技术领域technical field
本申请涉及数据处理技术领域，特别涉及一种审核组成员评估方法。本申请同时涉及一种审核组成员评估装置，一种计算设备，以及一种计算机可读存储介质。The present application relates to the technical field of data processing, in particular to a method for assessing audit team members. The present application also relates to an audit team member assessment device, a computing device, and a computer-readable storage medium.
背景技术Background technique
随着互联网的发展，市面上推出了很多互联网保险模式，在互联网保险模式中，参保人达到规定的准入条件后即可加入到保险业务中，所述保险模式的保险案件由“审核组”的审核组成员审核后决定是否进行理赔，此保险模式由于具有缴费金额低，受众规模大，相对更公平公正等优点，广受用户青睐。With the development of the Internet, many Internet insurance models have been launched on the market. In the Internet insurance model, the insured person can join the insurance business after meeting the prescribed access conditions. "The review team members will decide whether to settle the claim after reviewing. This insurance model is widely favored by users because of its advantages such as low payment amount, large audience size, and relatively fairness and justice.
保险业务模式中的“审核组”是一种保险调解机制，通过这一机制保险中的参保人可以参与到保险案件中的理赔决策环节，是保险行业的一种业务创新。这种机制具体是指一定人数的具有投票权的参保人参与决定保险运行过程中发生的保险案件，决定所述保险案件是否应理赔的制度，类似于英美法系国家司法体系中的陪审团。The "review team" in the insurance business model is an insurance mediation mechanism, through which the insured in the insurance can participate in the decision-making process of claims in insurance cases, which is a business innovation in the insurance industry. This mechanism specifically refers to the system in which a certain number of insured persons with voting rights participate in the decision of insurance cases that occur during the insurance operation process and decide whether the insurance cases should be settled, similar to the jury in the judicial system of countries with Anglo-American law system .
保险审核组成员是保险业务中非常重要的角色，目前的保险审核组成员需要经过一系列的认证通过后才能拥有相关项目案件的投票权利，保险审核组成员的质量是保险审核组能够有效运转的基础，但是在保险案件审核期间经常会出现部分保险审核组成员长期不参与审核或者不按照投票规则进行投票，扰乱审核秩序，导致保险审核组丧失公信力，有问题的保险审核组成员也无法得到及时处理或者处罚。The members of the insurance audit team play a very important role in the insurance business. The current members of the insurance audit team need to pass a series of certifications before they can have the right to vote in relevant project cases. The quality of the insurance audit team members is what the insurance audit team can effectively operate. However, during the review of insurance cases, it often happens that some members of the insurance review team do not participate in the review for a long time or do not vote in accordance with the voting rules, disrupting the review order, causing the insurance review team to lose its credibility, and members of the insurance review team with problems cannot be timely deal with or punish.
发明内容Contents of the invention
有鉴于此，本申请提供了一种审核组成员评估方法，以解决现有技术中存在的技术缺陷。本申请同时提供了一种审核组成员评估装置，一种计算设备，以及一种计算机可读存储介质。In view of this, this application provides an assessment method for review team members to solve the technical defects in the prior art. The present application also provides an evaluation device for audit team members, a computing device, and a computer-readable storage medium.
本申请提供一种审核组成员评估方法，包括：This application provides a method for assessing audit team members, including:
获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；Obtain the audit behavior data of the audit team members in the project during the project operation process for the audit of project cases;
基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；calculating the review action score and interaction score of the review team members for project case review based on the review behavior data;
基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；clustering the review team members based on the review action scores, the interaction scores, and case review result data of the review team members, to obtain abnormal members among the review team members;
对所述异常成员在其所属的项目审核组中进行清退处理。The abnormal members are removed from the project review team to which they belong.
可选的，所述审核行为数据，包括下述至少一项：Optionally, the review behavior data includes at least one of the following:
审核动作行为数据，审核互动行为数据；Review action behavior data, review interactive behavior data;
其中，所述审核动作行为数据包括下述至少一项：Wherein, the audit action behavior data includes at least one of the following:
所述审核组成员在所述项目案件的审核材料的材料页面停留时长，所述审核组成员在所述项目案件的审核观点的观点页面停留时长；The length of time that the audit team members stay on the material page of the audit materials of the project case, and the length of time that the audit team members stay on the opinion page of the audit viewpoint of the project case;
所述审核互动行为数据包括下述至少一项：The review interaction behavior data includes at least one of the following:
所述审核组成员在审核所述项目案件过程中的投票次数，所述审核组成员在审核所述项目案件过程中的观点发表次数，所述审核组成员在审核所述项目案件过程中的评论发表次数，所述审核组成员在审核所述项目案件过程中的点赞次数。The number of votes of the audit team members in the process of reviewing the project case, the number of opinions expressed by the review team members in the process of reviewing the project case, and the comments of the review team members in the process of reviewing the project case The number of publications, the number of likes received by members of the audit team during the process of reviewing the project case.
可选的，所述审核动作评分，采用如下方式进行计算：Optionally, the review action score is calculated in the following manner:
计算所述项目案件的各个页面的停留时长与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个页面的平均停留时长；calculating the ratio of the length of stay on each page of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average length of stay on each page;
计算所述平均停留时长与所述项目案件的各个页面权重的乘积，作为所述各个页面对应的第一乘积；Calculate the product of the average stay time and the weight of each page of the project case as the first product corresponding to each page;
将所述项目案件的所述第一乘积求和，作为所述审核动作评分。Summing up the first products of the item cases as the review action score.
可选的，所述互动分数，采用如下方式进行计算：Optionally, the interaction score is calculated in the following manner:
计算所述项目案件审核过程中所述审核组成员各个审核行为的次数与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个审核行为的平均次数；Calculating the ratio of the number of times of each review behavior of the review team members during the review process of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average number of times of each review behavior;
计算所述平均次数与各个审核行为权重的乘积，作为各个审核行为的第二乘积；Calculate the product of the average number of times and the weight of each audit action as the second product of each audit action;
将所述项目案件的所述第二乘积求和，作为所述互动分数。summing the second product of the item cases as the interaction score.
可选的，所述基于所述审核动作评分和所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员聚类，获得所述审核组成员中的异常成员，包括：Optionally, clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members, and obtaining the abnormal members among the review team members includes:
获取所述审核组成员的所述案件审核结果数据；Obtaining the case review result data of the review team members;
根据所述审核动作评分和所述互动分数确定所述审核组成员的审核动作评分等级和互动等级；determining the review action score level and interaction level of the review team members according to the review action score and the interaction score;
根据所述案件审核结果数据、所述审核动作评分等级及所述互动等级对所述审核组成员进行聚类；clustering the review team members according to the case review result data, the review action scoring level and the interaction level;
根据所述聚类结果确定所述审核组成员中的异常成员名单。A list of abnormal members among the audit team members is determined according to the clustering result.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述互动分数是否低于所述项目的预设互动分数阈值；judging whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold are removed from the project review team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述互动分数是否低于所述项目的预设互动分数阈值且所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the interaction score is lower than the preset interaction score threshold of the item and whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose interaction score is lower than the preset interaction score threshold and whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
获取所述审核组成员在所述项目运行过程中的各审核节点的审核节点行为数据；Obtain the audit node behavior data of each audit node of the audit team members during the operation of the project;
基于所述审核节点行为数据计算所述审核组成员的活跃度分数；calculating activity scores of the audit team members based on the audit node behavior data;
判断所述活跃度分数是否低于所述项目的活跃度分数预设阈值；judging whether the activity score is lower than the activity score preset threshold of the project;
若是，对所述活跃度分数低于所述活跃度分数预设阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose activity score is lower than the preset threshold of the activity score are removed from the project review team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤；If not, performing the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members;
其中，所述审核节点行为数据包括：Wherein, the audit node behavior data includes:
审核前行为数据，审核中行为数据，审核后行为数据。Behavior data before audit, behavior data during audit, and behavior data after audit.
可选的，所述活跃度分数，采用如下方式进行计算：Optionally, the activity score is calculated in the following manner:
计算所述项目中各个审核节点的预设分值与预设加权数的乘积，作为节点乘积；Calculate the product of the preset score and the preset weighted number of each review node in the project as the node product;
将所述项目中各个审核节点的所述节点乘积求和，作为所述活跃度分数。The sum of the node products of each audit node in the project is used as the activity score.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中出现预先录入的不规范词汇的次数是否大于预设阈值；Judging whether the number of pre-entered non-standard words appearing in the language published thesaurus is greater than a preset threshold;
若是，则对所述语言发表词库中所述不规范词汇出现次数大于所述预设阈值的审核组成员在所述项目审核组中进行清退处理；If so, the members of the audit team whose occurrence times of the non-standard vocabulary in the language published thesaurus are greater than the preset threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中是否包含预先录入的不规范词汇；Judging whether the language published thesaurus contains pre-entered non-standard vocabulary;
若是，判断所述互动分数是否低于所述项目的预设互动分数阈值；If yes, determine whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述语言发表词库中包含所述不规范词汇的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold and whose language publication thesaurus contains the non-standard vocabulary are removed from the project review team;
若所述互动分数不低于所述项目的预设互动分数阈值，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If the interaction score is not lower than the preset interaction score threshold of the item, perform the review on the review team members based on the review action score, the interaction score and the case review result data of the review team members. Clustering, the step of obtaining abnormal members among the members of the review group.
本申请还提供一种审核组成员评估装置，包括：This application also provides an assessment device for audit team members, including:
获取模块，被配置为获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；The acquisition module is configured to acquire the audit behavior data of the audit team members in the project during the project operation process for the audit of project cases;
计算模块，被配置为基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；A calculation module configured to calculate the review action scores and interaction scores of the review team members for project case review based on the review behavior data;
聚类模块，被配置为基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；The clustering module is configured to cluster the review team members based on the review action scores, the interaction scores and the case review result data of the review team members, and obtain abnormal members among the review team members;
清退模块，被配置为对所述异常成员在其所属的项目审核组中进行清退处理。The removal module is configured to remove the abnormal member from the project review team to which he belongs.
本申请还提供一种计算设备，包括：The present application also provides a computing device, comprising:
存储器和处理器；memory and processor;
所述存储器用于存储计算机可执行指令，所述处理器用于执行所述计算机可执行指令：The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions:
获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；Obtain the audit behavior data of the audit team members in the project during the project operation process for the audit of project cases;
基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；calculating the review action score and interaction score of the review team members for project case review based on the review behavior data;
基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；clustering the review team members based on the review action scores, the interaction scores, and case review result data of the review team members, to obtain abnormal members among the review team members;
对所述异常成员在其所属的项目审核组中进行清退处理。The abnormal members are removed from the project review team to which they belong.
本申请还提供一种计算机可读存储介质，其存储有计算机指令，该指令被处理器执行时实现上述审核组成员评估方法的步骤。The present application also provides a computer-readable storage medium, which stores computer instructions, and when the instructions are executed by a processor, the steps of the above method for assessing members of the audit team are realized.
与现有技术相比，本申请具有如下优点：Compared with the prior art, the present application has the following advantages:
本申请提供一种审核组成员评估方法及装置，所述方法包括：获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；对所述异常成员在其所属的项目审核组中进行清退处理。The present application provides a method and device for assessing audit team members. The method includes: obtaining audit behavior data of audit team members in the project during the project operation process for auditing project cases; The review action scores and interaction scores of the review team members for project case review; based on the review action scores, the interaction scores and the case review result data of the review team members, the review team members are clustered to obtain all Abnormal members among the above-mentioned review team members; the above-mentioned abnormal members are removed from the project review team to which they belong.
本申请提供的审核组成员评估方法，通过获取审核组成员在项目运行过程中针对项目案件的审核行为数据，根据所述审核行为数据对审核组成员打分，根据打分结果及审核组成员的审核结果对审核组成员进行聚类，根据聚类结果得到审核组成员当中的异常成员并进行清退，保证了审核组成员的成员素质及审核的合理性。The evaluation method of the review team members provided in this application is to obtain the review behavior data of the review team members for project cases during the project operation process, score the review team members according to the review behavior data, and based on the scoring results and the review results of the review team members The audit team members are clustered, and the abnormal members among the audit team members are obtained and removed according to the clustering results, which ensures the quality of the audit team members and the rationality of the audit.
附图说明Description of drawings
图1是本申请实施例提供的一种审核组成员评估方法处理流程图；Fig. 1 is a processing flowchart of a method for assessing members of an audit team provided in the embodiment of the present application;
图2是本申请实施例提供的一种审核组成员评估方法应用于健康险场景的处理流程图；Fig. 2 is a processing flow chart of a method for assessing members of an audit team applied to a health insurance scenario provided by an embodiment of the present application;
图3是本申请实施例提供的一种审核组成员评估装置的示意图；Fig. 3 is a schematic diagram of an evaluation device for audit team members provided in the embodiment of the present application;
图4是本申请实施例提供的一种计算设备的结构框图。Fig. 4 is a structural block diagram of a computing device provided by an embodiment of the present application.
具体实施方式Detailed ways
在下面的描述中阐述了很多具体细节以便于充分理解本申请。但是本申请能够以很多不同于在此描述的其它方式来实施，本领域技术人员可以在不违背本申请内涵的情况下做类似推广，因此本申请不受下面公开的具体实施的限制。In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.
在本说明书一个或多个实施例中使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本说明书一个或多个实施例。在本说明书一个或多个实施例和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本说明书一个或多个实施例中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "the", and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and/or" used in one or more embodiments of the present specification refers to and includes any or all possible combinations of one or more associated listed items.
应当理解，尽管在本说明书一个或多个实施例中可能采用术语第一、第二等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本说明书一个或多个实施例范围的情况下，第一也可以被称为第二，类似地，第二也可以被称为第一。取决于语境，如在此所使用的词语“如果”可以被解释成为“在……时”或“当……时”或“响应于确定”。It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present specification, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, the first may also be referred to as the second, and similarly, the second may also be referred to as the first without departing from the scope of one or more embodiments of the present specification. Depending on the context, the word "if" as used herein may be interpreted as "at" or "when" or "in response to a determination."
本申请提供一种审核组成员评估方法，本申请还提供一种审核组成员评估装置，一种计算设备，以及一种计算机可读存储介质。以下分别结合本申请提供的实施例的附图逐一进行详细说明，并且对方法的各个步骤进行说明。The present application provides a method for assessing audit team members, and the present application also provides an audit team member assessing device, a computing device, and a computer-readable storage medium. The following describes in detail one by one with reference to the drawings of the embodiments provided in the present application, and describes each step of the method.
本申请提供的一种审核组成员评估方法实施例如下：An example of an assessment method for audit team members provided by this application is as follows:
参照附图1，其示出了本实施例提供的一种审核组成员评估方法处理流程图；参照附图2，其示出了本实施例提供的一种审核组成员评估方法应用于健康险场景的处理流程图。Referring to accompanying drawing 1, it shows a kind of audit team member assessment method processing flowchart provided by this embodiment; Scenario processing flowchart.
步骤S102，获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据。Step S102, acquiring the audit behavior data of the audit team members in the project during the project operation process for auditing project cases.
本申请实施例所述项目，包括保险项目，众筹项目，投资项目等，在此不做限定。所述保险，包括健康险、重疾险、医疗险、护理险以及意外伤害险等。相应的，所述项目案件，包括保险案件，众筹案件，投资案件等，在此不作限定。The projects described in the embodiments of this application include insurance projects, crowdfunding projects, investment projects, etc., which are not limited here. The insurance includes health insurance, critical illness insurance, medical insurance, nursing insurance and accidental injury insurance. Correspondingly, the project cases mentioned include insurance cases, crowdfunding cases, investment cases, etc., which are not limited here.
在本申请实施例中，所述审核组成员是指参与所述项目的审核组成员，包括：参与上述保险项目的保险审核组成员，参与上述众筹项目的众筹审核组成员，参与上述投资项目的投资审核组成员等。In this embodiment of the application, the members of the audit team refer to the members of the audit team participating in the project, including: members of the insurance audit team participating in the above-mentioned insurance project, members of the crowdfunding audit team participating in the above-mentioned crowdfunding project, participating in the above-mentioned investment Project investment review team members, etc.
以健康险为例，所述审核组成员从加入所述健康险的参保人中选出，具体的，参保人申请加入健康险审核组后，参加所述健康险审核组的健康险审核组成员认证，所述参保人在通过所述健康险审核组的所述健康险审核组成员认证后加入健康险审核组，成为所述健康险的健康险审核组成员；所述项目案件为所述参保人参与所述健康险过程中生成的需要申请理赔的健康险案件。Taking health insurance as an example, the members of the audit team are selected from the insureds who have joined the health insurance. Specifically, after the insureds apply to join the health insurance audit team, they will participate in the health insurance audit of the health insurance audit team Group member certification, the insured person joins the health insurance audit team after passing the health insurance audit team member certification of the health insurance audit team, and becomes a member of the health insurance audit team of the health insurance; the project case is The insured person participates in the health insurance cases generated during the health insurance process and needs to apply for compensation.
本申请实施例以对健康险审核组成员在参与健康险审核过程中的行为进行评估为例，对本申请实施例提供的审核组成员评估方法进行说明。The embodiment of the present application uses the evaluation of the behavior of the members of the health insurance review team participating in the health insurance review process as an example to describe the method for evaluating the review team members provided in the embodiment of the present application.
在本申请实施例中，所述项目的所述审核组成员针对所述项目运行过程中生成的多个项目案件进行审核后，获取所述审核组成员的审核行为数据，所述审核行为数据，包括下述至少一项：In this embodiment of the application, after the audit team members of the project audit multiple project cases generated during the operation of the project, the audit behavior data of the audit team members are obtained, and the audit behavior data, Include at least one of the following:
审核动作行为数据，审核互动行为数据。Review action behavior data, review interactive behavior data.
所述审核动作行为数据，包括所述审核组成员在所述项目案件的审核材料的材料页面停留时长，所述审核组成员在所述项目案件的审核观点的观点页面停留时长等，除此之外，所述审核动作行为数据还可以是除上述页面之外的其他所述项目案件相关的页面的停留时长，如案件内容页面，案件理赔页面等，在此不做限定。The audit action behavior data includes the length of time that the audit team members stay on the material page of the audit materials of the project case, the length of time the audit team members stay on the opinion page of the audit viewpoint of the project case, etc. In addition, the review action data may also be the length of stay on other pages related to the project case other than the above-mentioned pages, such as the case content page, the case claims page, etc., which are not limited here.
所述审核互动行为数据包括所述审核组成员在审核所述项目案件过程中的投票次数，所述审核组成员在审核所述项目案件过程中的观点发表次数，所述审核组成员在审核所述项目案件过程中的评论发表次数，所述审核组成员在审核所述项目案件过程中的点赞次数等，除此之外，所述审核互动行为数据还可以是除上述行为之外的其他审核所述项目案件过程中的互动行为数据，如项目案件的点击次数等，在此不作限定。The audit interaction behavior data includes the number of votes of the audit team members in the process of auditing the project case, the number of views expressed by the audit team members in the process of auditing the project case, The number of comments published during the process of the project case, the number of likes of the review team members during the process of reviewing the project case, etc. In addition, the review interaction behavior data can also be other behaviors other than the above-mentioned behaviors. The interactive behavior data in the process of reviewing the project case, such as the number of clicks on the project case, etc., is not limited here.
例如，在项目为健康类保险的场景中，健康险的审核组成员即为健康险审核组成员，在健康险的参保人申请加入健康险的健康险审核组，并通过健康险审核组的认证后，成为健康险的健康险审核组成员，健康险审核组成员针对健康险运行过程中生成的健康险案件进行审核后，获取健康险审核组成员的审核行为数据，所述审核行为数据包括审核动作行为数据和审核互动行为数据，其中所述审核动作行为数据包括健康险审核组成员在健康险案件的审核材料的材料页面停留时长，健康险审核组成员在健康险案件的审核观点的观点页面停留时长，所述审核互动行为数据包括健康险审核组成员在审核健康险案件过程中的投票次数，健康险审核组成员在审核健康险案件过程中的观点发表次数，健康险审核组成员在审核健康险案件过程中的评论发表次数，健康险审核组成员在审核健康险案件过程中的点赞次数。For example, in the scenario where the project is health insurance, the members of the health insurance review team are the members of the health insurance review team. When the health insurance participant applies to join the health insurance review team of health insurance, and passes the approval of the health insurance review team After certification, become a member of the health insurance audit team of health insurance. After the members of the health insurance audit team review the health insurance cases generated during the operation of the health insurance, they will obtain the audit behavior data of the health insurance audit team members. The audit behavior data includes Audit action behavior data and audit interaction behavior data, wherein the audit action behavior data includes the length of time that the members of the health insurance audit team stay on the material page of the audit materials of the health insurance case, and the views of the members of the health insurance audit team in the audit of the health insurance case The length of stay on the page, the review interaction behavior data includes the number of votes of members of the health insurance review team in the process of reviewing health insurance cases, the number of views expressed by members of the health insurance review team in the process of reviewing health insurance cases, and the number of times members of the health insurance review team The number of comments published during the review of health insurance cases, and the number of likes received by members of the health insurance review team during the review of health insurance cases.
由此可见，本申请实施例是在审核组成员针对项目案件进行审核后，自动获得所述审核组成员的审核行为数据，以便于后续基于所述审核行为数据对审核组成员进行评估。It can be seen that in the embodiment of the present application, after the audit team members audit the project case, the audit behavior data of the audit team members is automatically obtained, so as to facilitate subsequent evaluation of the audit team members based on the audit behavior data.
步骤S104，基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数。Step S104 , calculating the review action scores and interaction scores of the review team members for project case review based on the review behavior data.
上述步骤获取审核组成员针对项目案件审核的审核行为数据后，根据所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数。After the above steps obtain the review behavior data of the review team members for the project case review, calculate the review action scores and interaction scores of the review team members for the project case review according to the review behavior data.
在本申请实施例提供的一种可选实施方案中，所述审核动作评分，采用如下方式进行计算：In an optional implementation solution provided in the embodiment of this application, the review action score is calculated in the following manner:
计算所述项目案件的各个页面的停留时长与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个页面的平均停留时长；calculating the ratio of the length of stay on each page of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average length of stay on each page;
计算所述平均停留时长与所述项目案件的各个页面权重的乘积，作为所述各个页面对应的第一乘积；Calculate the product of the average stay time and the weight of each page of the project case as the first product corresponding to each page;
将所述项目案件的所述第一乘积求和，作为所述审核动作评分。Summing up the first products of the item cases as the review action score.
本实施例中，所述各个页面的平均停留时长计算过程如下：In this embodiment, the calculation process of the average stay time of each page is as follows:
其中，所述各个页面的停留时长与所述各个页面权重的对应关系如下表所示：Wherein, the corresponding relationship between the duration of each page and the weight of each page is shown in the following table:
参照上表，材料页面的平均停留时长＝Detail stay duration/被邀请次数，类似的，观点页面的平均停留时长＝Opoion stay duration/被邀请次数；Referring to the above table, the average length of stay on the material page = Detail stay duration/number of invitations, similarly, the average length of stay on the opinion page = Opoion stay duration/number of invitations;
审核动作评分＝(材料页面的平均停留时长*材料页面的页面权重dsd％)+(观点页面的平均停留时长*观点页面的页面权重osd％)。Review action score = (average stay time of material pages * page weight dsd% of material pages) + (average stay time of opinion pages * page weight osd% of opinion pages).
例如，在获取到所述健康险审核组成员的材料页面的停留时长为8min，观点页面的停留时长为12min后，计算健康险审核组成员的审核动作评分，健康险审核组成员被邀请审核健康险案件次数为2次，所述材料页面的页面权重为50％，所述观点页面的页面权重为50％，基于此，所述审核动作评分＝(材料页面的平均停留时长*材料页面的页面权重dsd％)+(观点页面的停留时长*观点页面的页面权重osd％)，即8*50％/2+12*50％/2＝5，则所述健康险审核组成员的审核动作评分为5。For example, after obtaining the material page of the health insurance review team members for 8 minutes and the opinion page for 12 minutes, calculate the review action scores of the health insurance review team members, and the health insurance review team members are invited to review the health The number of dangerous cases is 2 times, the page weight of the material page is 50%, and the page weight of the opinion page is 50%. Based on this, the review action score=(the average stay time of the material page*page of the material page Weight dsd%)+(staying time of opinion page*page weight osd% of opinion page), that is, 8*50%/2+12*50%/2=5, then the audit action score of the members of the health insurance audit team for 5.
进一步，所述互动分数，可选采用如下方式进行计算：Further, the interaction score can optionally be calculated in the following manner:
计算所述项目案件审核过程中所述审核组成员各个审核行为的次数与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个审核行为的平均次数；Calculating the ratio of the number of times of each review behavior of the review team members during the review process of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average number of times of each review behavior;
计算所述平均次数与各个审核行为权重的乘积，作为各个审核行为的第二乘积；Calculate the product of the average number of times and the weight of each audit action as the second product of each audit action;
将所述项目案件的所述第二乘积求和，作为所述互动分数。summing the second product of the item cases as the interaction score.
本实施例中，所述各个审核行为的平均次数计算过程如下：In this embodiment, the calculation process of the average times of each review behavior is as follows:
其中，所述各个审核行为的次数与所述各个审核行为权重的对应关系如下表所示：Wherein, the corresponding relationship between the times of each auditing behavior and the weight of each auditing behavior is shown in the following table:
参照上表，投票行为的平均次数＝Vote count/被邀请次数，类似的，发表观点行为的平均次数＝Opoion count/被邀请次数，发表评论行为的平均次数＝Comment count/被邀请次数,点赞行为的平均次数＝Praise count/被邀请次数；Referring to the above table, the average number of voting behaviors = Vote count/number of invitations, similarly, the average number of opinions published = Opoion count/number of invitations, the average number of comments posted = Comment count/number of invitations, likes The average number of actions = Praise count/number of invitations;
互动分数＝投票行为的平均次数*投票行为权重a％+发表观点行为的平均次数*发表观点行为权重b％+发表评论行为的平均次数*发表评论行为权重c％+点赞行为的平均次数*点赞行为权重d％。Interaction score = average number of voting behaviors * weight of voting behavior a% + average number of opinion behaviors * weight of opinion behavior b% + average number of comment behaviors * weight of comment behavior c% + average number of like behaviors* The weight of like action is d%.
例如，在获取到所述健康险审核组成员在审核健康险案件过程中的投票次数为2次，所述健康险审核组成员在审核健康险案件过程中的观点发表次数为4次，所述健康险审核组成员在审核健康险案件过程中的评论发表次数4次，所述健康险审核组成员在审核健康险案件过程中的点赞次数为2次，其中，投票行为权重为50％，观点发表行为权重为20％，评论发表行为权重为20％，点赞行为权重为10％，基于此，所述互动分数＝投票行为的平均次数*投票行为权重a％+发表观点行为的平均次数*发表观点行为权重b％+发表评论行为的平均次数*发表评论行为权重c％+点赞行为的平均次数*点赞行为权重d％，即2*50％/2+4*20％/2+4*20％/2+2*10％/2＝1.4，则所述健康险审核组成员的互动分数为1.4。For example, after obtaining the number of votes of the members of the health insurance audit team in the process of reviewing health insurance cases is 2 times, and the number of times that the members of the health insurance review team express opinions in the process of reviewing health insurance cases is 4 times, the Members of the health insurance review team posted 4 comments during the review of health insurance cases, and the number of likes of the members of the health insurance review team during the review of health insurance cases was 2 times, and the weight of voting behavior was 50%. The weight of opinion publishing behavior is 20%, the weight of comment publishing behavior is 20%, and the weight of liking behavior is 10%. Based on this, the interaction score=average number of voting behaviors*voting behavior weight a%+average number of opinions publishing behaviors *The weight of posting opinions b% + the average number of comments posted *the weight of comments c% + the average number of likes *the weight of likes d%, that is, 2*50%/2+4*20%/2 +4*20%/2+2*10%/2=1.4, then the interaction score of the members of the health insurance review team is 1.4.
在实际应用中，所述审核动作评分和所述互动分数还可通过其他计算方式计算获得，所述审核动作评分和所述互动分数计算过程中的数据还可以是除上述提供的数据以外的其他数据，在此不做限定。In practical applications, the review action score and the interaction score can also be calculated by other calculation methods, and the data in the process of calculating the review action score and the interaction score can also be other than the data provided above. The data is not limited here.
本申请实施例计算审核组成员的审核动作评分和互动分数，为所述审核组成员在审查项目案件中的审核动作和互动行为进行打分，实现了通过分数为审核组成员进行评估，方便区分出历史审核动作不良或互动行为不当的审核组成员。The embodiment of this application calculates the audit action scores and interaction scores of the audit team members, and scores the audit actions and interactive behaviors of the audit team members in the review project case, and realizes the evaluation of the audit team members by passing scores, which is convenient for distinguishing Review team members with history of bad review actions or inappropriate interactions.
步骤S106，基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员。Step S106, clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members, to obtain abnormal members among the review team members.
上述步骤计算得到审核动作评分及互动分数后，获取所述审核组成员的案件审核结果数据并对基于所述审核结果数据、所述审核动作评分及所述互动分数对所述审核组成员进行聚类，获得所述审核组成员中的异常成员。After the audit action scores and interaction scores are calculated in the above steps, the case audit result data of the audit team members are obtained, and the audit team members are aggregated based on the audit result data, the audit action scores, and the interaction scores. class to obtain the exception members in the audit group members.
在上述可选实施方式中提供的所述审核动作评分及所述互动分数的具体计算方式的基础上，可选的，本申请实施例中的所述基于所述审核动作评分和所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员聚类，获得所述审核组成员中的异常成员，通过如下方式实现：On the basis of the specific calculation method of the review action score and the interaction score provided in the above optional implementation manner, optionally, the review action score and the interaction score in the embodiment of the application and the case audit result data of the audit team members are clustered on the audit team members, and the abnormal members among the audit team members are obtained, which is realized in the following manner:
获取所述审核组成员的所述案件审核结果数据；Obtaining the case review result data of the review team members;
根据所述审核动作评分和所述互动分数确定所述审核组成员的审核动作评分等级和互动等级；determining the review action score level and interaction level of the review team members according to the review action score and the interaction score;
根据所述案件审核结果数据、所述审核动作评分等级及所述互动等级对所述审核组成员进行聚类；clustering the review team members according to the case review result data, the review action scoring level and the interaction level;
根据所述聚类结果确定所述审核组成员中的异常成员名单。A list of abnormal members among the audit team members is determined according to the clustering result.
例如，在计算得到健康险审核组成员的所述审核动作评分和所述互动分数后，获取所述健康险审核组成员的健康险案件审核结果数据，所述健康险案件审核结果数据包括所述健康险审核组成员的投票选项，投票结果以及所述健康险案件的最终审核结果，并根据所述审核动作评分和所述互动分数确定所述健康险审核组成员的审核动作评分等级和互动等级，所述审核动作评分高于60分的为审核动作评分高级，所述审核动作评分低于60分高于20分为审核动作评分中级，所述审核动作评分低于20分为审核动作评分低级，所述互动分数同理，高于60分为互动分高级，低于60分高于20分为互动分中级，低于20分为互动分低级；For example, after calculating the audit action score and the interaction score of the health insurance audit team members, the health insurance case audit result data of the health insurance audit team members is obtained, and the health insurance case audit result data includes the The voting options of the health insurance audit team members, the voting results and the final audit results of the health insurance case, and determine the audit action score level and interaction level of the health insurance audit team members according to the audit action score and the interaction score , if the review action score is higher than 60 points, the review action score is high; , the interaction score is the same, higher than 60 points for high-level interaction points, lower than 60 points and higher than 20 points for intermediate interaction points, and lower than 20 points for low-level interaction points;
在等级确定完成后，基于所述健康险案件审核结果数据以及所述审核动作评分和互动分数的等级对所述健康险审核组成员进行聚类，将所述审核动作评分为审核动作评分低级、所述互动分数为互动分低级且所述健康险案件审核结果数据相似的所述健康险审核组成员聚类为异常成员，确定所述健康险审核组中的异常成员名单。After the level determination is completed, cluster the members of the health insurance audit team based on the audit result data of the health insurance case and the audit action scores and interaction scores, and score the audit actions as low-level, low-level, and low-level audit actions. The interaction score means that the members of the health insurance audit team with low interaction scores and similar health insurance case audit result data are clustered as abnormal members, and a list of abnormal members in the health insurance audit team is determined.
本申请实施例通过对审核组成员的审核动作评分和互动分数进行等级划分，减少了聚类过程的工作量，并通过审核动作评分等级和互动分数等级以及所述审核组成员的审核结果数据对所述审核组成员进行聚类，区分出审核动作评分、互动分数低并且所述审核结果数据相似的所述审核组成员为异常成员，以便于后续清退过程。In the embodiment of the present application, the workload of the clustering process is reduced by classifying the review action scores and interaction scores of the review team members, and the review action score levels and interaction score levels as well as the review result data of the review team members are compared. The audit team members are clustered to distinguish the audit team members with low audit action scores, low interaction scores and similar audit result data as abnormal members, so as to facilitate the subsequent removal process.
在上述可选实施方式中提供的所述审核动作评分及所述互动分数的具体计算方式的基础上，在本申请实施例的一种可选实施方案中，基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数之后，且基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员之前，包括：On the basis of the specific calculation method of the review action score and the interaction score provided in the above optional implementation manner, in an optional implementation solution of the embodiment of this application, the After the audit team members score the audit actions and interaction scores of the project case audit, and based on the audit action scores, the interaction scores, and the case audit result data of the audit team members, the audit team members are clustered to obtain Anomalous members of the audit team members prior to, include:
判断所述互动分数是否低于所述项目的预设互动分数阈值；judging whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold are removed from the project review team;
若否，执行下述步骤S108。If not, execute the following step S108.
在上述可选实施方式中提供的所述审核动作评分及所述互动分数的具体计算方式的基础上，本申请实施例的第二种可选实施方案中，基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数之后，且基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员之前，包括：On the basis of the specific calculation method of the review action score and the interaction score provided in the above optional implementation, in the second optional implementation of the embodiment of the present application, the After the audit team members score the audit actions and interaction scores of the project case audit, and based on the audit action scores, the interaction scores, and the case audit result data of the audit team members, the audit team members are clustered to obtain Anomalous members of the audit team members prior to, include:
判断所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行下述步骤S108。If not, execute the following step S108.
在上述可选实施方式中提供的所述审核动作评分及所述互动分数的具体计算方式的基础上，可选的，本申请实施例的第三种可选实施方案中，基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数之后，且基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员之前，包括：On the basis of the specific calculation method of the review action score and the interaction score provided in the above optional implementation, optionally, in the third optional implementation of the embodiment of the present application, based on the review action After calculating the audit action scores and interaction scores of the audit team members for project case audit, and based on the audit action scores, the interaction scores, and the audit team members' case audit result data, the audit team members are evaluated. Clustering, before obtaining anomalous members among the review team members, includes:
判断所述互动分数是否低于所述项目的预设互动分数阈值且所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the interaction score is lower than the preset interaction score threshold of the item and whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose interaction score is lower than the preset interaction score threshold and whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行下述步骤S108。If not, execute the following step S108.
可选的，本申请实施例的第四种可选实施方案中，基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数之后，且基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员之前，包括：Optionally, in the fourth optional implementation solution of the embodiment of the present application, after calculating the review action scores and interaction scores of the review team members for project case review based on the review behavior data, and based on the review action scores , the interaction score and the case audit result data of the audit team members cluster the audit team members, and before obtaining the abnormal members among the audit team members, it includes:
获取所述审核组成员在所述项目运行过程中的各审核节点的审核节点行为数据；Obtain the audit node behavior data of each audit node of the audit team members during the operation of the project;
基于所述审核节点行为数据计算所述审核组成员的活跃度分数；calculating activity scores of the audit team members based on the audit node behavior data;
判断所述活跃度分数是否低于所述项目的活跃度分数预设阈值；judging whether the activity score is lower than the activity score preset threshold of the project;
若是，对所述活跃度分数低于所述活跃度分数预设阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose activity score is lower than the preset threshold of the activity score are removed from the project review team;
若否，执行下述步骤S108；If not, perform the following step S108;
在此可选实施方案中，所述审核节点行为数据包括：In this optional implementation, the audit node behavior data includes:
审核前行为数据，审核中行为数据，审核后行为数据。Behavior data before audit, behavior data during audit, and behavior data after audit.
在此基础上，可选的，所述活跃度分数，采用如下方式进行计算：On this basis, optionally, the activity score is calculated in the following manner:
计算所述项目中各个审核节点的预设分值与预设加权数的乘积；作为节点乘积；Calculate the product of the preset score and the preset weight of each review node in the project; as the node product;
将所述项目中各个审核节点的所述节点乘积求和，作为所述活跃度分数。The sum of the node products of each audit node in the project is used as the activity score.
本申请实施例通过分析并计算审核组成员的互动分数、审核动作评分以及活跃度分数，对所述审核组成员的互动次数、审核动作以及活跃度有了清楚的衡量标准，便于区分出互动次数或活跃次数较低以及审核动作较差的所述审核成员，减少了聚类过程的工作量。By analyzing and calculating the interaction scores, review action scores, and activity scores of the review team members, the embodiment of the present application has a clear measurement standard for the number of interactions, review actions, and activity of the review team members, which is convenient for distinguishing the number of interactions Or the review members with low active times and poor review actions reduce the workload of the clustering process.
例如，在基于所述审核行为数据计算所述健康险审核组成员针对健康险案件审核的审核动作评分和互动分数之后，且基于所述审核动作评分、所述互动分数及所述健康险审核组成员的案件审核结果数据对所述健康险审核组成员进行聚类，获得所述健康险审核组成员中的异常成员之前，获取所述健康险审核组成员在所述健康险运行过程中的各审核节点的审核节点行为数据，并基于所述审核节点行为数据计算所述健康险审核组成员的活跃度分数，所述活跃分数，通过如下方式计算：For example, after calculating the review action scores and interaction scores of the health insurance review team members for the review of health insurance cases based on the review behavior data, and based on the review action scores, the interaction scores and the health insurance review team The case audit result data of members clusters the members of the health insurance audit team, and before obtaining the abnormal members among the members of the health insurance audit team, obtain the individual data of the health insurance audit team members during the operation of the health insurance The audit node behavior data of the audit node, and calculate the activity score of the health insurance audit team members based on the audit node behavior data, and the activity score is calculated in the following way:
其中，所述审核节点行为数据与所述预设分值及所述预设加权数的对应关系如下表所示：Wherein, the corresponding relationship between the audit node behavior data and the preset score and the preset weighted number is shown in the following table:
通过对以上所有审核节点行为数据与其对应的预设分值和预设加权数相乘，并将得到的各个乘积相加求和，计算活跃度分数：10*10％+10*10％+10*10％+10*10％+20*20％+10*10％+20*20％+10*10％＝10，在上述计算得到所述活跃度分数的基础上，判断所述活跃度分数是否低于所述健康险的活跃度分数预设阈值8；若低于8，对所述活跃度分数低于所述活跃度分数预设阈值的健康险审核组成员进行所述健康险审核组的清退处理；上述健康险审核组成员的活跃度分数为10，不低于所述活跃度分数阈值8，则不进行清退，执行下述基于所述审核动作评分、所述互动分数及所述健康险审核组成员的健康险案件审核结果数据对所述健康险审核组成员进行聚类，获得所述健康险审核组成员中的异常成员步骤。By multiplying all the above audit node behavior data with their corresponding preset scores and preset weights, and adding and summing the obtained products, the activity score is calculated: 10*10%+10*10%+10 *10%+10*10%+20*20%+10*10%+20*20%+10*10%=10, on the basis of the activity score obtained from the above calculation, determine the activity score Whether it is lower than the preset threshold 8 of the activity score of the health insurance; if it is lower than 8, conduct the health insurance audit team member whose activity score is lower than the preset threshold of the activity score. If the activity score of the above-mentioned health insurance audit team members is 10 and is not lower than the activity score threshold of 8, then no cancellation will be performed, and the following procedures will be performed based on the audit action score, the interaction score and The health insurance case audit result data of the health insurance audit team members is clustered on the health insurance audit team members, and the step of obtaining abnormal members among the health insurance audit team members is obtained.
上述活跃度分数计算过程中的审核节点行为数据除了上述提供的各个审核节点及各审核节点行为数据外，还可以是其他审核节点中对应的审核节点行为数据，在此不作限定。In addition to the audit nodes and the behavior data of each audit node provided above, the audit node behavior data in the above activity score calculation process can also be the corresponding audit node behavior data in other audit nodes, which is not limited here.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中出现预先录入的不规范词汇的次数是否大于预设阈值；Judging whether the number of pre-entered non-standard words appearing in the language published thesaurus is greater than a preset threshold;
若是，则对所述语言发表词库中所述不规范词汇出现次数大于所述预设阈值的审核组成员在所述项目审核组中进行清退处理；If so, the members of the audit team whose occurrence times of the non-standard vocabulary in the language published thesaurus are greater than the preset threshold are removed from the project audit team;
若否，执行下述步骤S108。If not, execute the following step S108.
例如，预先在所述健康险中录入不规范词汇，在所述健康险审核组成员审核所述健康险案件后获取所述健康险审核组成员的语言发表词库，判断所述健康险审核组成员的所述语言发表词库中出现所述预先录入的不规范词汇的次数是否大于预设阈值，所述阈值为2次，若大于2次，则对所述不规范词汇次数出现次数大于预设阈值的所述健康险审核组成员进行清退处理，若不大于2次，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述健康险审核组成员进行聚类，获得所述健康险审核组成员中的异常成员步骤。For example, non-standard vocabulary is entered in the health insurance in advance, after the members of the health insurance review team review the health insurance case, the language expression vocabulary of the members of the health insurance review team is obtained, and the health insurance review team judges Whether the number of times of the pre-entered irregular vocabulary appearing in the language published thesaurus of the member is greater than the preset threshold, and the threshold is 2 times. If it is greater than 2 times, the number of occurrences of the irregular vocabulary is greater than the preset The members of the health insurance audit team with a threshold value are cleared, if not more than 2 times, the health insurance audit team members based on the audit action score, the interaction score and the audit result data of the audit team members are executed. The step of clustering the members of the health insurance review team and obtaining the abnormal members among the members of the health insurance review team.
本申请实施例通过预先录入不规范词汇，对审核组成员的语言发表有了明确规范，以便于及时发现并清退语言发表不规范或有辱骂行为的所述审核组成员，提高了审核组成员的质量，规范了审核组成员的语言。In the embodiment of the present application, by pre-entering non-standard vocabulary, the language expression of the audit team members has been clearly regulated, so that the audit team members who have irregular language expressions or abusive behaviors can be found and removed in time, and the audit team members have been improved. quality and standardize the language of the audit team members.
在上述可选实施方式中提供的所述审核动作评分及所述互动分数的具体计算方式的基础上，可选的，基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数之后，且基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员之前，包括：On the basis of the specific calculation method of the review action score and the interaction score provided in the above optional implementation manner, optionally, calculate the review action of the review team members for project case review based on the review behavior data After scoring and interaction scores, cluster the review team members based on the review action scores, the interaction scores and the case review result data of the review team members, and obtain the abnormal members among the review team members ,include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中是否包含预先录入的不规范词汇；Judging whether the language published thesaurus contains pre-entered non-standard vocabulary;
若是，判断所述互动分数是否低于所述项目的预设互动分数阈值；If yes, determine whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述语言发表词库中包含所述不规范词汇的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold and whose language publication thesaurus contains the non-standard vocabulary are removed from the project review team;
若所述互动分数不低于所述项目的预设互动分数阈值，执行下述步骤S108。If the interaction score is not lower than the preset interaction score threshold of the item, the following step S108 is executed.
本申请实施例通过对审核组成员进行聚类，确定所述项目审核组中的异常成员，方便对所述异常成员执行清退操作，减少了人工辨别异常成员的工作量，提高了清退低质量审核组成员的效率。In the embodiment of the present application, by clustering the members of the audit team, the abnormal members in the project audit team are determined, which facilitates the removal of the abnormal members, reduces the workload of manual identification of abnormal members, and improves the efficiency of clearing and retiring. Efficiency of quality review team members.
步骤S108，对所述异常成员在其所属的项目审核组中进行清退处理。Step S108, remove the abnormal member from the project review team to which he belongs.
上述步骤确定所述审核组成员中的异常成员后，将所述异常成员从其所属的项目审核组中进行清退处理。After the above steps determine the abnormal members among the audit team members, remove the abnormal members from the project audit team to which they belong.
本申请通过自动清退所述审核组成员中的异常成员，省去了人工清退异常成员的过程，节约了人工成本，同时保证了清退处理准确性。This application eliminates the process of manually removing abnormal members by automatically removing abnormal members from the audit team members, saves labor costs, and ensures the accuracy of removal processing.
例如，确定所述健康险审核组成员中的异常成员后，将所述异常成员从所述健康险审核组中进行清退处理，所述清退处理完成后，所述异常成员不再是所述健康险审核组的健康险审核组成员。For example, after determining the abnormal member among the members of the health insurance review team, remove the abnormal member from the health insurance review group, and after the removal process is completed, the abnormal member is no longer the member. Members of the health insurance review team of the health insurance review team mentioned above.
下述结合附图2，以本申请提供的审核组成员评估方法在健康险场景的应用为例，对本申请提供的审核组成员评估方法进行进一步说明：In conjunction with Figure 2 below, taking the application of the audit team member assessment method provided by this application in the health insurance scenario as an example, the audit team member assessment method provided by this application is further explained:
步骤S202，获取健康险审核组成员的审核行为数据。Step S202, acquiring audit behavior data of members of the health insurance audit team.
在项目为健康类保险的场景中，健康险的审核组成员即为健康险审核组成员，健康险的参保人申请加入健康险审核组，在参保人通过健康险审核组的认证后，成为所述健康险的健康险审核组成员，参与审核所述健康险运行过程中生成的健康险案件，获取所述健康险审核组成员在审核所述健康险案件过程中的审核行为数据。In the scenario where the project is health insurance, the members of the health insurance review team are the members of the health insurance review team. The health insurance insured applies to join the health insurance review team. After the insured person passes the certification of the health insurance review team, Become a member of the health insurance audit team of the health insurance, participate in the audit of the health insurance cases generated during the operation of the health insurance, and obtain audit behavior data of the health insurance audit team members in the process of auditing the health insurance cases.
步骤S204，计算互动分数及审核动作评分。Step S204, calculating the interaction score and review action score.
根据上述步骤获取的审核行为数据计算所述健康险审核组成员的审核动作评分及互动分数。Calculate the review action score and interaction score of the health insurance review team members according to the review behavior data obtained in the above steps.
步骤S206，判断所述审核动作评分及所述互动分数是否低于预设阈值。Step S206, judging whether the review action score and the interaction score are lower than a preset threshold.
在计算得到所述健康险审核组成员的审核动作评分和互动分数后，判断所述健康险审核组成员的所述审核动作评分和所述互动分数是否低于预设阈值，若所述审核动作评分和所述互动分数任意一项低于所述预设阈值，则执行步骤S208，若所述审核动作评分和所述互动分数均不低于所述预设阈值，则执行步骤S210。After calculating the audit action scores and interaction scores of the health insurance audit team members, it is judged whether the audit action scores and the interaction scores of the health insurance audit team members are lower than the preset threshold, if the audit action If any one of the score and the interaction score is lower than the preset threshold, execute step S208, and if neither the review action score nor the interaction score is lower than the preset threshold, execute step S210.
步骤S208，对健康险审核组成员进行清退处理。Step S208, remove the members of the health insurance review team.
在所述步骤S206执行完成后，若所述审核动作评分和所述互动分数任意一项低于所述预设阈值，则对所述审核动作评分和所述互动分数任意一项低于所述预设阈值的健康险审核组成员从所述健康险审核组中进行清退处理，所述清退处理完成后，该成员不再是所述健康险审核组的健康险审核组成员。After the execution of step S206 is completed, if any one of the review action score and the interaction score is lower than the preset threshold, then either the review action score or the interaction score is lower than the A member of the health insurance audit team with a preset threshold is removed from the health insurance audit team. After the clearing process is completed, the member is no longer a member of the health insurance audit team of the health insurance audit team.
步骤S210，获取健康险审核组成员的健康险节点数据。Step S210, acquiring health insurance node data of members of the health insurance review team.
在所述步骤S206执行完成后，若所述审核动作评分和所述互动分数均不低于所述预设阈值，获取所述健康险审核组成员在所述健康险运行过程中的各审核节点的健康险节点行为数据。After the execution of step S206 is completed, if neither the audit action score nor the interaction score is lower than the preset threshold, obtain the audit nodes of the health insurance audit team members during the health insurance operation process Behavior data of health insurance nodes.
步骤S212，计算健康险审核组成员的活跃度分数。Step S212, calculating the activity scores of the members of the health insurance review team.
上述步骤S210获取所述健康险审核组成员的所述健康险节点行为数据后，基于所述健康险节点行为数据计算所述健康险审核组成员的活跃度分数。After the above step S210 acquires the health insurance node behavior data of the health insurance audit team members, calculate the activity score of the health insurance audit team members based on the health insurance node behavior data.
步骤S214，判断活跃度分数是否低于预设阈值。Step S214, judging whether the activity score is lower than a preset threshold.
上述步骤S212获取所述健康险审核组成员的所述活跃度分数后，判断所述活跃度分数是否低于所述健康险的活跃度分数预设阈值，若低于所述活跃度分数预设阈值，执行步骤S216，若不低于所述活跃度分数预设阈值，执行步骤S218。After the above step S212 obtains the activity score of the members of the health insurance review team, it is judged whether the activity score is lower than the preset threshold value of the activity score of the health insurance, if it is lower than the preset threshold of the activity score Threshold, execute step S216, if not lower than the activity score preset threshold, execute step S218.
步骤S216，对健康险审核组成员进行清退处理。Step S216, remove the members of the health insurance review team.
将所述活跃度分数低于所述活跃度分数预设阈值的健康险审核组成员从所述健康险审核组中进行清退处理，所述清退处理完成后，该成员不再是所述健康险审核组的健康险审核组成员。The members of the health insurance audit team whose activity score is lower than the preset threshold of the activity score are removed from the health insurance audit team. After the removal process is completed, the member is no longer the Member of the health insurance audit team of the health insurance audit team.
步骤S218，判断健康险审核组成员语言发表词库中是否包含不规范词汇。In step S218, it is judged whether the thesaurus published by the members of the health insurance review team contains non-standard words.
预先在所述健康险中录入不规范词汇，在所述健康险审核组成员审核所述健康险案件后获取所述健康险审核组成员的语言发表词库，判断所述健康险审核组成员的所述语言发表词库中出现所述预先录入的不规范词汇的次数是否大于不规范词汇出现次数预设阈值，若大于所述不规范词汇出现次数预设阈值，执行步骤S220；若不大于所述不规范词汇出现次数预设阈值，执行步骤S222。Pre-entering non-standard vocabulary in the health insurance, after the members of the health insurance review team review the health insurance case, obtain the language expression vocabulary of the health insurance review team members, and judge the health insurance review team members Whether the number of occurrences of the pre-entered irregular vocabulary in the language published thesaurus is greater than the preset threshold of the occurrence of the irregular vocabulary, if greater than the preset threshold of the occurrence of the irregular vocabulary, perform step S220; if not greater than the preset threshold of the occurrence of the irregular vocabulary If the preset threshold value of the number of appearances of the above-mentioned irregular words is used, step S222 is executed.
步骤S220，对健康险审核组成员进行清退处理。Step S220, clearing and dismissing members of the health insurance review team.
对所述不规范词汇次数出现次数大于预设阈值的健康险审核组成员从所述健康险审核组中进行清退处理，所述清退处理完成后，该成员不再是所述健康险审核组的健康险审核组成员。The members of the health insurance audit team whose occurrence times of the irregular words are greater than the preset threshold are removed from the health insurance audit team. After the removal process is completed, the member is no longer the member of the health insurance audit team. Member of the health insurance review team of the group.
步骤S222，对健康险审核组成员聚类。Step S222, clustering the members of the health insurance review team.
获取所述健康险审核组成员的健康险案件审核结果数据，所述健康险案件审核结果数据包括所述健康险审核组成员的投票选项，投票结果以及所述健康险案件的最终审核结果，并根据所述审核动作评分和所述互动分数确定所述健康险审核组成员的审核动作评分等级和互动等级，所述审核动作评分高于60分的为审核动作评分高级，所述审核动作评分低于60分高于20分为审核动作评分中级，所述审核动作评分低于20分为审核动作评分低级，所述互动分数同理，高于60分为互动分高级，低于60分高于20分为互动分中级，低于20分为互动分低级，在等级确定完成后，基于所述健康险案件审核结果数据以及所述审核动作评分和互动分数的等级对所述健康险审核组成员进行聚类，将所述审核动作评分为审核动作评分低级、所述互动分数为互动分低级、且所述健康险案件审核结果数据相似的所述健康险审核组成员聚类为异常成员，确定所述健康险审核组中的异常成员名单。Obtaining the health insurance case review result data of the health insurance review team members, the health insurance case review result data including the voting options of the health insurance review team members, the voting results and the final review result of the health insurance case, and According to the audit action score and the interaction score, the audit action score level and interaction level of the health insurance audit team members are determined, the audit action score is higher than 60 points, and the audit action score is high, and the audit action score is low. If the score of 60 points is higher than 20, it is classified as an intermediate review action score, and if the review action score is lower than 20, it is classified as a low review action score. 20 is divided into the middle level of interaction, and less than 20 is divided into the low level of interaction. After the level is determined, the health insurance audit team members will be assessed based on the health insurance case audit result data, the audit action score and the level of interaction score. Perform clustering, cluster the members of the health insurance audit team whose audit action score is low-level audit action score, whose interaction score is low-level interaction, and whose audit result data of the health insurance case is similar, as abnormal members, and determine The list of abnormal members in the health insurance review team.
步骤S224，判断健康险审核组成员是否为异常成员。Step S224, judging whether the members of the health insurance review team are abnormal members.
上述步骤S222确定所述健康险审核组中的异常成员名单后，判断所述健康险审核组成员是否为异常成员，若是，执行步骤S226，若否，则表明所述健康险审核组成员不是异常成员，不作处理即可。After the above step S222 determines the list of abnormal members in the health insurance audit team, it is judged whether the members of the health insurance audit team are abnormal members, if yes, execute step S226, if not, it indicates that the members of the health insurance audit team are not abnormal Members, just leave it alone.
步骤S226，对异常成员进行清退处理。In step S226, remove the abnormal members.
对所述异常成员从所述健康险审核组中进行清退处理，所述清退处理完成后，该异常成员不再是所述健康险审核组的健康险审核组成员。The abnormal member is removed from the health insurance review team. After the removal process is completed, the abnormal member is no longer a member of the health insurance review team of the health insurance review team.
本申请实施例提供的一种审核组成员评估装置实施例如下：An embodiment of an evaluation device for audit team members provided in the embodiment of this application is as follows:
参照附图3，其示出了本申请提供的一种审核组成员评估装置实施例的示意图。Referring to accompanying drawing 3, it shows a schematic diagram of an embodiment of an evaluation device for audit team members provided by the present application.
在上述的实施例中，提供了一种审核组成员评估方法，与之相对应的，本申请还提供了一种审核组成员评估装置，下面结合附图3进行说明。In the above embodiments, a method for assessing audit team members is provided. Correspondingly, the present application also provides an audit team member assessment device, which will be described below with reference to FIG. 3 .
由于装置实施例基本相似于方法实施例，所以描述得比较简单，相关的部分请参见上述提供的方法实施例的对应说明即可。下述描述的装置实施例仅仅是示意性的。Since the device embodiment is basically similar to the method embodiment, the description is relatively simple. For relevant parts, please refer to the corresponding description of the method embodiment provided above. The device embodiments described below are illustrative only.
本申请提供一种审核组成员评估装置，包括：This application provides an assessment device for audit team members, including:
获取模块302，被配置为获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；The acquisition module 302 is configured to acquire the audit behavior data of the audit team members in the project during the project operation process for the audit of project cases;
计算模块304，被配置为基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；Calculation module 304, configured to calculate the review action score and interaction score of the review team members for project case review based on the review behavior data;
聚类模块306，被配置为基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；The clustering module 306 is configured to cluster the review team members based on the review action score, the interaction score and the case review result data of the review team members, and obtain abnormal members among the review team members ;
清退模块308，被配置为对所述异常成员在其所属的项目审核组中进行清退处理。The removal module 308 is configured to remove the abnormal member from the project review group to which he belongs.
可选的，所述审核行为数据，包括下述至少一项：Optionally, the review behavior data includes at least one of the following:
审核动作行为数据，审核互动行为数据；Review action behavior data, review interactive behavior data;
其中，所述审核动作行为数据包括下述至少一项：Wherein, the audit action behavior data includes at least one of the following:
所述审核组成员在所述项目案件的审核材料的材料页面停留时长，所述审核组成员在所述项目案件的审核观点的观点页面停留时长；The length of time that the audit team members stay on the material page of the audit materials of the project case, and the length of time that the audit team members stay on the opinion page of the audit viewpoint of the project case;
所述审核互动行为数据包括下述至少一项：The review interaction behavior data includes at least one of the following:
所述审核组成员在审核所述项目案件过程中的投票次数，所述审核组成员在审核所述项目案件过程中的观点发表次数，所述审核组成员在审核所述项目案件过程中的评论发表次数，所述审核组成员在审核所述项目案件过程中的点赞次数。The number of votes of the audit team members in the process of reviewing the project case, the number of opinions expressed by the review team members in the process of reviewing the project case, and the comments of the review team members in the process of reviewing the project case The number of publications, the number of likes received by members of the audit team during the process of reviewing the project case.
可选的，所述审核动作评分，采用如下方式进行计算：Optionally, the review action score is calculated in the following manner:
计算所述项目案件的各个页面的停留时长与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个页面的平均停留时长；calculating the ratio of the length of stay on each page of the project case to the number of times the audit team members are invited to participate in the review of the project case, as the average length of stay on each page;
计算所述平均停留时长与所述项目案件的各个页面权重的乘积，作为所述各个页面对应的第一乘积；Calculate the product of the average stay time and the weight of each page of the project case as the first product corresponding to each page;
将所述项目案件的所述第一乘积求和，作为所述审核动作评分。Summing up the first products of the item cases as the review action score.
可选的，所述互动分数，采用如下方式进行计算：Optionally, the interaction score is calculated in the following manner:
计算所述项目案件审核过程中所述审核组成员各个审核行为的次数与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个审核行为的平均次数；Calculating the ratio of the number of times of each review behavior of the review team members during the review process of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average number of times of each review behavior;
计算所述平均次数与各个审核行为权重的乘积，作为各个审核行为的第二乘积；Calculate the product of the average number of times and the weight of each audit action as the second product of each audit action;
将所述项目案件的所述第二乘积求和，作为所述互动分数。summing the second product of the item cases as the interaction score.
可选的，所述聚类模块306，包括：Optionally, the clustering module 306 includes:
审核结果获取子模块，被配置为获取所述审核组成员的所述案件审核结果数据；The audit result acquisition submodule is configured to acquire the case audit result data of the audit team members;
等级确定子模块，被配置为根据所述审核动作评分和所述互动分数确定所述审核组成员的审核动作评分等级和互动等级；A level determining submodule configured to determine the review action score level and interaction level of the review team members according to the review action score and the interaction score;
聚类子模块，被配置为根据所述案件审核结果数据、所述审核动作评分等级及所述互动等级对所述审核组成员进行聚类；The clustering submodule is configured to cluster the review team members according to the case review result data, the review action scoring level and the interaction level;
名单确定子模块，被配置为根据所述聚类结果确定所述审核组成员中的异常成员名单。The list determining submodule is configured to determine the list of abnormal members among the review team members according to the clustering result.
可选的，所述审核组成员评估装置，还包括：Optionally, the member of the audit team assessing the device also includes:
第一互动分数判断模块，被配置为判断所述互动分数是否低于所述项目的预设互动分数阈值；若是，运行第二清退模块，若否，运行所述聚类模块306；The first interaction score judging module is configured to judge whether the interaction score is lower than the preset interaction score threshold of the item; if yes, run the second clearing module; if not, run the clustering module 306;
所述第二清退模块，被配置为对所述互动分数低于所述预设互动分数阈值的审核组成员在所述项目审核组中进行清退处理。The second removal module is configured to remove members of the review team whose interaction scores are lower than the preset interaction score threshold from the project review team.
可选的，所述审核组成员评估装置，还包括：Optionally, the member of the audit team assessing the device also includes:
审核动作评分判断模块，被配置为判断所述审核动作评分是否低于所述项目的预设审核动作评分阈值；若是，运行第一清退模块，若否，运行所述聚类模块306；The review action score judgment module is configured to judge whether the review action score is lower than the preset review action score threshold of the project; if yes, run the first clearing module, if not, run the clustering module 306;
所述第一清退模块，被配置为对所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理。The first clearing module is configured to clear the audit team members whose audit action scores are lower than the preset audit action score threshold in the project audit team.
可选的，所述审核组成员评估装置，还包括：Optionally, the member of the audit team assessing the device also includes:
分数判断模块，被配置为判断所述互动分数是否低于所述项目的预设互动分数阈值且所述审核动作评分是否低于所述项目的预设审核动作评分阈值；若是，执行互动第一清退模块，若否，执行所述聚类模块306；A score judging module configured to judge whether the interaction score is lower than the preset interaction score threshold of the item and whether the review action score is lower than the preset review action score threshold of the item; Clear the module, if not, execute the clustering module 306;
所述互动第一清退模块，被配置为对所述互动分数低于所述预设互动分数阈值且所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理。The interactive first clearing module is configured to check the review team members whose interaction score is lower than the preset interaction score threshold and whose review action score is lower than the preset review action score threshold in the project Clearing process is carried out in the audit team.
可选的，所述审核组成员评估装置，还包括：Optionally, the member of the audit team assessing the device also includes:
节点数据获取模块，被配置为获取所述审核组成员在所述项目运行过程中的各审核节点的审核节点行为数据；The node data acquisition module is configured to acquire the audit node behavior data of each audit node of the audit team members during the operation of the project;
活跃度分数计算模块，被配置为基于所述审核节点行为数据计算所述审核组成员的活跃度分数；An activity score calculation module configured to calculate the activity scores of the audit team members based on the audit node behavior data;
活跃度判断模块，被配置为判断所述活跃度分数是否低于所述项目的活跃度分数预设阈值；若是，执行活跃度清退模块，若否，执行所述聚类模块306；The activity degree judging module is configured to judge whether the activity degree score is lower than the preset threshold value of the activity degree score of the project; if so, execute the activity degree clearing module, if not, execute the clustering module 306;
所述活跃度清退模块，被配置为对所述活跃度分数低于所述活跃度分数预设阈值的审核组成员在所述项目审核组中进行清退处理；The activity removal module is configured to remove members of the audit team whose activity score is lower than the preset threshold of the activity score in the project audit team;
其中，所述审核节点行为数据包括：Wherein, the audit node behavior data includes:
审核前行为数据，审核中行为数据，审核后行为数据。Behavior data before audit, behavior data during audit, and behavior data after audit.
可选的，所述活跃度分数，采用如下方式进行计算：Optionally, the activity score is calculated in the following manner:
计算所述项目中各个审核节点的预设分值与预设加权数的乘积；作为节点乘积；Calculate the product of the preset score and the preset weight of each review node in the project; as the node product;
将所述项目中各个审核节点的所述节点乘积求和，作为所述活跃度分数。The sum of the node products of each audit node in the project is used as the activity score.
可选的，所述审核组成员评估装置，还包括：Optionally, the member of the audit team assessing the device also includes:
第一词库获取模块，被配置为基于所述审核行为数据获取所述审核组成员的语言发表词库；The first thesaurus acquisition module is configured to acquire the language published thesaurus of the audit team members based on the audit behavior data;
第一语言判断模块，被配置为判断所述语言发表词库中出现预先录入的不规范词汇的次数是否大于预设阈值；若是，执行语言清退模块，若否，执行所述聚类模块306；The first language judging module is configured to judge whether the number of pre-entered irregular vocabulary in the language published thesaurus is greater than a preset threshold; if so, execute the language clearing module, if not, execute the clustering module 306 ;
所述语言清退模块，被配置为则对所述语言发表词库中所述不规范词汇出现次数大于所述预设阈值的审核组成员在所述项目审核组中进行清退处理。The language removal module is configured to remove members of the audit team whose occurrence times of the irregular words in the language publication thesaurus are greater than the preset threshold from the project audit team.
可选的，所述审核组成员评估装置，还包括：Optionally, the member of the audit team assessing the device also includes:
第二词库获取模块，被配置为基于所述审核行为数据获取所述审核组成员的语言发表词库；The second thesaurus acquisition module is configured to acquire the language published thesaurus of the audit team members based on the audit behavior data;
第二语言判断模块，被配置为判断所述语言发表词库中是否包含预先录入的不规范词汇；若是，执行第二互动分数判断模块，若否，执行所述聚类模块306；The second language judging module is configured to judge whether the language published thesaurus contains pre-entered irregular vocabulary; if so, execute the second interaction score judging module, if not, execute the clustering module 306;
所述第二互动分数判断模块，被配置为判断所述互动分数是否低于所述项目的预设互动分数阈值；若是，执行互动语言清退模块，若否，执行所述聚类模块306；The second interaction score judging module is configured to judge whether the interaction score is lower than the preset interaction score threshold of the item; if yes, execute the interactive language clearing module, and if not, execute the clustering module 306;
所述互动语言清退模块，被配置为对所述互动分数低于所述预设互动分数阈值且所述语言发表词库中包含所述不规范词汇的审核组成员在所述项目审核组中进行清退处理。The interactive language removal module is configured to select review team members whose interaction score is lower than the preset interaction score threshold and whose language published thesaurus contains the non-standard vocabulary in the project review team Carry out clearance processing.
本申请提供的一种计算设备实施例如下：An example of a computing device provided by this application is as follows:
图4是示出了根据本说明书一实施例的计算设备400的结构框图。该计算设备400的部件包括但不限于存储器410和处理器420。处理器420与存储器410通过总线430相连接，数据库450用于保存数据。FIG. 4 is a structural block diagram illustrating a computing device 400 according to an embodiment of the present specification. Components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420 . The processor 420 is connected to the memory 410 through the bus 430, and the database 450 is used for storing data.
计算设备400还包括接入设备440，接入设备440使得计算设备400能够经由一个或多个网络460通信。这些网络的示例包括公用交换电话网(PSTN)、局域网(LAN)、广域网(WAN)、个域网(PAN)或诸如因特网的通信网络的组合。接入设备440可以包括有线或无线的任何类型的网络接口(例如，网络接口卡(NIC))中的一个或多个，诸如IEEE802.11无线局域网(WLAN)无线接口、全球微波互联接入(Wi-MAX)接口、以太网接口、通用串行总线(USB)接口、蜂窝网络接口、蓝牙接口、近场通信(NFC)接口，等等。Computing device 400 also includes an access device 440 that enables computing device 400 to communicate via one or more networks 460 . Examples of these networks include the Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or a combination of communication networks such as the Internet. Access device 440 may include one or more of any type of network interface (e.g., a network interface card (NIC)), wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, Worldwide Interoperability for Microwave Access ( Wi-MAX) interface, Ethernet interface, Universal Serial Bus (USB) interface, cellular network interface, Bluetooth interface, Near Field Communication (NFC) interface, etc.
在本说明书的一个实施例中，计算设备400的上述部件以及图4中未示出的其他部件也可以彼此相连接，例如通过总线。应当理解，图4所示的计算设备结构框图仅仅是出于示例的目的，而不是对本说明书范围的限制。本领域技术人员可以根据需要，增添或替换其他部件。In an embodiment of the present specification, the above-mentioned components of the computing device 400 and other components not shown in FIG. 4 may also be connected to each other, for example, through a bus. It should be understood that the structural block diagram of the computing device shown in FIG. 4 is only for the purpose of illustration, rather than limiting the scope of this description. Those skilled in the art can add or replace other components as needed.
计算设备400可以是任何类型的静止或移动计算设备，包括移动计算机或移动计算设备(例如，平板计算机、个人数字助理、膝上型计算机、笔记本计算机、上网本等)、移动电话(例如，智能手机)、可佩戴的计算设备(例如，智能手表、智能眼镜等)或其他类型的移动设备，或者诸如台式计算机或PC的静止计算设备。计算设备400还可以是移动式或静止式的服务器。Computing device 400 may be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile telephones (e.g., smartphones), ), wearable computing devices (eg, smart watches, smart glasses, etc.), or other types of mobile devices, or stationary computing devices such as desktop computers or PCs. Computing device 400 may also be a mobile or stationary server.
本申请提供一种计算设备，包括存储器410、处理器420及存储在存储器上并可在处理器上运行的计算机指令，所述处理器420用于执行如下计算机可执行指令：The present application provides a computing device, including a memory 410, a processor 420 and computer instructions stored in the memory and operable on the processor, the processor 420 is used to execute the following computer-executable instructions:
获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；Obtain the audit behavior data of the audit team members in the project during the project operation process for the audit of project cases;
基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；calculating the review action score and interaction score of the review team members for project case review based on the review behavior data;
基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；clustering the review team members based on the review action scores, the interaction scores, and case review result data of the review team members, to obtain abnormal members among the review team members;
对所述异常成员在其所属的项目审核组中进行清退处理。The abnormal members are removed from the project review team to which they belong.
可选的，所述审核行为数据，包括下述至少一项：Optionally, the review behavior data includes at least one of the following:
审核动作行为数据，审核互动行为数据；Review action behavior data, review interactive behavior data;
其中，所述审核动作行为数据包括下述至少一项：Wherein, the audit action behavior data includes at least one of the following:
所述审核组成员在所述项目案件的审核材料的材料页面停留时长，所述审核组成员在所述项目案件的审核观点的观点页面停留时长；The length of time that the audit team members stay on the material page of the audit materials of the project case, and the length of time that the audit team members stay on the opinion page of the audit viewpoint of the project case;
所述审核互动行为数据包括下述至少一项：The review interaction behavior data includes at least one of the following:
所述审核组成员在审核所述项目案件过程中的投票次数，所述审核组成员在审核所述项目案件过程中的观点发表次数，所述审核组成员在审核所述项目案件过程中的评论发表次数，所述审核组成员在审核所述项目案件过程中的点赞次数。The number of votes of the audit team members in the process of reviewing the project case, the number of opinions expressed by the review team members in the process of reviewing the project case, and the comments of the review team members in the process of reviewing the project case The number of publications, the number of likes received by members of the audit team during the process of reviewing the project case.
可选的，所述审核动作评分，采用如下方式进行计算：Optionally, the review action score is calculated in the following manner:
计算所述项目案件的各个页面的停留时长与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个页面的平均停留时长；calculating the ratio of the length of stay on each page of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average length of stay on each page;
计算所述平均停留时长与所述项目案件的各个页面权重的乘积，作为所述各个页面对应的第一乘积；Calculate the product of the average stay time and the weight of each page of the project case as the first product corresponding to each page;
将所述项目案件的所述第一乘积求和，作为所述审核动作评分。Summing up the first products of the item cases as the review action score.
可选的，所述互动分数，采用如下方式进行计算：Optionally, the interaction score is calculated in the following manner:
计算所述项目案件审核过程中所述审核组成员各个审核行为的次数与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个审核行为的平均次数；Calculating the ratio of the number of times of each review behavior of the review team members during the review process of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average number of times of each review behavior;
计算所述平均次数与各个审核行为权重的乘积，作为各个审核行为的第二乘积；Calculate the product of the average number of times and the weight of each audit action as the second product of each audit action;
将所述项目案件的所述第二乘积求和，作为所述互动分数。summing the second product of the item cases as the interaction score.
可选的，所述基于所述审核动作评分和所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员聚类，获得所述审核组成员中的异常成员，包括：Optionally, clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members, and obtaining the abnormal members among the review team members includes:
获取所述审核组成员的所述案件审核结果数据；Obtaining the case review result data of the review team members;
根据所述审核动作评分和所述互动分数确定所述审核组成员的审核动作评分等级和互动等级；determining the review action score level and interaction level of the review team members according to the review action score and the interaction score;
根据所述案件审核结果数据、所述审核动作评分等级及所述互动等级对所述审核组成员进行聚类；clustering the review team members according to the case review result data, the review action scoring level and the interaction level;
根据所述聚类结果确定所述审核组成员中的异常成员名单。A list of abnormal members among the audit team members is determined according to the clustering result.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述互动分数是否低于所述项目的预设互动分数阈值；judging whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold are removed from the project review team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述互动分数是否低于所述项目的预设互动分数阈值且所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the interaction score is lower than the preset interaction score threshold of the item and whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose interaction score is lower than the preset interaction score threshold and whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
获取所述审核组成员在所述项目运行过程中的各审核节点的审核节点行为数据；Obtain the audit node behavior data of each audit node of the audit team members during the operation of the project;
基于所述审核节点行为数据计算所述审核组成员的活跃度分数；calculating activity scores of the audit team members based on the audit node behavior data;
判断所述活跃度分数是否低于所述项目的活跃度分数预设阈值；judging whether the activity score is lower than the activity score preset threshold of the project;
若是，对所述活跃度分数低于所述活跃度分数预设阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose activity score is lower than the preset threshold of the activity score are removed from the project review team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤；If not, performing the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members;
其中，所述审核节点行为数据包括：Wherein, the audit node behavior data includes:
审核前行为数据，审核中行为数据，审核后行为数据。Behavior data before audit, behavior data during audit, and behavior data after audit.
可选的，所述活跃度分数，采用如下方式进行计算：Optionally, the activity score is calculated in the following manner:
计算所述项目中各个审核节点的预设分值与预设加权数的乘积；作为节点乘积；Calculate the product of the preset score and the preset weight of each review node in the project; as the node product;
将所述项目中各个审核节点的所述节点乘积求和，作为所述活跃度分数。The sum of the node products of each audit node in the project is used as the activity score.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中出现预先录入的不规范词汇的次数是否大于预设阈值；Judging whether the number of pre-entered non-standard words appearing in the language published thesaurus is greater than a preset threshold;
若是，则对所述语言发表词库中所述不规范词汇出现次数大于所述预设阈值的审核组成员在所述项目审核组中进行清退处理；If so, the members of the audit team whose occurrence times of the non-standard vocabulary in the language published thesaurus are greater than the preset threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中是否包含预先录入的不规范词汇；Judging whether the language published thesaurus contains pre-entered non-standard vocabulary;
若是，判断所述互动分数是否低于所述项目的预设互动分数阈值；If yes, determine whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述语言发表词库中包含所述不规范词汇的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold and whose language publication thesaurus contains the non-standard vocabulary are removed from the project review team;
若所述互动分数不低于所述项目的预设互动分数阈值，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If the interaction score is not lower than the preset interaction score threshold of the item, perform the review on the review team members based on the review action score, the interaction score and the case review result data of the review team members. Clustering, the step of obtaining abnormal members among the members of the review group.
本申请提供的一种计算机可读存储介质实施例如下：An embodiment of a computer-readable storage medium provided by this application is as follows:
本申请实施例还提供一种计算机可读存储介质，其存储有计算机指令，该指令被处理器执行时以用于：The embodiment of the present application also provides a computer-readable storage medium, which stores computer instructions, and when the instructions are executed by a processor, they are used for:
获取项目中的审核组成员在所述项目运行过程中的针对项目案件审核的审核行为数据；Obtain the audit behavior data of the audit team members in the project during the project operation process for the audit of project cases;
基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数；calculating the review action score and interaction score of the review team members for project case review based on the review behavior data;
基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员；clustering the review team members based on the review action scores, the interaction scores, and case review result data of the review team members, to obtain abnormal members among the review team members;
对所述异常成员在其所属的项目审核组中进行清退处理。The abnormal members are removed from the project review team to which they belong.
可选的，所述审核行为数据，包括下述至少一项：Optionally, the review behavior data includes at least one of the following:
审核动作行为数据，审核互动行为数据；Review action behavior data, review interactive behavior data;
其中，所述审核动作行为数据包括下述至少一项：Wherein, the audit action behavior data includes at least one of the following:
所述审核组成员在所述项目案件的审核材料的材料页面停留时长，所述审核组成员在所述项目案件的审核观点的观点页面停留时长；The length of time that the audit team members stay on the material page of the audit materials of the project case, and the length of time that the audit team members stay on the opinion page of the audit viewpoint of the project case;
所述审核互动行为数据包括下述至少一项：The review interaction behavior data includes at least one of the following:
所述审核组成员在审核所述项目案件过程中的投票次数，所述审核组成员在审核所述项目案件过程中的观点发表次数，所述审核组成员在审核所述项目案件过程中的评论发表次数，所述审核组成员在审核所述项目案件过程中的点赞次数。The number of votes of the audit team members in the process of reviewing the project case, the number of opinions expressed by the review team members in the process of reviewing the project case, and the comments of the review team members in the process of reviewing the project case The number of publications, the number of likes received by members of the audit team during the process of reviewing the project case.
可选的，所述审核动作评分，采用如下方式进行计算：Optionally, the review action score is calculated in the following manner:
计算所述项目案件的各个页面的停留时长与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个页面的平均停留时长；calculating the ratio of the length of stay on each page of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average length of stay on each page;
计算所述平均停留时长与所述项目案件的各个页面权重的乘积，作为所述各个页面对应的第一乘积；Calculate the product of the average stay time and the weight of each page of the project case as the first product corresponding to each page;
将所述项目案件的所述第一乘积求和，作为所述审核动作评分。Summing up the first products of the item cases as the review action score.
可选的，所述互动分数，采用如下方式进行计算：Optionally, the interaction score is calculated in the following manner:
计算所述项目案件审核过程中所述审核组成员各个审核行为的次数与所述审核组成员被邀请参与审核所述项目案件的被邀请次数的比值，作为所述各个审核行为的平均次数；Calculating the ratio of the number of times of each review behavior of the review team members during the review process of the project case to the number of times the review team members are invited to participate in the review of the project case, as the average number of times of each review behavior;
计算所述平均次数与各个审核行为权重的乘积，作为各个审核行为的第二乘积；Calculate the product of the average number of times and the weight of each audit action as the second product of each audit action;
将所述项目案件的所述第二乘积求和，作为所述互动分数。summing the second product of the item cases as the interaction score.
可选的，所述基于所述审核动作评分和所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员聚类，获得所述审核组成员中的异常成员，包括：Optionally, clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members, and obtaining the abnormal members among the review team members includes:
获取所述审核组成员的所述案件审核结果数据；Obtaining the case review result data of the review team members;
根据所述审核动作评分和所述互动分数确定所述审核组成员的审核动作评分等级和互动等级；determining the review action score level and interaction level of the review team members according to the review action score and the interaction score;
根据所述案件审核结果数据、所述审核动作评分等级及所述互动等级对所述审核组成员进行聚类；clustering the review team members according to the case review result data, the review action scoring level and the interaction level;
根据所述聚类结果确定所述审核组成员中的异常成员名单。A list of abnormal members among the audit team members is determined according to the clustering result.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述互动分数是否低于所述项目的预设互动分数阈值；judging whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold are removed from the project review team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
判断所述互动分数是否低于所述项目的预设互动分数阈值且所述审核动作评分是否低于所述项目的预设审核动作评分阈值；judging whether the interaction score is lower than the preset interaction score threshold of the item and whether the audit action score is lower than the preset audit action score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述审核动作评分低于所述预设审核动作评分阈值的审核组成员在所述项目审核组中进行清退处理；If yes, the audit team members whose interaction score is lower than the preset interaction score threshold and whose audit action score is lower than the preset audit action score threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
获取所述审核组成员在所述项目运行过程中的各审核节点的审核节点行为数据；Obtain the audit node behavior data of each audit node of the audit team members during the operation of the project;
基于所述审核节点行为数据计算所述审核组成员的活跃度分数；calculating activity scores of the audit team members based on the audit node behavior data;
判断所述活跃度分数是否低于所述项目的活跃度分数预设阈值；judging whether the activity score is lower than the activity score preset threshold of the project;
若是，对所述活跃度分数低于所述活跃度分数预设阈值的审核组成员在所述项目审核组中进行清退处理；If so, remove the review team members whose activity score is lower than the preset threshold of the activity score from the project review team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤；If not, performing the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members;
其中，所述审核节点行为数据包括：Wherein, the audit node behavior data includes:
审核前行为数据，审核中行为数据，审核后行为数据。Behavior data before audit, behavior data during audit, and behavior data after audit.
可选的，所述活跃度分数，采用如下方式进行计算：Optionally, the activity score is calculated in the following manner:
计算所述项目中各个审核节点的预设分值与预设加权数的乘积；作为节点乘积；Calculate the product of the preset score and the preset weight of each review node in the project; as the node product;
将所述项目中各个审核节点的所述节点乘积求和，作为所述活跃度分数。The sum of the node products of each audit node in the project is used as the activity score.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中出现预先录入的不规范词汇的次数是否大于预设阈值；Judging whether the number of pre-entered non-standard words appearing in the language published thesaurus is greater than a preset threshold;
若是，则对所述语言发表词库中所述不规范词汇出现次数大于所述预设阈值的审核组成员在所述项目审核组中进行清退处理；If so, the members of the audit team whose occurrence times of the non-standard vocabulary in the language published thesaurus are greater than the preset threshold are removed from the project audit team;
若否，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If not, perform the step of clustering the review team members based on the review action score, the interaction score and the case review result data of the review team members to obtain abnormal members among the review team members.
可选的，所述基于所述审核行为数据计算所述审核组成员针对项目案件审核的审核动作评分和互动分数步骤执行之后，所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤执行之前，包括：Optionally, after the step of calculating the audit action scores and interaction scores of the audit team members for project case audit based on the audit behavior data is performed, the audit action scores, the interaction scores, and the audit The case audit result data of the team members clusters the audit team members, and obtains the abnormal members among the audit team members. Before execution, the steps include:
基于所述审核行为数据获取所述审核组成员的语言发表词库；Obtaining the language published thesaurus of the audit team members based on the audit behavior data;
判断所述语言发表词库中是否包含预先录入的不规范词汇；Judging whether the language published thesaurus contains pre-entered non-standard vocabulary;
若是，判断所述互动分数是否低于所述项目的预设互动分数阈值；If yes, determine whether the interaction score is lower than a preset interaction score threshold of the item;
若是，对所述互动分数低于所述预设互动分数阈值且所述语言发表词库中包含所述不规范词汇的审核组成员在所述项目审核组中进行清退处理；If yes, the review team members whose interaction score is lower than the preset interaction score threshold and whose language publication thesaurus contains the non-standard vocabulary are removed from the project review team;
若所述互动分数不低于所述项目的预设互动分数阈值，执行所述基于所述审核动作评分、所述互动分数及所述审核组成员的案件审核结果数据对所述审核组成员进行聚类，获得所述审核组成员中的异常成员步骤。If the interaction score is not lower than the preset interaction score threshold of the item, perform the review on the review team members based on the review action score, the interaction score and the case review result data of the review team members. Clustering, the step of obtaining abnormal members among the members of the review group.
上述为本实施例的一种计算机可读存储介质的示意性方案。需要说明的是，该存储介质的技术方案与上述的审核组成员评估方法的技术方案属于同一构思，存储介质的技术方案未详细描述的细节内容，均可以参见上述审核组成员评估方法的技术方案的描述。The foregoing is a schematic solution of a computer-readable storage medium in this embodiment. It should be noted that the technical solution of the storage medium is of the same concept as the technical solution of the above-mentioned assessment method for members of the audit team, and details not described in detail in the technical solution of the storage medium can be found in the technical solution of the above-mentioned assessment method for members of the audit team description of.
所述计算机指令包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括电载波信号和电信信号。The computer instructions include computer program code, which may be in source code form, object code form, executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory) , Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, computer-readable media Excludes electrical carrier signals and telecommunication signals.
需要说明的是，对于前述的各方法实施例，为了简便描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其它顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定都是本申请所必须的。It should be noted that, for the sake of simplicity of description, the aforementioned method embodiments are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其它实施例的相关描述。In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.
以上公开的本申请优选实施例只是用于帮助阐述本申请。可选实施例并没有详尽叙述所有的细节，也不限制该发明仅为所述的具体实施方式。显然，根据本说明书的内容，可作很多的修改和变化。本说明书选取并具体描述这些实施例，是为了更好地解释本申请的原理和实际应用，从而使所属技术领域技术人员能很好地理解和利用本申请。本申请仅受权利要求书及其全部范围和等效物的限制。The preferred embodiments of the present application disclosed above are only used to help clarify the present application. Alternative embodiments are not exhaustive in all detail, nor are the inventions limited to specific implementations described. Obviously, many modifications and variations can be made based on the contents of this specification. This description selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and use the present application. This application is to be limited only by the claims, along with their full scope and equivalents.
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| CN201910286652.9ACN110189092B (en) | 2019-04-10 | 2019-04-10 | Evaluation methods and devices for audit team members |
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| CN202310694538.6APendingCN116720829A (en) | 2019-04-10 | 2019-04-10 | Method and device for evaluating audit group members |
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