CN116012105A - Method and device for analyzing consumer behavior of e-commerce users - Google Patents
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Abstract
Translated fromChinese
Description
Translated fromChinese技术领域technical field
本申请涉及人工智能技术领域，尤其涉及一种电商用户消费行为分析方法及装置。The present application relates to the field of artificial intelligence technology, and in particular to a method and device for analyzing consumer behavior of e-commerce users.
背景技术Background technique
一般来说，电商平台会通过首页推荐或者主动推送等形式，向平台用户推荐感兴趣的零售货物，如果推荐或者推送的内容对用户来说不感兴趣，或是消费意愿不强，造成用户会迅速的离开电商平台网站，或是认为推送的内容对于自己是干扰，使得用户的付费可能性降低，影响到了电商平台的经营效果。为了更好的帮助企业实现智能化营销，需要一种更准确的用户行为分析方法，能够更为精准的向用户推荐零售货物，或是为企业制定营销策略提供参考。Generally speaking, e-commerce platforms will recommend retail goods of interest to platform users through homepage recommendations or active pushes. Leaving the website of the e-commerce platform quickly, or thinking that the content pushed is interference to oneself, which reduces the possibility of payment of users and affects the operating effect of the e-commerce platform. In order to better help enterprises achieve intelligent marketing, a more accurate user behavior analysis method is needed, which can more accurately recommend retail goods to users, or provide reference for enterprises to formulate marketing strategies.
目前，主流的电商用户行为分析方法是电商平台通过一些算法模型，根据用户的零售货物浏览记录、搜索记录或是消费记录，对用户的喜好进行分析，从而智能推荐用户感兴趣的零售货物。At present, the mainstream e-commerce user behavior analysis method is that the e-commerce platform uses some algorithm models to analyze the user's preferences based on the user's retail goods browsing record, search record or consumption record, so as to intelligently recommend retail goods that the user is interested in .
但是算法模型推荐的零售货物时效性较低，分析结果也不够准确，且无法反映用户对零售货物的消费意愿或感兴趣程度。However, the timeliness of the retail goods recommended by the algorithm model is low, and the analysis results are not accurate enough, and cannot reflect the user's willingness or interest in retail goods.
发明内容Contents of the invention
本申请提供一种电商用户消费行为分析方法及装置，用以解决现有电商用户消费行为分析业务中，推荐的零售货物时效性较低，电商用户分组结果也不够准确的问题。This application provides a method and device for analyzing consumption behavior of e-commerce users, which is used to solve the problems in the existing analysis business of consumption behavior of e-commerce users that the timeliness of recommended retail goods is low and the grouping results of e-commerce users are not accurate enough.
一方面，本申请提供一种电商用户消费行为分析方法，包括：On the one hand, the present application provides a method for analyzing consumer behavior of e-commerce users, including:
采集获取电商用户属性信息与所述电商用户线上消费活动过程中的消费数据日志；Collect and obtain the attribute information of the e-commerce user and the consumption data log during the online consumption activities of the e-commerce user;
对所述消费数据日志进行分析，得到所述电商用户的消费行为变化数据标签；Analyzing the consumption data log to obtain the consumption behavior change data label of the e-commerce user;
利用逻辑运算法则，对所述消费行为变化数据标签与所述电商用户属性信息进行连接，建立标签条件集合；Connecting the consumer behavior change data label with the e-commerce user attribute information by using a logic algorithm to establish a label condition set;
根据所述标签条件集合，对所述电商用户分别进行零售货物推荐。According to the set of label conditions, retail goods are recommended to the e-commerce users.
另一方面，本申请提供一种电商用户消费行为分析装置，包括：On the other hand, the present application provides an e-commerce user consumption behavior analysis device, including:
获取模块，用于采集获取电商用户属性信息与所述电商用户线上消费活动过程中的消费数据日志；The acquisition module is used to collect and acquire the e-commerce user attribute information and the consumption data log during the online consumption activities of the e-commerce user;
分析模块，用于对所述消费数据日志进行分析，得到所述电商用户的消费行为变化数据标签；An analysis module, configured to analyze the consumption data log to obtain the consumption behavior change data label of the e-commerce user;
连接模块，用于利用逻辑运算法则，对所述消费行为变化数据标签与所述电商用户属性信息进行连接，建立标签条件集合；The connection module is used to connect the consumption behavior change data label with the e-commerce user attribute information by using a logic operation rule, and establish a label condition set;
推荐模块，用于根据所述标签条件集合，对所述电商用户分别进行零售货物推荐。The recommendation module is configured to recommend retail goods to the e-commerce users according to the tag condition set.
又一方面，本申请提供一种电子设备，包括：处理器，以及与所述处理器通信连接的存储器；In yet another aspect, the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;
所述存储器存储计算机执行指令；the memory stores computer-executable instructions;
所述处理器执行所述存储器存储的计算机执行指令，以实现如前所述的方法。The processor executes the computer-implemented instructions stored in the memory to implement the method as described above.
再一方面，本申请提供一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机执行指令，所述计算机执行指令被处理器执行时用于实现如前所述的电商用户消费行为分析方法。In yet another aspect, the present application provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, they are used to realize the aforementioned e-commerce user Consumer Behavior Analysis Methods.
本申请提供的电商用户消费行为分析方法及装置，在采集获取电商用户属性信息与电商用户线上消费活动过程中的消费数据日志后，对消费数据日志进行分析，得到电商用户的消费行为变化数据标签，并利用逻辑运算法则，对消费行为变化数据标签与电商用户属性信息进行连接，建立标签条件集合，最终根据标签条件集合，对电商用户分别进行零售货物推荐，解决现有技术中电商用户分组结果不精准、零售货物推荐时效性不高的问题。The method and device for analyzing consumption behavior of e-commerce users provided by this application is to analyze the consumption data logs after collecting attribute information of e-commerce users and the consumption data logs in the process of online consumption activities of e-commerce users, and obtain the consumption data of e-commerce users. Consumer behavior change data tags, and use logical algorithms to connect consumer behavior change data tags and e-commerce user attribute information, establish a set of label conditions, and finally recommend retail goods to e-commerce users based on the set of label conditions to solve the current situation There are technical issues such as inaccurate e-commerce user grouping results and low timeliness in retail product recommendations.
附图说明Description of drawings
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本申请的实施例，并与说明书一起用于解释本申请的原理。The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application.
图1为本申请实施例所基于的一种电商用户消费行为分析架构示意图；FIG. 1 is a schematic diagram of an e-commerce user consumption behavior analysis architecture based on the embodiment of the present application;
图2为本申请实施例提供的电商用户消费行为分析方法的流程示意图；FIG. 2 is a schematic flow diagram of a method for analyzing consumption behavior of e-commerce users provided by an embodiment of the present application;
图3为本申请实施例提供的电商用户消费行为分析方法的信令交互示意图；FIG. 3 is a schematic diagram of signaling interaction of an e-commerce user consumption behavior analysis method provided in an embodiment of the present application;
图4为本申请实施例提供的电商用户消费行为分析装置的结构框图；FIG. 4 is a structural block diagram of an e-commerce user consumption behavior analysis device provided in an embodiment of the present application;
图5为本申请实施例提供的电子设备的结构示意图。FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
通过上述附图，已示出本申请明确的实施例，后文中将有更详细的描述。这些附图和文字描述并不是为了通过任何方式限制本申请构思的范围，而是通过参考特定实施例为本领域技术人员说明本申请的概念。By means of the above drawings, specific embodiments of the present application have been shown, which will be described in more detail hereinafter. These drawings and text descriptions are not intended to limit the scope of the concept of the application in any way, but to illustrate the concept of the application for those skilled in the art by referring to specific embodiments.
具体实施方式Detailed ways
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本申请相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本申请的一些方面相一致的装置和方法的例子。Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
需要说明的是，本申请所涉及的用户信息(包括但不限于用户设备信息、用户个人信息等)和数据(包括但不限于用于分析的数据、存储的数据、展示的数据等)，均为经用户授权或者经过各方充分授权的信息和数据，并且相关数据的收集、使用和处理需要遵守相关国家和地区的相关法律法规和标准，并提供有相应的操作入口，供用户选择授权或者拒绝。It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all It is information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose authorization or reject.
一般来说，电商平台会通过首页推荐或者主动推送等形式，向平台用户推荐感兴趣的零售货物，如果推荐或者推送的内容对用户来说不感兴趣，或是消费意愿不强，造成用户会迅速的离开电商平台网站，或是认为推送的内容对于自己是干扰，使得用户的付费可能性降低，影响到了电商平台的经营效果。为了更好的帮助企业实现智能化营销，需要一种更准确的用户行为分析方法，能够更为精准的向用户推荐零售货物，或是为企业制定营销策略提供参考。目前，主流的用户行为分析方法是电商平台通过一些算法模型，根据用户的零售货物浏览记录、搜索记录或是消费记录，对用户的喜好进行分析，从而智能推荐用户感兴趣的零售货物。但是算法模型推荐的零售货物时效性较低，分析结果不够准确，且无法反映用户对零售货物的消费意愿或感兴趣程度。Generally speaking, e-commerce platforms will recommend retail goods of interest to platform users through homepage recommendations or active pushes. Leaving the website of the e-commerce platform quickly, or thinking that the content pushed is interference to oneself, which reduces the possibility of payment of users and affects the operating effect of the e-commerce platform. In order to better help enterprises achieve intelligent marketing, a more accurate user behavior analysis method is needed, which can more accurately recommend retail goods to users, or provide reference for enterprises to formulate marketing strategies. At present, the mainstream user behavior analysis method is that the e-commerce platform uses some algorithm models to analyze the user's preferences based on the user's retail goods browsing records, search records or consumption records, so as to intelligently recommend retail goods that users are interested in. However, the timeliness of the retail goods recommended by the algorithm model is low, the analysis results are not accurate enough, and cannot reflect the user's willingness or interest in retail goods.
图1为本申请实施例所基于的一种电商用户消费行为分析架构示意图，参见图1所示，主要包括：电商平台业务系统101、商务智能系统平台102、商务智能系统数据库103以及用户终端104。其中，电商平台业务系统电商平台业务系统101可在商务智能系统平台102中获取消费行为数据及其相对应的数据标签、在智能系统数据库103中获取消费行为变化数据、在用户终端104中根据电商用户消费行为，生成消费数据日志，并能够将消费数据日志发送至商务智能系统平台102。商务智能系统平台102在对消费数据日志进行分析后，将消费行为变化数据及其相对应的数据标签存储至智能系统数据库103。Fig. 1 is a schematic diagram of an e-commerce user consumption behavior analysis architecture based on the embodiment of the present application, as shown in Fig.
电商平台业务系统电商平台业务系统101是通过互联网进行零售货物、服务的电子交易系统。根据不同的场景及应用类型，电商平台业务系统电商平台业务系统101可分为企业内购、积分商城、社交电商、直播电商、跨境电商等，且通过定制化服务，可以满足各个行业客户、不同业务场景下的业务需要。E-commerce platform business system The e-commerce
商务智能系统平台商务智能系统平台102可以利用现代信息技术收集、管理和分析存储于各种商业信息系统中的数据，使之转换成有用信息，并以可视化的形式加以表现，使企业的各级决策者获得知识和洞察力，促使他们做出对企业更有利的决策。Business intelligence system platform The business
美国数据仓库研究院把商务智能比作“数据炼油厂”，它将商务智能系统平台102的应用过程描述为：数据、信息、知识、计划、行动的过程，因此商务智能系统平台102的架构可以理解为数据源层、数据整合层、数据仓库层、数据分析层以及数据展现层共5个单元层。The American Data Warehouse Research Institute compares business intelligence to a "data refinery", and describes the application process of the business
其中，数据源层代表商务智能系统平台102的数据来源，存储着商务智能系统平台102所需的最原始的数据以及数据之间的关系，保持着历史的真实性。数据整合层是商务智能系统平台102的根本要求，它将来自不同数据源的信息合并为相同的信息结构，消除重复、无效和界外的数据，提取、净化和传递数据到为数据仓库设立的文件中。数据仓库层是商务智能系统平台102的基础，是数据分析的源数据，保存着大量的、面向主题的、集成的数据。数据分析层体现商务智能系统平台102智能的关键，它一般采用OLAP技术和数据挖掘技术对数据进行分析和处理。数据展现层向商务智能系统平台102的收益者提供实际的分析结果，同时保证系统分析结果的可视化，形式有报表、图表、数据表等。Among them, the data source layer represents the data source of the business
智能系统数据库103用于存储电商用户的消费行为变化数据及其相对应的数据标签，为电商平台业务系统101与商务智能系统平台102提供数据支撑。The
可以理解的是，图1中仅给出了手机、台式电脑、笔记本电脑等用户终端104，但在实际应用过程中，用户终端104还可以包括其他设备，具体设备类别与各类别设备的具体个数在此不做限定。It can be understood that only
考虑到在现有技术中，使用算法模型对用户行为数据进行分析后再进行推荐，推荐零售货物的时效性较低，存在推荐时用户已完成对所需零售货物的消费或已经不再需要此零售货物的情况，并且还存在对用户喜好的分析结果不够精准，难以为用户准确推荐零售货物的问题。因此，本申请提供了一种电商用户消费行为分析方法及装置，能够有效提升用户行为分析结果准确度，且能够反映用户对零售货物的消费意愿或感兴趣程度。Considering that in the existing technology, the algorithm model is used to analyze the user behavior data before making recommendations, the timeliness of recommending retail goods is low, and when there is a recommendation, the user has completed the consumption of the required retail goods or no longer needs it. In the case of retail goods, there is also the problem that the analysis results of user preferences are not accurate enough to accurately recommend retail goods for users. Therefore, the present application provides a method and device for analyzing consumption behavior of e-commerce users, which can effectively improve the accuracy of user behavior analysis results, and can reflect the user's willingness or interest in retail goods.
图2为本申请实施例提供的电商用户消费行为分析方法的流程示意图，参见图2所示，本申请实施例提供的电商用户消费行为分析方法，包括：Fig. 2 is a schematic flow diagram of the method for analyzing consumption behavior of e-commerce users provided by the embodiment of the present application. Referring to Fig. 2, the method for analyzing the consumption behavior of e-commerce users provided by the embodiment of the present application includes:
S201、采集获取电商用户属性信息与电商用户线上消费活动过程中的消费数据日志。S201. Acquire attribute information of e-commerce users and consumption data logs during online consumption activities of e-commerce users.
电商用户利用用户终端104进行线上消费活动过程中会产生用户行为数据，并将该用户行为数据的消费数据日志上传至电商平台业务系统101。E-commerce users will generate user behavior data during online consumption activities using the
电商用户利用用户终端104进行线上消费活动过程中需要填写个人基本信息，用于确定下单地址或开通会员等，因此，电商平台业务系统101也可以采集获取到电商用户属性信息。E-commerce users need to fill in basic personal information during online consumption activities using the
消费数据日志可以理解为包含用户消费行为数据、用户消费行为数据标签的文件，能够反映同一标签下用户消费行为数据的变化情况。Consumption data logs can be understood as files containing user consumption behavior data and user consumption behavior data labels, which can reflect changes in user consumption behavior data under the same label.
在采集电商用户参与线上消费活动过程中的消费数据日志前，还可以设置消费数据日志的采集周期。Before collecting consumption data logs of e-commerce users participating in online consumption activities, the collection cycle of consumption data logs can also be set.
一种实现方式中，电商用户进行的线上消费活动为：线上消费产生1个新订单，若原订单数目为9，则在消费数据日志中的数据信息为：订单数目9；订单数目10。In one implementation, the online consumption activities of e-commerce users are: online consumption generates a new order, if the original order number is 9, the data information in the consumption data log is: order number 9; order number 10 .
此方法通过采集获取消费数据日志，能够有效获取到用户消费行为数据的变化情况。This method can effectively obtain changes in user consumption behavior data by collecting consumption data logs.
S202、对消费数据日志进行分析，得到电商用户的消费行为变化数据标签。S202. Analyze the consumption data log to obtain the consumption behavior change data label of the e-commerce user.
商务智能系统服务器102根据预设阈值，确定消费数据日志中同一数据标签的数据变化范围是否大于预设阈值；若大于，确定数据标签为电商用户的消费行为变化数据标签。The business
商务智能系统服务器102在得到电商用户的消费行为变化数据标签时，还可以得到电商用户的消费行为变化数据，并将电商用户的消费行为变化数据和与之相对应的数据标签存储至商务智能系统数据库103中。When the business
除此之外，电商平台业务系统101还能够利用观远数据分析平台，在商务智能系统数据库103中根据消费行为变化数据标签对消费行为变化数据进行查询，得到目标电商用户消费行为变化数据。In addition, the e-commerce
运营人员可选择主动触发查询按钮获取最新的电商用户分组情况，当运营人员点击该按钮后，电商平台业务系统101主动从商务智能系统数据库103中获取最新的电商用户消费行为变化数据，并调用观远数据分析平台为运营人员提供查看数据或导出数据的功能，运营人员因此可以选择查看该电商用户消费行为变化数据或导出该电商用户消费行为变化数据。Operators can choose to actively trigger the query button to obtain the latest e-commerce user grouping information. When the operator clicks the button, the e-commerce
一种实现方式中，以活跃度升降为例，自定义标准为7天产生不消费则有下降趋势，则查询用户7天内是否有订单产生。有，则显示为上升趋势，反之则为下降趋势。近7天消费单数，则查询近7天用户产生的订单数据量等，最终汇总成用户的一条数据。In one way of implementation, taking the rise and fall of activity as an example, the custom standard is that if there is no consumption within 7 days, there will be a downward trend. Then query whether the user has an order within 7 days. If yes, it shows an upward trend, otherwise it shows a downward trend. For the number of consumption orders in the last 7 days, query the order data generated by the user in the last 7 days, etc., and finally summarize it into a piece of data for the user.
另一种实现方式中，在得到电商用户的消费行为变化数据后，把该电商用户的消费行为变化数据保存在商务智能系统数据库103中。In another implementation manner, after the consumption behavior change data of the e-commerce user is obtained, the consumption behavior change data of the e-commerce user is stored in the business
此方法通过预设阈值，能够在众多存在变化的用户消费行为变化数据中，确定出变化范围较大的数据，提升数据的可用性。This method can determine the data with a large range of changes among many changing user consumption behavior change data through the preset threshold, and improve the usability of the data.
S203、利用逻辑运算法则，对消费行为变化数据标签与电商用户属性信息进行连接，建立标签条件集合。S203. Using logical operation rules, connect the consumer behavior change data tags and e-commerce user attribute information to establish a tag condition set.
电商平台业务系统101对消费行为变化数据标签采用或逻辑运算法则进行连接，对电商用户属性信息采用与逻辑运算法进行连接，载将两者采用与逻辑运算法则进行连接，从而得到标签条件集合。The
其中，或逻辑运算法则为：至少有一个条件为真，则结果为真；与逻辑运算法则为：所有条件为真，则结果为真。Among them, the OR logic operation rule is: if at least one condition is true, the result is true; the AND logic operation rule is: all the conditions are true, the result is true.
在电商平台业务系统101建立标签条件集合后，运营人员还可以设置自定义标签，将自定义标签添加至标签条件集合中。After the e-commerce
一种实现方式中，新增第二个条件集，该条件集中增加消费渠道，选择线上消费，品类偏好选择蛋奶类，近期15天内在门店下过单的客户。In one implementation method, a second condition set is added, which focuses on increasing consumption channels, choosing online consumption, choosing egg and milk as the category preference, and customers who have placed orders in stores within the last 15 days.
此方法增加了用于对电商用户消费行为进行分类的标签，使得电商用户分组结果更加精准。This method adds tags used to classify the consumption behavior of e-commerce users, making the grouping results of e-commerce users more accurate.
S204、根据标签条件集合，对电商用户分别进行零售货物推荐。S204. According to the set of tag conditions, recommend retail goods to e-commerce users.
电商平台业务系统101根据标签条件集合，对电商用户进行分组，对不同组电商用户分别设置不同零售货物推荐列表。其中，在进行对电商用户分组时，先根据标签条件集合与电商用户分组索引名称间的映射关系，确定与标签条件集合相对应的电商用户分组索引名称；再利用索引列表，确定与电商用户分组索引名称相对应的电商用户组别。The e-commerce
一种实现方式中，零售货物推荐可采用发送促销短信的形式，也可在商城首页推送用户感兴趣的零售货物，或者常买零售货物等。In one implementation, the recommendation of retail goods can be in the form of sending promotional text messages, or push the retail goods that the user is interested in, or frequently bought retail goods, etc. on the home page of the mall.
此方法通过标签条件集合对电商用户进行分组，针对不同组别的电商用户，个性化定制用户的商城首页推荐列表，最终达到运营人员精准营销的目的。This method groups e-commerce users through a set of label conditions, and customizes the user's recommendation list on the homepage of the mall for different groups of e-commerce users, and finally achieves the goal of precise marketing for operators.
图3为本申请实施例提供的电商用户消费行为分析方法的信令交互示意图，参见图3所示，结合图2，本申请实施例提供的电商用户消费行为分析方法包括如下步骤：FIG. 3 is a schematic diagram of signaling interaction of the method for analyzing consumption behavior of e-commerce users provided by the embodiment of the present application. Referring to FIG. 3 , in combination with FIG. 2 , the method for analyzing the consumption behavior of e-commerce users provided by the embodiment of the present application includes the following steps:
S301、电商用户利用用户终端104进行线上消费活动，生成消费数据日志。S301. The e-commerce user uses the
S302、电商平台业务系统101向用户终端104发送电商用户属性信息与消费数据日志采集请求。S302. The
S303、用户终端104将电商用户属性信息与消费数据日志反馈至电商平台业务系统101。S303 , the
S304、电商平台业务系统101向商务智能系统服务器102发送消费数据日志。S304. The
S305、商务智能系统服务器102对消费数据日志进行分析，得到电商用户的消费行为变化数据及其相对应的数据标签。S305, the business
S306、商务智能系统服务器102将电商用户的消费行为变化数据及其相对应的数据标签发送至商务智能系统数据库103。S306 , the business
S307、商务智能系统数据库103对接收到的电商用户的消费行为变化数据及其相对应的数据标签进行存储。S307. The business
S308、商务智能系统服务器102将电商用户的消费行为变化数据及其相对应的数据标签反馈至电商平台业务系统101。S308, the business
S309、电商平台业务系统101利用逻辑运算法则，对消费行为变化数据标签与电商用户属性信息进行连接，建立标签条件集合。S309. The
利用或逻辑运算法则，对消费行为变化数据标签进行连接，得到数据标签集合；利用与逻辑运算法则，对电商用户属性信息进行连接，得到基本信息集合；利用与逻辑运算法则，对数据标签集合与基本信息集合进行连接，得到标签条件集合。Use the OR logic algorithm to connect the data tags of consumer behavior changes to obtain a data label set; use the AND logic algorithm to connect the e-commerce user attribute information to obtain the basic information set; use the AND logic algorithm to obtain the data label set Connect with the basic information set to get the label condition set.
S310、电商平台业务系统101根据标签条件集合，对电商用户分别进行零售货物推荐。S310. The e-commerce
根据标签条件集合，对电商用户进行分组，对不同组电商用户分别设置不同零售货物推荐列表。According to the set of label conditions, e-commerce users are grouped, and different retail goods recommendation lists are set for different groups of e-commerce users.
其中，对电商用户进行分组，需先根据标签条件集合与电商用户分组索引名称间的映射关系，确定与标签条件集合相对应的电商用户分组索引名称；再利用索引列表，确定与电商用户分组索引名称相对应的电商用户组别。Among them, to group e-commerce users, it is necessary to first determine the e-commerce user group index name corresponding to the label condition set according to the mapping relationship between the label condition set and the e-commerce user group index name; The e-commerce user group corresponding to the merchant user group index name.
图4为本申请实施例提供的电商用户消费行为分析装置的结构框图，为了便于说明，仅示出了与本申请实施例相关的部分。参见图4所示，本申请实施例提供的电商用户消费行为分析装置包括：获取模块401、分析模块402、连接模块403以及推荐模块404。FIG. 4 is a structural block diagram of an e-commerce user consumption behavior analysis device provided by the embodiment of the present application. For convenience of description, only the parts related to the embodiment of the present application are shown. Referring to FIG. 4 , the device for analyzing consumer behavior of e-commerce users provided by the embodiment of the present application includes: an
获取模块401，用于采集获取电商用户属性信息与电商用户线上消费活动过程中的消费数据日志；The
分析模块402，用于对消费数据日志进行分析，得到电商用户的消费行为变化数据标签；The
连接模块403，用于利用逻辑运算法则，对消费行为变化数据标签与电商用户属性信息进行连接，建立标签条件集合；The
推荐模块404，用于根据标签条件集合，对电商用户分别进行零售货物推荐。The
本申请提供的电商用户消费行为分析方法及装置，在采集获取电商用户属性信息与电商用户线上消费活动过程中的消费数据日志后，对消费数据日志进行分析，得到电商用户的消费行为变化数据标签，并利用逻辑运算法则，对消费行为变化数据标签与电商用户属性信息进行连接，建立标签条件集合，最终根据标签条件集合，对电商用户分别进行零售货物推荐，解决现有技术中电商用户分组结果不精准、零售货物推荐时效性不高的问题。The method and device for analyzing consumption behavior of e-commerce users provided by this application is to analyze the consumption data logs after collecting attribute information of e-commerce users and the consumption data logs in the process of online consumption activities of e-commerce users, and obtain the consumption data of e-commerce users. Consumer behavior change data tags, and use logical algorithms to connect consumer behavior change data tags and e-commerce user attribute information, establish a set of label conditions, and finally recommend retail goods to e-commerce users based on the set of label conditions to solve the current situation There are technical issues such as inaccurate e-commerce user grouping results and low timeliness in retail product recommendations.
图5为本申请实施例提供的电子设备的结构示意图，参见图5所示，电子设备包括：存储器501，处理器502以及计算机程序；其中，计算机程序存储在存储器501中，并被配置为由处理器502执行图2、图3、图4和图5的各步骤。处理器502用于实现图4的各模块。FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Referring to FIG. 5, the electronic device includes: a
其中，存储器501和处理器502通过总线503连接。Wherein, the
相关说明可以对应参见图2至图4所对应的实施例中的步骤所对应的相关描述和效果进行理解，此处不做过多赘述。Relevant descriptions can be understood by referring to the relevant descriptions and effects corresponding to the steps in the embodiments corresponding to FIG. 2 to FIG. 4 , and details are not repeated here.
本申请实施例还提供一种计算机可读存储介质，包括计算机代码，当其在计算机上运行时，使得计算机执行如图2至图5所对应的任一实现方式提供的方法。The embodiment of the present application also provides a computer-readable storage medium, including computer code, which, when running on a computer, causes the computer to execute the method provided by any implementation manner corresponding to FIG. 2 to FIG. 5 .
本申请实施例还提供一种计算机程序产品，包括程序代码，当计算机运行计算机程序产品时，该程序代码执行如图2至图5所对应的任一实现方式提供的方法。The embodiment of the present application also provides a computer program product, including program code. When the computer runs the computer program product, the program code executes the method provided by any implementation manner corresponding to FIG. 2 to FIG. 5 .
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本申请的其它实施方案。本申请旨在涵盖本申请的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本申请的一般性原理并包括本申请未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本申请的真正范围和精神由下面的权利要求书指出。Other embodiments of the present application will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the application, these modifications, uses or adaptations follow the general principles of the application and include common knowledge or conventional technical means in the technical field not disclosed in the application . The specification and examples are to be considered exemplary only, with a true scope and spirit of the application indicated by the following claims.
应当理解的是，本申请并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本申请的范围仅由所附的权利要求书来限制。It should be understood that the present application is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
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