Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present specification. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present description.
It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this specification. In some other embodiments, the method may include more or fewer steps than described in this specification. Furthermore, individual steps described in this specification, in other embodiments, may be described as being split into multiple steps; while various steps described in this specification may be combined into a single step in other embodiments. It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information, without departing from the scope of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" depending on the context.
User information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in this specification are both information and data authorized by the user or sufficiently authorized by the parties, and the collection, use and processing of relevant data requires compliance with relevant laws and regulations and standards of the relevant country and region, and is provided with corresponding operation portals for the user to choose authorization or denial.
Fig. 1 is a schematic architecture diagram of a business trip service management system based on dialogue questions and answers according to an exemplary embodiment. As shown in fig. 1, the system may include a server 11, a network 12, a number of electronic devices 13 (e.g., PCs (Personal Computer, personal computers), servers), and so on.
The server 11 may be an object that requires travel service management, the server 11 may be a physical server comprising a separate host, or the server 11 may be a virtual server carried by a cluster of hosts.
In the technical solution of one or more embodiments of the present disclosure, a program for implementing a related function of travel service management, for example, an application program on a service side of a travel service management method, may be deployed on the server 11, and in a process that the application program may run, the application program may interact with a client below, so as to parse a problem posed from the client, and take service management information queried according to a parsing result as an answer of the problem, so as to feed back the service management information to the corresponding client.
In the technical solution of one or more embodiments of the present disclosure, a program for implementing a related function of travel service management may be deployed on the electronic device 13, so that the electronic device 13 may interact with the server 11, for example, an application program on a client side implementing a method for travel service management, which may perform man-machine interaction with a user, receive a question input by the user, and feedback an answer to the user after receiving the answer fed back by the server. The interaction of the electronic device 13 with the server 11 may depend in particular on the data transmission between the electronic device 13 and the server 11, which may be implemented through the network 12, which network 12 may comprise various types of wired or wireless networks, which is not limited in this description.
It should be noted that: an application of a client of travel service management may be pre-installed on the electronic device 13 so that the client can be started and run on the electronic device; of course, when an online "client" such as HTML5 technology is employed, the client can be obtained and run without installing a corresponding application on the electronic device.
In addition, in the technical solution of one or more embodiments of the present disclosure, the client may also bear the original function of the server, that is, after the problem input by the user is acquired, the operation of parsing and querying the answer may be directly performed locally at the client without using the server, so as to reduce the processing problem of the server and the time cost caused in the process of executing the data transmission.
Fig. 2 is a flow chart of a method for managing travel services based on dialogue questions and answers according to an exemplary embodiment of the present disclosure, the method specifically includes the following steps:
Step S202, a dialogue question input by a user of a target enterprise through a client of a travel service is acquired.
For the user of the target enterprise, if any travel service needs to be managed, a question can be directly initiated by a client of the travel service in a dialogue form, for example: "how to open an airline ticket booking service? "what is the condition of the train ticket change? "," what is the bookable time range of the hotel? "how do you examine and approve business car applications submitted by employees? "and the like. The dialogue question input by the user may be configured based on natural language content, that is, the intuition of the normal user in question is satisfied, the immersion of the user when using the client is improved, and of course, the input mode of the dialogue question may be implemented based on a technology such as text input, voice recognition or image recognition, which is not limited in this specification.
The business trip service is a management solution provided by a business trip service platform for enterprise users, and aims to uniformly and accurately manage different business trip activities in a specific business trip scene. The travel service platform is a To B (To Business) type travel service platform. The travel service platform may provide not only various single services such as travel ticket (e.g., air ticket, train ticket, ship ticket, bus ticket, etc.), hotel reservation, dining, subway, insurance, visa, MICE (meeting (Meetings), rewards travel (INCENTIVES), exhibitions (Conventions), and abbreviations for Events), but also comprehensive travel products that include multiple single services at the same time, and various travel peripheral services such as travel attack query/customization, travel blog publishing/review, member system management, etc., which are not limited in one or more embodiments of the present specification. When the business travel service platform is in an opposite business scene, the business can use the business travel service platform to solve business travel management problems in the business, such as reservation of business staff for various business travel products such as accommodation and traffic, payment of business for business travel products, reimbursement of business for payment cost, other steps or processes related to business travel and the like, which are not described in detail herein.
And step S204, carrying out semantic analysis on natural language content contained in the dialogue question, and determining question intention information of the enterprise user according to analysis results.
As described above, the dialogue question may be constructed based on natural language contents, so that the natural language contents contained in the dialogue question may be semantically parsed, so that the business trip service management system may further analyze and process the dialogue question. The above-mentioned semantic parsing operation may be implemented by any semantic parsing scheme in the related art, which is not limited in this specification. For example, a Language Model (LM) of a preset deployment may be employed; the language model may specifically be a large language model (Large Language Model, LLM). As another example, other natural language processing (Natural Language Processing, NLP) techniques may be employed. And are not listed here.
The analysis result obtained by the semantic analysis can determine the question intention information of the enterprise user, for example, the dialogue question input by the user is: "what do me want to check out a hotel for others? The "resolution thereof may be, for example," request guidance how to book a hotel for others ". Wherein, the analysis result can be matched with a predefined semantic keyword; further, the question intention information including the hit target semantic keywords is determined, and still taking the analysis result "how to order hotels for other people as an example, assume that the predefined semantic keywords include: the target semantic keywords hit by the analysis result can be "hotel" and "booking", and the question intention information corresponding to the target semantic keywords can be determined to include the target semantic keywords, and of course, the question intention information can record the target semantic keywords according to different user requirements or different data structures such as text, charts, arrays and the like according to different application scenes, and the method is not limited in the specification.
Step S206, inquiring service management information matched with the questioning intention information from the data corresponding to the target enterprise maintained by the travel service.
After the questioning intention information is determined, service management information matched with the questioning intention information can be queried from the data of the target enterprise. Among these, the data of the so-called target enterprise may contain the following two types of data:
The first type of data is management guiding data, the management guiding data corresponds to service functions provided by the travel service to the target enterprise, meanwhile, the management guiding data can be used for guiding a user to manage corresponding service functions, specifically, the management guiding data can comprise function introduction information, function configuration information and function entry information of the service functions, wherein the function introduction information can be used for introducing functions which can be realized by the corresponding travel service so as to ensure that the user can quickly know and grasp the purpose of the travel service; the function configuration information can be used for introducing the using steps of the travel service so that a user can accurately manage the corresponding travel service; the function entry information can be presented in the form of, for example, hyperlinks or other interactive components, according to which the user can quickly enter the management interface of the corresponding travel service, and at the same time, travel service management is performed in cooperation with the function configuration information.
According to the corresponding relation between the predefined semantic keywords and the service functions, the target service functions corresponding to the target semantic keywords can be determined, and the management guide data corresponding to the target service functions are used as the service management information. Of course, different service functions may correspond to semantic keywords that overlap, and at this time, the service function with the highest overlapping rate may be selected as the target service function, or the first several service functions are collectively used as the target service function according to the positive overlapping rate sequence, which is not limited by the number of displays and the display forms of the target service functions by those skilled in the art.
As shown in fig. 3, the figure describes a service management information flow of querying from the management guidance data according to the target semantic keyword, and the steps include:
Step S302, a dialogue page of the client of the travel service is entered.
Step S304, a dialogue question input by a user is acquired.
In one embodiment, the user of the target enterprise may enter the corresponding dialogue page through the client of the travel service and input the dialogue question for the user to answer. It is assumed that, as shown in fig. 4, the user inputs "how to open the ticket booking service" as a dialogue question through the text input field 41, and the dialogue question 421 is finally presented in the travel service question-answer interface 42 after being determined.
And step S306, carrying out semantic analysis on the dialogue question, and matching the analysis result with a predefined semantic keyword.
In one embodiment, the server of the travel service may receive the dialogue question and perform semantic analysis on the dialogue question to obtain a parsing result of "open ticket booking service". Assuming that the predefined semantic keywords are "train ticket", "air ticket", "reservation" and "instead of" at this time, it may be determined that "air ticket" and "reservation" are the target semantic keywords of the analysis result by, for example, similarity matching, that is, matching is successful, and step S310 may be continuously performed; assuming that the predefined semantic keywords are only "train ticket", "hotel", "change sign" and "order instead", it may be determined that the target semantic keywords do not exist in the parsing result, and step S308 may be performed.
Step S308, replying to prompt information to instruct the user to reenter the dialogue question.
In one embodiment, the server may reply to the client, for example, "I do not understand what you say," troublesome to re-ask a bar-! "to instruct the user to reenter the dialogue question.
Step S310, determining a target service function corresponding to the target semantic keyword according to the corresponding relation between the predefined semantic keyword and the service function.
In an embodiment, it is assumed that two service functions of "train ticket substituted booking" and "air ticket booking" are maintained in the service end, the former has a corresponding relation with the semantic keywords "train ticket" and "substituted booking", and the latter has a corresponding relation with the semantic keywords "air ticket" and "booking", so that the service function corresponding to the target semantic keyword can be determined to be "air ticket booking" through the target semantic keyword.
In step S312, the management guidance data corresponding to the target service function is used as service management information.
In one embodiment, assume that the management guidance data corresponding to the service function provided by the "ticket booking" of the travel service to the target enterprise includes both function configuration information (corresponding to "you can log in to the travel platform enterprise management background in reply message 422 of fig. 4, and under the travel service setting-open booking service menu, the booking service of the national and international/harbor australian platform tickets is opened.
The second type of data is service data, which is data generated when a travel service provides a service function to a target enterprise. It will be appreciated by those skilled in the art that the dimensions, numbers and meanings corresponding to the service data of different service functions are often different, such as, for example, ticket information, reservation order information and/or travel budget deduction records generated when a user reserves a ticket through a service function of "ticket reservation", and, for example, hotel information, reservation reasons, reservation order information and/or travel budget increase records generated when a user reserves a ticket through a service function of "hotel reservation".
The service data can be screened according to the first type of keywords which are contained in the target semantic keywords and are related to the data screening range, and the service management information can be obtained according to the screened service data. The above data filtering range may cover a specific time point or a time period related to the service data, and a specific category related to the service data, for example: departments, cost centers, individuals, projects, travel destinations, travel departure places, travel categories, such as air tickets, hotels, train tickets, buses; suppliers such as airline ticket airlines, car carriers, hotel brands/groups; booking preferences, such as air ticket cabins and the like, train ticket seats, train car types, hotel stars; price types, such as agreement prices, business prices; travel scenes, such as overtime, business trip, indoor; advance reservation time, travel discount, travel reservation preference: air ticket cabins and the like, train ticket seats, train car types and hotel stars; payment type: such as corporate payments, personal payments. The first type of keywords may be one or more, and for the case of a plurality of first type of keywords, the data filtering range is an intersection of data filtering ranges corresponding to the plurality of first type of keywords.
It should be noted that, unless the user actively sets the first type of keywords, the first type of keywords should default to the necessary items, because the service data related to the enterprise level is complex and various, if the data filtering range is not limited by the first type of keywords, the information amount of the obtained service management information will be too tedious, and thus the business trip service management efficiency of the user will be negatively affected. Correspondingly, the specification can provide a method for ensuring that the target semantic keywords contain the first type of keywords, namely, under the condition that the first type of keywords are missing, prompt information can be replied through the client of the travel service to instruct the user to supplement.
Further, in the specification, the service management information screened out by the first type of keywords can be subjected to differentiation processing, so that the user can analyze the service data based on different angles.
In an embodiment, the service data selected may be used as the service management information. In this embodiment, the service data that is screened out is provided directly to the user without any processing, so that the user can perform specific analysis of the underlying data based on the acquired service data.
In another embodiment, the data statistics may be performed on the service data that is screened according to a second category of keywords that is included in the target semantic keywords and is used for describing a service data statistics manner, where the service management information includes result display data corresponding to the statistics result. The service data statistics manner at least comprises: summarizing, averaging, trend and ranking algorithms, wherein different service data statistical modes have different display modes, for example, statistical results corresponding to the summarizing algorithm and the averaging algorithm can be displayed based on text modes; the statistical result corresponding to the average algorithm can be displayed based on the graph pattern; the statistical results corresponding to the ranking algorithm may be presented based on a table style. In this embodiment, the service management information received by the user has actually been subjected to data statistics in advance, so that it is possible to intuitively determine the statistical result of the service data within the data filtering range after processing based on the corresponding service data statistical method. In addition, the result display data can also provide a downloading service for users to download to local or other devices for secondary processing.
As described above, different statistics correspond to respective presentation styles, but this correspondence is not fixed, but should be changed in combination with the user's need for the actual presentation effect of the service data. In the present specification, the statistical result may be generated according to a third type of keyword included in the target semantic keyword and used for describing the service data display style, in other words, the user may specify the display style of the statistical result by inputting the third type of keyword. Of course, if the third type of keywords are not input, the default display style corresponding to the service data statistics mode can be used to generate the corresponding result display data.
As shown in fig. 5, the figure describes a service management information flow of a query from the service data according to a target semantic keyword, and the steps include:
step S502, a dialogue page of a client of the travel service is entered.
Step S504, a dialogue question input by a user is acquired.
In one embodiment, the user of the target enterprise may enter the corresponding dialogue page through the client of the travel service and input the dialogue question for the user to answer. It is assumed that, as shown in fig. 6 (a), the user inputs "what is the amount of the travel expense for 1 month in 2024" as a dialogue question through the text input field 61, and the dialogue question 621 is finally presented in the travel service question-answering interface 42 after the determination.
Step S506, based on one or more rounds of dialogue, semantic analysis is performed on the dialogue question, and the analysis result is matched with the predefined semantic keywords.
In an embodiment, the server of the business trip service may receive the dialogue question based on one or more rounds of dialogue with the user, and perform semantic analysis on the dialogue question, taking the case of "please ask 2024 for 1 month of year business trip amount", and assuming that the obtained analysis result is "2024 for 1 month of year business trip amount", and the predefined semantic keywords are the first keywords related to the data screening range, then the step S310 may be further executed according to the semantic description in the analysis result, where "2024 for 1 month" and "business trip amount" are both the first keywords in the target semantic keywords; assuming that the first type of keyword is matched in the parsing result, step S308 may be performed.
In step S508, a prompt message is replied to instruct the user to continue inputting the dialogue question.
In an embodiment, the server may reply to the client with, for example, "what travel data in what time you want to know? "to instruct the user to continue to input the corresponding dialogue question in the next dialogue to supplement the first kind of keywords.
Step S510, screening the service data according to the first kind of keywords.
In one embodiment, it is assumed that the service end maintains service data generated by all service functions, including the travel cost and the travel subsidy, from "month 2023 to month 2024" and the first category keyword has already defined the travel cost of the data filtering range 2024 and thus the travel cost of the month can be obtained as the filtered service data according to the first category keyword.
And S512, carrying out data statistics on the screened service data according to the second type of keywords.
In an embodiment, the target semantic keyword does not include a second type of keyword describing a service data statistics manner, and assuming that the default data statistics manner is summary, the travel cost amount of each day in the 1 st of 2024 may be summed up, and the calculation result is taken as a statistics result.
Step S514, according to the third category of keywords, result display data corresponding to the statistical result are generated.
In an embodiment, the third type of keyword describing the service data display style is not included in the target semantic keyword, and if the default service data display style based on the statistical manner implemented by the summarization algorithm is text display, the result display data 622 of, for example, part (a) of fig. 6 may be determined. Similarly, if the statistical approach described above is implemented based on a ranking algorithm, then the result presentation data 622 may be, for example, a table style of part (b) of fig. 6. Of course, although the part (c) of fig. 6 is also implemented based on the summarization algorithm, the difference from the part (a) of fig. 6 is that the first keyword of the part (c) includes a plurality of categories including "air ticket", "hotel", "car" and "train ticket", so that statistics can be performed on service data of different types, and the corresponding service data display style can be modified into a table style.
In addition, the specification designs a data security mechanism based on identity rights for the process of querying the data of the target enterprise.
In one embodiment, the management authority level of the user for the travel service may be determined according to the identity information of the user, and service management information matched with the questioning intention information may be queried from data corresponding to the target enterprise and matched with the management authority level maintained by the travel service. Assuming that the management authority level of the user a for the travel service is an advanced general manager and the management authority level of the user B for the travel service is a common employee, the former can query the management guidance data or query the service data as service management information, and the latter can query only part of the management guidance data as service management information. The scope of the service management information matched with each management authority level can be set in a self-defined manner according to the job arrangement of a specific enterprise, and the scope is not limited in the specification.
And step S208, the queried service management information is fed back to the user through the client of the travel service.
The service management information obtained by inquiry can be in the form of dialogue answers corresponding to dialogue questions, and is fed back to the user through the client of the business trip service, so that the user can quickly obtain the answers of the dialogue questions in the same interface (corresponding to the business trip service question answer interface 42 in fig. 4), and further the business trip service management effect is greatly improved.
In addition, in addition to the service management information, the recommended questions related to the dialogue questions input by the user can be returned to the user through the client of the business trip service, and the recommended questions can be determined based on the historical dialogue data, so that the input effect of the user in a scene where the dialogue questions are required to be continuously input is improved, and the dialogue question and answer experience of the user is improved. The history dialogue data may be history dialogue data of the individual user or all history dialogue data of a specific user group, and the association method of the recommendation questions may be determined based on a machine learning model or based on statistical analysis of dialogue data of a database, which is not limited in this specification.
Fig. 7 is a schematic block diagram of an electronic device according to an exemplary embodiment. Referring to fig. 7, at the hardware level, the device includes a processor 702, an internal bus 704, a network interface 706, a memory 708, and a non-volatile storage 710, although other hardware required for other functions may be included. One or more embodiments of the present description may be implemented in a software-based manner, such as by the processor 702 reading a corresponding computer program from the non-volatile storage 710 into the memory 708 and then running. Of course, in addition to software implementation, one or more embodiments of the present disclosure do not exclude other implementation manners, such as a logic device or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but may also be hardware or a logic device. Corresponding to the embodiment of the business trip service management method based on dialogue question and answer, the present specification also provides an embodiment of a business trip service management device based on dialogue question and answer.
Referring to fig. 8, the business trip service management method device based on dialogue question and answer can be applied to the device shown in fig. 8 to implement the technical solution of the present specification. The business trip service management method device based on dialogue questions and answers can comprise the following steps:
a dialogue question obtaining unit 81 for obtaining a dialogue question inputted by a user of the target enterprise through a client of the travel service.
And the semantic analysis unit 82 is used for carrying out semantic analysis on the natural language content contained in the dialogue question and determining the question intention information of the enterprise user according to the analysis result.
And a service management information inquiry unit 83 configured to inquire service management information matching the question intention information from data corresponding to the target enterprise maintained by the travel service.
And a service management information feedback unit 84, configured to feed back the queried service management information to the user through the client of the travel service.
Optionally, the semantic parsing unit 82 is specifically configured to:
Matching the analysis result with a predefined semantic keyword;
wherein the question intention information contains hit target semantic keywords.
Optionally, the data corresponding to the target enterprise maintained by the travel service includes: management guide data corresponding to service functions provided by the travel service to the target enterprise, wherein the management guide data is used for guiding a user to manage the corresponding service functions; the service management information query unit 83 is specifically configured to:
According to the corresponding relation between the predefined semantic keywords and the service functions, determining the target service functions corresponding to the target semantic keywords, and taking management guide data corresponding to the target service functions as the service management information.
Optionally, the data corresponding to the target enterprise maintained by the travel service includes: the travel service provides service data generated by service functions to the target enterprise; the apparatus further comprises:
the data screening unit is used for screening the service data according to the first type of keywords which are contained in the target semantic keywords and are related to the data screening range;
and the service management information acquisition unit is used for acquiring the service management information according to the screened service data.
Optionally, the service management information obtaining unit is specifically configured to:
taking the screened service data as the service management information; or alternatively
And carrying out data statistics on the screened service data according to a second class of keywords which are contained in the target semantic keywords and are used for describing a service data statistics mode, wherein the service management information comprises result display data corresponding to the statistical result.
Optionally, the apparatus further includes:
the result display data generation unit is used for generating result display data corresponding to the statistical result according to a third type of keywords which are contained in the target semantic keywords and are used for describing the service data display style.
Optionally, the apparatus further includes:
and the keyword supplementing prompting unit is used for replying prompting information through the client of the travel service under the condition that the first type of keywords are missing so as to instruct the user to supplement.
Optionally, the service management information query unit 83 is specifically configured to:
determining the management authority level of the user to the travel service according to the identity information of the user;
service management information matching the questioning intention information is queried from data corresponding to the target enterprise and matching the management authority level maintained by the travel service.
Optionally, the apparatus further includes:
and the recommendation question returning unit is used for returning a recommendation question associated with the dialogue question to the user through the client of the travel service, wherein the recommendation question is determined based on the historical dialogue data.
The implementation process of the functions and roles of each unit in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present description. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Furthermore, the present specification provides a computer program product comprising a computer program/instruction which, when executed by a processor, performs the implementation of the corresponding steps in the method as described above.
The present specification also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs a process such as the implementation of corresponding steps in the above-described method.
Embodiments of the subject matter and the functional operations described in this specification can be implemented in: digital electronic circuitry, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and structural equivalents thereof, or a combination of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by, or to control the operation of, data processing apparatus. Alternatively or additionally, the program instructions may be encoded on a manually-generated propagated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode and transmit information to suitable receiver apparatus for execution by data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.
The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit).
Computers suitable for executing computer programs include, for example, general purpose and/or special purpose microprocessors, or any other type of processing unit. Typically, the processing unit will receive instructions and data from a read-only memory and/or a random access memory. The essential elements of a computer include a processing unit for executing or carrying out instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks, etc. However, a computer does not have to have such a device. Furthermore, the computer may be embedded in another device, such as a mobile phone, a Personal Digital Assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, or a portable storage device such as a Universal Serial Bus (USB) flash drive, to name a few.
Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices including, for example, semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disk or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
While this specification contains many specific implementation details, these should not be construed as limitations on the scope of any invention or of what may be claimed, but rather as descriptions of features of specific embodiments of particular inventions. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. On the other hand, the various features described in the individual embodiments may also be implemented separately in the various embodiments or in any suitable subcombination. Furthermore, although features may be acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.
Similarly, although operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous. Moreover, the separation of various system modules and components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
Thus, particular embodiments of the subject matter have been described. Furthermore, the processes depicted in the accompanying drawings are not necessarily required to be in the particular order shown, or sequential order, to achieve desirable results. In some implementations, multitasking and parallel processing may be advantageous.
The foregoing description of the preferred embodiments is provided for the purpose of illustration only, and is not intended to limit the scope of the disclosure, since any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the disclosure are intended to be included within the scope of the disclosure.