CN117473172B - Information processing method, device, equipment and storage medium based on user operation - Google Patents
Information processing method, device, equipment and storage medium based on user operation Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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- G06F16/90—Details of database functions independent of the retrieved data types
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The application relates to an information processing method, device, equipment and storage medium based on user operation, which are used for obtaining user operation corresponding to a target page, generating page operation events corresponding to the user operation according to page operation identifiers corresponding to the user operation and page identifiers of the target page, so that data analysis can be performed according to the page operation events to obtain user operation behavior analysis results, further, the operation behavior habit of a user can be determined according to the user operation behavior analysis results, the problem that in the prior art, the accuracy is low due to the fact that only data such as PV and UV are adopted for user behavior analysis is solved, and the accuracy of user operation behavior statistical analysis is improved.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an information processing method, apparatus, device, and storage medium based on user operation.
Background
With the rapid development of computer technology, the internet is becoming more and more popular, so that network users are continuously increased, more and more network application parties analyze through collecting user operation behavior data, and the operation behavior habit of the network users is determined, so that personalized content is customized for the users based on the user operation behavior habit, and user experience is improved. For example, network users often have individual preferences or habits when using the functionality of an application. In order to improve the experience of using the application program by the user, operators of various application programs generally collect the operation behaviors of the application program used by the user, so that personalized pushing is performed for the user according to the operation behavior habits, and various requirements of the user are met.
At present, collection of user operation behaviors is usually performed by using Page View (PV) and independent Visitor number (UV), but the above two collected data can only represent the overall record of the user, and precise operation behaviors such as sequence, specific operation and the like of the user operation behaviors cannot be determined, so that precise statistical analysis of the user operation behaviors cannot be performed.
Disclosure of Invention
In order to solve the technical problems, the application provides an information processing method, device, equipment and storage medium based on user operation.
In a first aspect, the present application provides an information processing method based on user operation, including:
acquiring user operation corresponding to a target page;
generating a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page;
and carrying out data analysis according to the page operation event to obtain a user operation behavior analysis result.
Optionally, generating the page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page includes:
determining operation attribute information of the user operation;
generating the page operation identifier by adopting the operation attribute information;
and generating the page operation event by combining the page operation identifier based on the page operation identifier.
Optionally, the determining operation attribute information of the user operation includes:
acquiring operation time corresponding to the user operation;
determining the operation type of the user operation;
and determining the operation time and the operation type as the operation attribute information.
Optionally, performing data analysis according to the page operation event to obtain a user operation behavior analysis result, including:
determining a target tracking identifier based on a service request corresponding to the user operation;
and based on the target tracking identification, carrying out operation behavior analysis by adopting event data corresponding to the page operation event to obtain an analysis result of the user operation behavior.
Optionally, based on the target tracking identifier, performing operation behavior analysis by using event data corresponding to the page operation event to obtain the analysis result of the user operation behavior, where the analysis result includes:
determining the page operation identifier associated with the target tracking identifier as a target page operation identifier;
determining a first operation event from the page operation event containing the target page operation identifier;
extracting the page identifier in the first operation event, and determining the page identifier as a target page identifier;
determining the page operation event corresponding to the same target page identifier as a second operation event;
extracting user operation behavior data from event data of the second operation event;
and analyzing by adopting the user operation behavior data to generate the analysis result of the user operation behavior.
Optionally, the event data includes an operation time corresponding to the user operation behavior data, and the analyzing using the user operation behavior data generates the analysis result of the user operation behavior, including:
based on the operation time, sequencing the user operation behavior data to obtain a user operation sequence corresponding to the second operation event;
and carrying out user operation behavior analysis based on the user operation sequence to obtain the user operation behavior analysis result.
In a second aspect, the present application provides an information processing apparatus based on a user operation, including:
the acquisition module is used for acquiring user operation corresponding to the target page;
the generation module is used for generating a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page;
and the analysis module is used for carrying out data analysis according to the page operation event to obtain an analysis result of the user operation behavior.
Optionally, the generating module includes:
a first determination unit configured to determine operation attribute information of the user operation;
the first generation unit is used for generating the page operation identifier by adopting the operation attribute information;
and the second generation unit is used for generating the page operation event by combining the page operation identifier based on the page operation identifier.
In a third aspect, an electronic device is provided, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
and a processor configured to implement the information processing method according to any one of the first aspect based on the user operation when executing the program stored in the memory.
In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the user operation-based information processing method according to any one of the first aspects.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the method and the device for analyzing the user operation, the user operation corresponding to the target page is obtained, the page operation event corresponding to the user operation is generated according to the page operation identification corresponding to the user operation and the page identification of the target page, so that data analysis can be performed according to the page operation event, a user operation behavior analysis result is obtained, and further, the operation behavior habit of the user can be determined according to the user operation behavior analysis result, the problem that in the prior art, the accuracy is low due to the fact that only data such as PV and UV are adopted for user behavior analysis is solved, and the accuracy of statistical analysis of the user operation behavior is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic flow chart of an information processing method based on user operation according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.
Fig. 1 is a flow chart of an information processing method based on user operation according to an embodiment of the present application.
As shown in fig. 1, an embodiment of the present disclosure provides an information processing method based on user operation, which may include the following steps:
step S110: and obtaining user operation corresponding to the target page.
Specifically, in this embodiment, the target page represents a page operated by the user, where the page may be a browsing interface of a browser, or may be a display interface of an application program; the user operation indicates an operation input by the user in the target page, such as a click operation, a slide operation, an input operation, and the like.
Step S120: generating a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page.
Specifically, after the user operation is obtained, a page identifier corresponding to the target page and a page operation identifier corresponding to the user operation can be generated according to the user operation, wherein the page operation identifier represents a global unique identifier of the user operation, and the page identifier represents a global unique identifier of the target page; at this time, the page operation identifier and the page identifier are combined to generate a page operation event corresponding to the user operation, where the page operation event is used to represent specific data of the user operation, and may include the page operation identifier, the page identifier and event data corresponding to the user operation, where the event data may be data such as a click position, a sliding distance, and input information.
In specific implementation, corresponding page identifiers can be configured for each page in advance, for example, the page identifier of the page A is the identifier A, the page identifier of the page B is the identifier B, and corresponding page operation identifiers are configured for various user operations, for example, the page operation identifier corresponding to the user click operation is the click identifier, and the page identifier corresponding to the user sliding operation is the sliding identifier. Under the condition that a user inputs sliding operation in the B interface, the page operation identifier can be determined to be the sliding identifier according to the sliding operation of the user, and the page identifier is the B identifier, so that a page operation event can be generated according to the sliding identifier and the B identifier, event data contained in the page operation event can be a sliding distance x and a sliding time h, the page operation identifier, the page identifier and the event data corresponding to the user operation are associated, and the user operation can be accurately analyzed conveniently.
Step S130: and carrying out data analysis according to the page operation event to obtain a user operation behavior analysis result.
Specifically, after generating the page operation event, data analysis can be performed on the page operation event to obtain a user operation behavior analysis result, wherein the user operation behavior analysis result represents an analysis result corresponding to user operation, such as a user habit clicking position, a commodity type mainly focused on, and the like; in the process of data analysis according to page operation events, a plurality of page operation events can be acquired according to requirements for unified analysis, for example, under the condition of analyzing behavior habits of an A user, page operation events corresponding to the A user can be acquired to obtain an A user page operation event set, so that the data analysis is performed on the A user page operation event set to obtain an A user operation behavior analysis result; and analyzing the user behavior habit in the target interface in the A1-A2 time period, and collecting the page operation events generated in the A1-A2 time period to obtain a time period page operation event set, so as to perform data analysis on the time period page operation event set to obtain a time period user operation behavior analysis result.
In some optional embodiments of the present application, step S120 may specifically include the following steps of: determining operation attribute information of user operation; generating a page operation identifier by adopting operation attribute information; based on the page operation identification, generating a page operation event in combination with the page identification.
In this embodiment, after the user operation is obtained, operation attribute information of the user operation may be determined, where the operation attribute information indicates one or more attribute information corresponding to the user operation, and the attribute information may be operation time, operation type, operation interface, operation object, etc., for example, the user clicks the X key in the a interface at 19 points 25 minutes, and at this time, the operation attribute information of the user operation may include that the operation time is 19 points 25 minutes, the operation type is click type, the operation interface is the a interface, the operation object is the X key, etc. And the page operation identifier is generated by adopting the operation attribute information, and the operation type can be extracted from the operation attribute information because the operation type can be contained in the operation attribute information, so that the page operation identifier is generated according to the operation identifier corresponding to the operation type. After the page operation identifier is generated, a page operation event can be generated by combining the page operation identifier, wherein the specific way of generating the page operation event can be to acquire event data corresponding to user operation, such as clicking position, sliding distance, input information and the like, and combine the event data, the page operation identifier and the page identifier data as the page operation event.
In one example, the user operation is that the user A clicks an X key in the interface A at 19 points 25 minutes, the operation type of the user operation can be determined to be the click type, the operation time is 19 points 25 minutes, and the user information is user A information, and the page operation identifier can be obtained by combining the click type, the 19 points 25 minutes and the user A information, so that the page operation identifier can be used as a global unique identifier for indicating that the user operation A clicks the X key in the interface A at 19 points 25 minutes; and further generating the page operation event from the data set of the page operation identifier, the page identifier A and the event data click X key.
In some optional embodiments of the present application, determining operation attribute information of a user operation may specifically include the following sub-steps: acquiring operation time corresponding to user operation; determining the operation type of user operation; the operation time and the operation type are determined as operation attribute information.
In this embodiment, in the process of determining the operation attribute information, the operation time corresponding to the user operation may be obtained, where the operation time represents the time when the user operates, for example, when the user clicks the X key in the a interface at 19 points 25 points, the time sent by the user operation may be determined to be 19 points 25 points, and at this time, the 19 points 25 points may be determined to be the operation time corresponding to the user operation; and determining an operation type of the user operation, wherein the operation type represents a preset type corresponding to the user operation, and if the preset type comprises a click type, a sliding type, an input type and the like, the click type can be determined as the operation type under the condition that the user operation clicks an X key; thus, the operation time and the operation type are determined as operation attribute information, that is, the information set of the operation time and the operation type can be determined as operation attribute information.
In some optional embodiments of the present application, step S130 performs data analysis according to the page operation event to obtain a user operation behavior analysis result, and may specifically include the following sub-steps: determining a target tracking identifier based on a service request corresponding to user operation; and based on the target tracking identification, carrying out operation behavior analysis by adopting event data corresponding to the page operation event to obtain a user operation behavior analysis result.
In this embodiment, the user operation generally generates a service request, where the service request indicates a request generated based on the user operation, for example, when the user operation inputs data in a form and clicks a submit button, a data submit request is generated, and then the data submit request may be used as a service request corresponding to the user operation; in the process of data analysis according to the page operation event, a target tracking identifier can be determined based on the service request corresponding to the user operation, wherein the target tracking identifier represents a globally unique identifier of the service request corresponding to the user operation, and each service request can be accurately tracked through the target tracking identifier; the page operation event is used for representing specific data of user operation and can comprise a page operation identifier, a page identifier and event data corresponding to the user operation, at the moment, the page operation event corresponding to the service request represented by the target tracking identifier can be determined, operation behavior analysis is carried out by adopting the event data corresponding to the page operation event to obtain a user operation behavior analysis result, the target tracking identifier is used for indicating the service request corresponding to the user operation, namely, in the analysis process, the service request can be determined by the target tracking identifier, and the page operation event corresponding to the service request is determined, so that the event data is extracted from the page operation event, and operation behavior analysis is carried out by the event data to obtain the user operation behavior analysis result; for example, the service request identified by the target tracking identifier is a submitted data request A, a page operation event X corresponding to the submitted data request A is determined, and event data is extracted from the page operation event X, so that the operation behaviors of a user can be analyzed by utilizing the event data to obtain an analysis result of the operation behaviors of the user, and therefore, the user operation behaviors are analyzed by adopting accurate event data, and the analysis accuracy is improved.
In some optional embodiments of the present application, based on the target tracking identifier, performing operation behavior analysis by using event data corresponding to a page operation event to obtain a user operation behavior analysis result, which may specifically include the following sub-steps: the page operation identification associated with the target tracking identification is determined to be the target page operation identification; determining a first operation event from the page operation event containing the target page operation identifier; extracting a page identifier in a first operation event, and determining the page identifier as a target page identifier; determining a page operation event corresponding to the same target page identifier as a second operation event; extracting user operation behavior data from event data of a second operation event; and analyzing by adopting the user operation behavior data to generate a user operation behavior analysis result.
In this embodiment, in the process of generating a service request based on a user operation, not only a page operation identifier corresponding to the user operation is generated according to the user operation, but also a target tracking identifier corresponding to the service request is generated at the same time, and an association is established between the page operation identifier and the target tracking identifier, that is, the user operation and the service request are associated; in the process of carrying out operation behavior analysis by adopting event data corresponding to page operation events based on the target tracking identification, the page operation identification associated with the target tracking identification can be determined according to the target tracking identification, and the page operation identification is determined to be the target page operation identification; because the page operation event comprises the page operation identifier and the page identifier, the page operation event comprising the target page operation identifier can be determined, the page operation event generating the service request is determined, and the first operation event is determined; the page identification in the first operation event is extracted and is determined to be a target page identification, and the target page identification is the identification of the target page for generating the service request because the page identification is the global unique identification of the target page, so that the target page identification is the identification of the target page for generating the service request, and the target page for generating the service request is determined; determining page operation events corresponding to the same target page identifier as second operation events, wherein the second operation events represent a set of page operation events of the target page generating the service request; at this time, the user operation behavior data may be extracted from the event data of the second operation event, and since the second operation event may include one or more page operation events of the target page and the event data in each page operation event may include one or more user operation behavior data, at this time, the user operation behavior data may be specific click position, input information, operation time, and other data, at this time, the user operation behavior data is extracted from the event data of each page operation event in the second operation event, for example, the second operation event includes an a page operation event and a B page operation event, the user operation behavior data included in the event data of the a page operation event is input text and input time, and the user operation behavior data included in the event data of the B page operation event is click submission and submission time, at this time, the user operation behavior data that may be extracted includes input text, input time, click submission and submission time, and further, user operation behavior data that accurately represents user behavior may be analyzed, so as to generate a user operation behavior analysis result, and improve analysis accuracy.
In some optional embodiments of the present application, the analysis is performed using the user operation behavior data to generate a user operation behavior analysis result, which specifically may include the following steps: based on the operation time, sequencing the user operation behavior data to obtain a user operation sequence corresponding to the second operation event; and carrying out user operation behavior analysis based on the user operation sequence to obtain a user operation behavior analysis result.
In this embodiment, the event data may include user operation behavior data and operation time corresponding to the user operation behavior data, for example, the user operation behavior data is that the user clicks the X key, and the operation time corresponding to the user operation behavior data is 19 points and 25 minutes. In the process of analyzing by using the user operation behavior data and generating the user operation behavior analysis result, since the second operation event may include one or more page operation events of the target page, and each page operation event includes user operation behavior data and operation time, the user operation behavior data may be ordered based on the operation time at this time to obtain a user operation sequence corresponding to the second operation event, for example, the second operation event includes an a page operation event, a B page operation event and a C page operation event, the user operation behavior data included in the event data of the a page operation event is click submission and operation time 19 minutes, the user operation behavior data included in the event data of the B page operation event is input text and operation time 19 minutes, and the user operation behavior data included in the event data of the C page operation event clicks input field and operation time 19 minutes, then the time sequence of the operation time may be according to the time sequence of the operation time: 19:20, 19:19, 19:25; sequencing the user operation behavior data to obtain a user operation sequence corresponding to the second operation event, wherein the user operation sequence is click input field, input text and click submission; and then, user operation behavior analysis can be performed based on the user operation sequence to obtain the user operation behavior analysis result, and the user operation sequence can be used for representing user operation performed according to the time sequence, so that user operation behavior analysis can be performed accurately and efficiently, and further, the user operation behavior analysis result with high accuracy is obtained.
In one example, the page operation event may include: page open event pageview, page close event WebPageLeave, and page click event weblick. The page opening event page is used for opening a page, namely sending an event; the webpage closing event WebPageLeave is used for closing a webpage, namely sending an event, recording the duration of stay on the webpage, and if the duration exceeds 30 minutes, considering that the user leaves the webpage when the webpage is not operated, so as to generate the webpage closing event WebPageLeave; the page click event weblick is used for initiating an event when a clicked page element, such as clicking on a mobile phone input box, a button and a picture of a user, generates a corresponding page click event weblick.
For example, in the case where the page identifier is recorded as pageId, the page operation identifier is recorded as page operation identifier span id, and the target tracking identifier is recorded as target tracking identifier traceId, the same page identifier pageId may represent an operation within one page, including opening the page, inputting text, clicking a button, closing the page, and standing the page. And all events of the generation of the page: the page open event pageview, the page close event WebPageLeave, and the page click event weblick all carry the page identifier pageId, which represents the event generated by the page. Therefore, the problem of inaccurate statistics of the residence time length in the cross-time zone is solved; all page clicking events weblick can carry page operation identifiers, namely each behavior action has a page operation identifier span id, and because the page operation identifiers span id are time-ordered, the user operation order can be known based on the page operation identifiers span id, and the events of opening the page and the events of closing the page can be associated, so that the problem of time sequence of user operation is solved. Under the condition that the user operation event has a corresponding back-end service request, tracking can be performed according to the target tracking identifier traceId, namely, each back-end service request carries the target tracking identifier traceId, so that the target tracking identifier traceId can be sent to the server side; if the server side needs to access an APM system like Skywalking, the target tracking identifier traceId may be given to the APM system, so that the APM system may send each request to the APM system in series based on the target tracking identifier traceId, for example, the user operation, the page event and the back-end service request may be associated through the target tracking identifier traceId, thereby forming a complete link for user behavior and service processing.
Wherein the page identifier pageId, the page operation identifier span id may be generated using a specific algorithm. For example, the target tracking identifier traceId may be a globally unique id algorithm such as snowflake algorithm, UUID, GUID, or the like. In an alternative embodiment, a fixed byte number (bytes) string may be generated by an algorithm to be used as the page operation identifier span id or the page identifier pageId, for example, in the case that the page operation identifier span id and the page identifier pageIds are both strings, the contents of the page operation identifier span id and the page identifier pageIds may be fixed to 16bytes, and may be specifically divided into two parts: the first part, adopting 64 bits, namely 8bytes, as events and action sequence self-increment, wherein the highest 1 bit is a fixed value of 0, because the generated id is a positive integer, if 1 is a negative number, the next 41 bits can store millisecond-level timestamps, 69 years, namely 2≡41/(1000 x 60 x 24 x 365) =69, 69 years, and the next 22 bits can store sequence numbers, and the same millisecond-level timestamps can be distinguished by the incremental sequence numbers, namely for the same machine, one page can generate 2≡22= 4194304 nonrepeated ids, namely one page can record 400 w+action records; a second part: browser id can be recorded, the browser id is 64 bits, each browser has a unique identification, and 1.8e+19 browsers of 2-64 browsers can be recorded.
In one specific application scenario:
in the case where the user opens a page, the system may generate a page identification pageId and send a page open event pageview with the page identification pageId attached to the page open event pageview. And in the page, all operations of the user, such as inputting, clicking and the like, generate a corresponding page operation identifier span, send a page clicking event weblick, and attach a corresponding page identifier pageId and a page operation identifier span to the page clicking event weblick. Therefore, under the condition that the user operation event has a corresponding back-end service request, tracking can be performed according to the target tracking identifier traceId, namely, each back-end service request carries the target tracking identifier traceId, so that the target tracking identifier traceId can be sent to the server side; if the server side needs to access an APM system like Skywalking, the target tracking identifier traceId may be given to the APM system, so that the APM system may send each request to the APM system in series based on the target tracking identifier traceId, for example, the user operation, the page event and the back-end service request may be associated through the target tracking identifier traceId, thereby forming a complete link for user behavior and service processing. In addition, in the case of a user closing a page, the system may send a page close event WebPageLeave, and append a corresponding page identification pageId to the page close event WebPageLeave.
The process specific scenario for the target tracking identification traceId associated page operation identification span Id may be:
when a user inputs data in a form and clicks a submit button, a page click event weblick is triggered and a corresponding page operation identifier span id is generated. At the same time, this operation initiates a request to the backend service, which generates a target tracking identifier traceId. The target tracking identifier traceId is then associated with the page operation identifier span id so that it can be determined which user operation triggered the request. At the same time, the processing result and processing time of the request are also recorded, and the processing result and processing time are also associated with the target tracking identifier traceId. Thus, by identifying the traceId by targeting, user operations, page events, and backend service requests can be correlated to form a complete link of user behavior and service processing. According to the embodiment, by introducing the page identification pageId, the page operation identification span Id and the target tracking identification traceId, all operations and back-end service requests of a user can be tracked more accurately, so that more detailed and more accurate user behavior data are provided, and more effective basis is provided for product optimization.
In addition, page operation event embodiments may refer to tables 1-2 below:
TABLE 1
TABLE 2
The operation attribute information embodiment may refer to the following table 3:
TABLE 3 Table 3
It should be noted that (1) the search_search_keyword search engine keywords may not be obtained due to different search engine policies. (2) Wherein the attribute value of the last_traffic_source_type includes: paid advertisement traffic, natural search traffic, social networking site traffic, referrer traffic, direct traffic. (3) The last paid advertisement related parameter is an event attribute and does not require any configuration, and will exist in all events. This attribute will hold the utm _source that was last valid.
As shown in fig. 2, the present application further discloses an embodiment, which provides an information processing apparatus based on user operation, including:
the obtaining module 210 is configured to obtain a user operation corresponding to the target page;
the generating module 220 is configured to generate a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page;
the analysis module 230 is configured to perform data analysis according to the page operation event, so as to obtain an analysis result of the user operation behavior.
In one embodiment, the generating module 220 includes:
a first determination unit configured to determine operation attribute information of a user operation;
the first generation unit is used for generating a page operation identifier by adopting the operation attribute information;
and the second generation unit is used for generating a page operation event based on the page operation identifier and combining the page identifier.
In an embodiment, the first determining unit may include:
the first acquisition subunit is used for acquiring operation time corresponding to user operation;
a first determination subunit configured to determine an operation type of a user operation;
and a second determination subunit configured to determine the operation time and the operation type as operation attribute information.
In one embodiment, the analysis module 230 includes:
the second determining unit is used for determining a target tracking identifier based on the service request corresponding to the user operation;
the first analysis unit is used for carrying out operation behavior analysis by adopting event data corresponding to the page operation event based on the target tracking identification to obtain a user operation behavior analysis result.
In an embodiment, the first analysis unit may include:
the third determining subunit is used for determining the page operation identifier associated with the target tracking identifier as a target page operation identifier;
a fourth determining subunit, configured to determine a first operation event from the page operation event including the target page operation identifier;
the first extraction subunit is used for extracting the page identifier in the first operation event and determining the page identifier as a target page identifier;
a fifth determining subunit, configured to determine a page operation event corresponding to the same target page identifier as a second operation event;
a second extraction subunit, configured to extract user operation behavior data from event data of a second operation event;
and the analysis subunit is used for analyzing by adopting the user operation behavior data to generate a user operation behavior analysis result.
In an embodiment, the event data includes an operation time corresponding to the user operation behavior data, and the analysis subunit may include:
the sequencing subunit is used for sequencing the user operation behavior data based on the operation time to obtain a user operation sequence corresponding to the second operation event;
and the analysis result subunit is used for carrying out user operation behavior analysis based on the user operation sequence to obtain a user operation behavior analysis result.
The implementation process of the functions and roles of each module 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.
As shown in fig. 3, the embodiment of the present application provides an electronic device, which includes a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 perform communication with each other through the communication bus 340,
a memory 330 for storing a computer program;
in one embodiment of the present application, the processor 310 is configured to implement the information processing method based on the user operation provided in any one of the foregoing method embodiments when executing the program stored in the memory 330.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, the computer program when executed by a processor realizes the information processing method based on user operation provided by any one of the method embodiments, and by acquiring user operation corresponding to a target page and generating page operation events corresponding to the user operation according to page operation identifiers corresponding to the user operation and page identifiers of the target page, data analysis can be performed according to the page operation events, a user operation behavior analysis result is obtained, and further, the operation behavior habit of a user can be determined according to the user operation behavior analysis result, the problem that in the prior art, the accuracy is low due to the fact that only data such as PV and UV are adopted for user behavior analysis is solved, and the accuracy of user operation behavior statistical analysis is improved.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. An information processing method based on user operation, comprising:
acquiring user operation corresponding to a target page;
generating a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page;
carrying out data analysis according to the page operation event to obtain a user operation behavior analysis result;
generating a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page, including:
determining operation attribute information of the user operation;
generating the page operation identifier by adopting the operation attribute information;
generating the page operation event by combining the page identification based on the page operation identification;
the determining operation attribute information of the user operation includes:
acquiring operation time corresponding to the user operation;
determining the operation type of the user operation;
determining the operation time and the operation type as the operation attribute information;
performing data analysis according to the page operation event to obtain a user operation behavior analysis result, including:
determining a target tracking identifier based on a service request corresponding to the user operation;
based on the target tracking identification, carrying out operation behavior analysis by adopting event data corresponding to the page operation event to obtain an analysis result of the user operation behavior;
and performing operation behavior analysis by adopting event data corresponding to the page operation event based on the target tracking identifier to obtain an analysis result of the user operation behavior, wherein the analysis result comprises the following steps:
determining the page operation identifier associated with the target tracking identifier as a target page operation identifier;
determining a first operation event from the page operation event containing the target page operation identifier;
extracting the page identifier in the first operation event, and determining the page identifier as a target page identifier;
determining the page operation event corresponding to the same target page identifier as a second operation event;
extracting user operation behavior data from event data of the second operation event;
and analyzing by adopting the user operation behavior data to generate the analysis result of the user operation behavior.
2. The information processing method according to claim 1, wherein the event data includes an operation time corresponding to the user operation behavior data, the analysis performed using the user operation behavior data, and the generating the user operation behavior analysis result includes:
based on the operation time, sequencing the user operation behavior data to obtain a user operation sequence corresponding to the second operation event;
and carrying out user operation behavior analysis based on the user operation sequence to obtain the user operation behavior analysis result.
3. An information processing apparatus based on a user operation, comprising:
the acquisition module is used for acquiring user operation corresponding to the target page;
the generation module is used for generating a page operation event corresponding to the user operation according to the page operation identifier corresponding to the user operation and the page identifier of the target page;
the analysis module is used for carrying out data analysis according to the page operation event to obtain an analysis result of the user operation behavior;
the generation module comprises:
a first determination unit configured to determine operation attribute information of the user operation;
the first generation unit is used for generating the page operation identifier by adopting the operation attribute information;
the second generation unit is used for generating the page operation event by combining the page operation identifier based on the page operation identifier;
the first determination unit includes:
the first acquisition subunit is used for acquiring the operation time corresponding to the user operation;
a first determining subunit configured to determine an operation type of the user operation;
a second determination subunit configured to determine the operation time and the operation type as the operation attribute information;
the analysis module comprises:
the second determining unit is used for determining a target tracking identifier based on the service request corresponding to the user operation;
the first analysis unit is used for carrying out operation behavior analysis by adopting event data corresponding to the page operation event based on the target tracking identification to obtain an analysis result of the user operation behavior;
the first analysis unit includes:
a third determining subunit, configured to determine the page operation identifier associated with the target tracking identifier as a target page operation identifier;
a fourth determining subunit, configured to determine a first operation event from the page operation event including the target page operation identifier;
the first extraction subunit is used for extracting the page identifier in the first operation event and determining the page identifier as a target page identifier;
a fifth determining subunit, configured to determine the page operation event corresponding to the same target page identifier as a second operation event;
a second extraction subunit, configured to extract user operation behavior data from event data of the second operation event;
and the analysis subunit is used for analyzing by adopting the user operation behavior data and generating the user operation behavior analysis result.
4. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the user operation-based information processing method according to any one of claims 1 to 2 when executing a program stored on a memory.
5. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the user-operation-based information processing method according to any one of claims 1 to 2.
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