CN110727387B

CN110727387B - Method, device and computer storage medium for determining user behavior data

Info

Publication number: CN110727387B
Application number: CN201910978762.1A
Authority: CN
Inventors: 云峰
Original assignee: Guangzhou Baiguoyuan Information Technology Co Ltd
Current assignee: Bigo Technology Pte Ltd
Priority date: 2019-10-15
Filing date: 2019-10-15
Publication date: 2022-11-15
Anticipated expiration: 2039-10-15
Also published as: CN110727387A

Abstract

The application discloses a method and a device for determining user behavior data and a computer storage medium, and belongs to the technical field of information processing. In the application, the user side collects user behavior data based on the page segments. Since the content list can be displayed in the page area indicated by the page segment, even if the displayed content list is changed, the user behavior data of the changed content list is still collected through the page segment. That is, in the embodiment of the present application, regardless of which content list the content list displayed in the page area indicated by the page section is, the user behavior data is collected by the application program of the page section, and the stable reusability is improved compared to collecting the user behavior data by taking the content list as a unit, so that the efficiency of determining the user behavior data is improved.

Description

Method, device and computer storage medium for determining user behavior data

Technical Field

The present application relates to the field of information processing technologies, and in particular, to a method and an apparatus for determining user behavior data, and a computer storage medium.

Background

With the development of internet technology, a content list is generally displayed on a user side, and the content list includes a plurality of list items. When the server needs to update the list items in the content list, in order to enable the positions of the updated list items in the content list to conform to the browsing and clicking habits of the user, the server can determine the positions of the updated list items in the content list according to the user behavior data. The user behavior data is used for indicating browsing click conditions of the user for the content list before updating.

In the related art, each content list displayed on the user side is configured with a plug-in. For any content list, when a user clicks a list item in the content list, the user terminal collects user behavior data through the plug-in of the content list, and the user behavior data comprises the name of the content list to which each list item clicked by the user belongs and the position of the clicked list item in the content list to which the list item belongs. And then, the user side sends the collected user behavior data to the server.

The method for determining the user behavior data is based on the content list, so that the server has low efficiency in determining the user behavior data.

Disclosure of Invention

The embodiment of the application provides a method and a device for determining user behavior data and a computer storage medium, which can improve the efficiency of determining the user behavior data. The technical scheme is as follows:

in a first aspect, a method for determining user behavior data is provided, where the method is applied to a user side, and the method includes:

starting a page fragment of the user side, wherein the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, and the first page area is any one of the one or more page areas;

acquiring user behavior data generated in the process that a user browses the first page area through the page segment, wherein the user behavior data comprises user behavior data generated based on clicking operation of the user and user behavior data generated based on sliding operation of the user;

and sending the user behavior data to a server.

Optionally, a content list identification interface is configured on the page segment, and acquiring user behavior data generated in a process of browsing the first page area by a user through the page segment includes:

when a clicking operation is detected, acquiring a content list identifier through the content list identifier interface, wherein the content list identifier is used for indicating a content list currently displayed in the first page area.

Optionally, a content list visible interface is configured on the page segment, and acquiring user behavior data generated in a process of browsing the first page area by the user through the page segment includes:

and when the clicking operation is detected, acquiring list browsing duration through the content list visible interface, wherein the list browsing duration is used for indicating the duration from the beginning of the currently displayed content list to the current time.

Optionally, a list index interface is configured on the page segment, and the acquiring, by the page segment, user behavior data generated in a process of browsing the first page area by a user includes:

when the clicking operation is detected, acquiring a clicking screen index through the list index interface, wherein the clicking screen index is used for indicating the position of the currently clicked list item in the first page area.

Optionally, when the click operation is detected, the method further includes:

and acquiring a click list index through the list index interface, wherein the click list index is used for indicating the position of the currently clicked list item in the currently displayed content list.

Optionally, when the click operation is detected, the method further includes:

acquiring a maximum list index through the list index interface, wherein the maximum list index refers to a maximum value in the list indexes of list items displayed in the first page area before the current time.

Optionally, a content list identification interface is configured on the page segment, and acquiring user behavior data generated in a process of browsing the first page area by the user through the page segment includes:

and when the clicking operation is detected, acquiring the type of the clicked content through the content list identification interface, wherein the type of the clicked content is used for indicating the type of the list item which is clicked currently.

Optionally, a sliding frequency recording interface is configured on the page segment, and acquiring user behavior data generated in a process of browsing the first page area by the user through the page segment includes:

when a sliding operation for the content list currently displayed in the first page area is detected, acquiring the list sliding times through a sliding time recording interface, wherein the list sliding times refer to the sliding times detected from the display of the content list currently displayed to the current time.

when a sliding operation for a content list currently displayed in the first page area is detected, acquiring a list index of a last row of list items displayed in the first page area through the list index interface, and taking the determined list index as a sliding depth of the current list;

and if the current list sliding depth is greater than the stored list sliding maximum depth, taking the current list sliding depth as the updated list sliding maximum depth, wherein the list sliding maximum depth is used for indicating the maximum list index, and the maximum list index refers to the maximum value in the list indexes of the list items displayed in the page area before the current time.

Optionally, the sending the user behavior data to a server includes:

and sending user behavior data generated based on the current click operation and user behavior data generated based on the sliding operation of the user which is the latest time before the current click operation to a server, wherein the current click operation refers to the click operation which is the latest time away from the current time.

In a second aspect, another method for determining user behavior data is provided, which is applied to a server and can improve the efficiency of determining user behavior data. The method comprises the following steps:

receiving user behavior data collected by a user side, wherein the user behavior data is collected by a page fragment at the user side, the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, the first page area is any one of the one or more page areas, and the user behavior data comprises user behavior data generated based on a click operation of a user and user behavior data generated based on a sliding operation of the user;

generating a data report according to the user behavior data;

and sending the data report to an administrator terminal for prompting the administrator to adjust the list items of the content list displayed in the first page area according to the data report.

Optionally, the data report is used to indicate average user behavior data corresponding to any content list identifier, where the average user behavior data at least includes one or more of average maximum list sliding depth, average sliding times, and average staying time.

Optionally, after the sending the data report to the administrator terminal, the method further includes:

receiving a content list adjustment request, wherein the content list adjustment request carries a content list identifier, a list item to be adjusted and the position of the list item to be adjusted in a content list indicated by the content list identifier;

adjusting each list item in the content list indicated by the content list identification according to the list item to be adjusted and the position of the list item to be adjusted in the content list indicated by the content list identification;

and sending the adjusted content list to the user side so that the user side displays the adjusted content list in the first display area.

Optionally, after the sending the adjusted content list to the user side, the method further includes:

and when the user behavior data collected by the user side through the page segment is received again, continuing to execute the step of generating the data report according to the user behavior data.

In a third aspect, an apparatus for determining user behavior data is provided, where the apparatus is applied to a user side, and the apparatus includes:

the starting module is used for starting a page fragment of the user side, the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in the one or more page areas, and the first page area is any one of the one or more page areas;

the acquisition module is used for acquiring user behavior data generated in the process of browsing the first page area by a user through the page segment, wherein the user behavior data comprises user behavior data generated based on clicking operation of the user and user behavior data generated based on sliding operation of the user;

and the sending module is used for sending the user behavior data to a server.

Optionally, a content list identification interface is configured on the page segment, and the acquisition module is configured to:

Optionally, a content list visible interface is configured on the page segment, and the acquisition module is configured to:

Optionally, a list index interface is configured on the page segment, and the acquisition module is configured to:

when the clicking operation is detected, acquiring a clicking screen index through the list index interface, wherein the clicking screen index is used for indicating the position of a currently clicked list item in the first page area.

Optionally, when the click operation is detected, the acquiring module is configured to:

Optionally, when the click operation is detected, the acquisition module is configured to:

and acquiring a maximum list index through the list index interface, wherein the maximum list index refers to the maximum value in the list indexes of list items displayed in the first page area before the current time.

Optionally, a content list identifier interface is configured on the page segment, and the acquisition module is configured to:

and when the clicking operation is detected, acquiring the type of the clicked content through the content list identification interface, wherein the type of the clicked content is used for indicating the type of the currently clicked list item.

Optionally, a sliding frequency recording interface is configured on the page segment, and the acquisition module is configured to:

when a sliding operation for a content list currently displayed in the first page area is detected, acquiring a list index of a last row of list items displayed in the first page area through the list index interface, and taking the determined list index as a sliding depth of a current list;

Optionally, the sending module is configured to:

In a fourth aspect, an apparatus for determining user behavior data is provided, and applied to a server, the apparatus includes:

a first receiving module, configured to receive user behavior data collected by a user side, where the user behavior data is collected by a page fragment at the user side, the page fragment is an application program and is used to create one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, the first page area is any one of the one or more page areas, and the user behavior data includes user behavior data generated based on a click operation of a user and user behavior data generated based on a slide operation of the user;

the generating module is used for generating a data report according to the user behavior data;

and the first sending module is used for sending the data report to an administrator terminal and prompting the administrator to adjust the list items of the content list displayed in the first page area according to the data report.

Optionally, the data report is configured to indicate average user behavior data corresponding to any content list identifier, where the average user behavior data at least includes one or more of an average maximum list sliding depth, an average sliding frequency, and an average staying time.

Optionally, the apparatus further comprises:

a second receiving module, configured to receive a content list adjustment request, where the content list adjustment request carries a content list identifier, a list item to be adjusted, and a position of the list item to be adjusted in a content list indicated by the content list identifier;

the adjusting module is used for adjusting each list item in the content list indicated by the content list identification according to the list item to be adjusted and the position of the list item to be adjusted in the content list indicated by the content list identification;

and the second sending module is used for sending the adjusted content list to the user side so that the user side can display the adjusted content list.

Optionally, the apparatus further comprises:

and the execution module is used for continuously executing the step of generating the data report according to the user behavior data when the user behavior data collected by the user side is received again.

In a fifth aspect, a user equipment is provided, which includes:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the steps of any one of the methods provided by the first aspect above.

In a sixth aspect, a server is provided, the server comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the steps of any one of the methods provided by the second aspect above.

In a seventh aspect, a system for determining user behavior data is provided, where the system includes an administrator side, a server, and a plurality of user sides;

the user side is configured to implement the steps of any one of the methods described in the first aspect;

the server is configured to implement the steps of any one of the methods described in the second aspect above

In an eighth aspect, a computer-readable storage medium is provided, having instructions stored thereon, which when executed by a processor, implement the steps of any one of the methods provided in the first aspect above.

In a ninth aspect, a computer readable storage medium is provided, having instructions stored thereon, which when executed by a processor, implement the steps of any one of the methods provided in the second aspect above.

A tenth aspect provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of any of the methods of the first aspect described above.

In an eleventh aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of any of the methods of the second aspect described above.

The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:

in the application, the user side collects user behavior data based on the page segments. Since the content list can be displayed in the page area indicated by the page segment, even if the displayed content list is changed, the user behavior data of the changed content list is still collected through the page segment. That is, in the embodiment of the present application, regardless of which content list the content list displayed in the page area indicated by the page section is, the user behavior data is collected by the application program of the page section, and the stable reusability is improved compared to collecting the user behavior data by taking the content list as a unit, so that the efficiency of determining the user behavior data is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a flowchart of a method for determining user behavior data according to an embodiment of the present disclosure;

FIG. 2 is a flow chart of another method for determining user behavior data provided by an embodiment of the present application;

FIG. 3 is a flow chart of another method for determining user behavior data provided by an embodiment of the present application;

FIG. 4 is a flow chart of another method for determining user behavior data provided by an embodiment of the present application;

fig. 5 is a schematic diagram of a content list provided in an embodiment of the present application;

FIG. 6 is a diagram illustrating a screen index and a list index according to an embodiment of the present application;

FIG. 7 is a datagram representation provided by an embodiment of the present application;

FIG. 8 is a diagram illustrating an adjusted content list provided by an embodiment of the present application;

fig. 9 is a schematic structural diagram of an apparatus for determining user behavior data according to an embodiment of the present application;

FIG. 10 is a schematic structural diagram of another apparatus for determining user behavior data according to an embodiment of the present disclosure;

fig. 11 is a schematic structural diagram of a user side according to an embodiment of the present application;

fig. 12 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Before explaining the method for determining user behavior data provided by the embodiment of the present application, an application scenario of the embodiment of the present application is explained first. With the development of internet technology, a content list is usually displayed on a user terminal, the content list comprises a plurality of list items, a user can generate corresponding user behavior data for each content list, the user behavior data comprises click and browsing conditions of the user for the content list, and according to the user behavior data, an administrator can well master the browsing and clicking habits of the user and adjust the list items of the content list, so that the positions of the list items are more in line with the browsing and clicking habits of the user. The method for determining the user behavior data provided by the embodiment of the application can be applied to the above user behavior data acquisition for the content list, and certainly can also be applied to the user behavior data acquisition for other pages, which is not limited to the above.

Fig. 1 is a system for determining user behavior data according to an embodiment of the present application, where the system includes an administrator side 101, a server 102, and multiple user sides 103. The administrator terminal 101 and the server 102 are connected by a wired or wireless connection for communication, and any user terminal 103 and the server 102 are also connected by a wired or wireless connection for communication.

For any user terminal 103 of the multiple user terminals 103, when the user terminal 103 performs a browse click operation on a content list in a page area, the user terminal 103 sends a browse click condition of a user for the content list to the server 102, where the browse click condition may also be referred to as user behavior data, the server 102 generates a data report according to the received user behavior data and sends the generated data report to the administrator terminal 101, the administrator terminal 101 adjusts and updates a list item browsed and clicked by the user on the user terminal 103 according to the generated data report and sends the adjusted and updated list item to the server 102, and the server 102 sends the adjusted and updated list item to the user terminal 103. After the user terminal 103 displays the adjusted and updated list items, the user terminal 103 repeats the above steps to collect and transmit the user behavior data.

In the embodiment of the present application, the administrator side 101 and each user side 103 may be a device such as a mobile phone, a desktop computer, a notebook computer, and the like, and fig. 1 is only an example of a mobile phone, and does not limit the embodiment of the present application.

Fig. 2 is a flowchart of a method for determining user behavior data according to an embodiment of the present application, where the method is applied to the user side in fig. 1, and the method includes the following steps:

step 201: the user side starts a page fragment, the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, and the first page area is any one of the one or more page areas.

Step 202: the user side collects user behavior data generated in the process that a user browses the first page area through the page segments, wherein the user behavior data comprises user behavior data generated based on clicking operation of the user and user behavior data generated based on sliding operation of the user.

Step 203: and the user side sends the user behavior data to the server.

In the embodiment of the application, the user side collects user behavior data based on the page fragments. Since the content list can be displayed in the page area indicated by the page segment, even if the displayed content list is changed, the user behavior data of the changed content list is still collected through the page segment. That is, in the embodiment of the present application, regardless of which content list the content list displayed in the page area indicated by the page section is, the user behavior data is collected by the application program of the page section, and the stable reusability is improved compared to collecting the user behavior data by taking the content list as a unit, so that the efficiency of determining the user behavior data is improved.

Fig. 3 is a flowchart of another method for determining user behavior data according to an embodiment of the present application, where the method is applied to the server in fig. 1, and includes the following steps:

step 301: the server receives user behavior data collected by a user side through a page fragment, wherein the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in a first page area in the one or more page areas, and the first page area is any one of the one or more page areas, and the user behavior data comprises user behavior data generated based on clicking operation of a user and user behavior data generated based on sliding operation of the user.

Step 302: and the server generates a data report according to the received user behavior data.

Step 303: and the server sends the generated data report to an administrator terminal for prompting the administrator to adjust the list items of the content list displayed in the page area according to the data report.

In the embodiment of the application, the user terminal collects user behavior data based on the page segments and reports the collected user behavior data to the server. Since the content list can be displayed in the page area indicated by the page segment, even if the displayed content list is changed, the user behavior data of the changed content list is still collected through the page segment. That is, in the embodiment of the present application, no matter which content list the page section indicates, the content list displayed in the page area is, the user behavior data is collected by the application program of the page section, and the stable reusability is improved compared with the collection of the user behavior data by using the content list as a unit, so that the efficiency of determining the user behavior data is improved.

Fig. 4 is another method for determining user behavior data according to an embodiment of the present application, where the method is applied to the system shown in fig. 1. The method comprises the following steps:

step 401: the user side starts a page fragment, the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, and the first page area is any one of the one or more page areas.

Currently, when an operating system of a user side is an android system, a plurality of application programs are deployed on the operating system. The plurality of applications are used to implement different functions. The page fragment (fragment) is an application program newly added in the android system 3.0, and is used for dividing a screen at a user side into several independent page areas, and each page area is used for displaying different contents. Through the application program of the page fragment, the user side can realize the partition management of the screen.

For example, when no page fragment is deployed in the operating system of the user side, after the user side is turned on, the screen of the user side displays a complete first page area, and a content list is displayed in the first page area, as shown in fig. 5 (1). When the page fragment is deployed in the operating system of the user side, after the user side is started, a content list may be displayed in any of a plurality of page areas displayed on the screen of the user side, as shown in fig. 5 (2).

Based on the above, the page fragment is deployed in the operating system of the ue, so that after the ue is powered on and the operating system of the ue is turned on, the page fragment is enabled accordingly.

Step 402: the user side collects user behavior data generated in the process that a user browses the first page area through the page segments, wherein the user behavior data comprises user behavior data generated based on clicking operation of the user and user behavior data generated based on sliding operation of the user.

In the embodiment of the application, a frame for collecting user behavior data based on a page fragment can be built at a user terminal, the frame comprises a general subclass based on the page fragment, and a relevant interface required for collecting the user behavior data is defined in the general subclass. That is, the relevant interfaces are deployed on the page segment, and no matter what content list is displayed in the page area indicated by the page segment, in step 402, the user terminal collects the user behavior data through the relevant interfaces deployed on the page segment.

Since the operations generated during the user's browsing of the first page area usually include a click operation and a slide operation, the user behavior data also includes two categories: user behavior data generated based on a click operation by a user and user behavior data generated based on a slide operation by the user. Based on this scenario, step 402 can be implemented in the following two possible ways.

The first possible mode is applied to collecting user behavior data generated based on clicking operation of a user.

The user behavior data generated based on the clicking operation of the user comprises content list identification, list browsing duration, a click screen index, a click list index and a click content type.

The content list identification is used for indicating a content list currently displayed in a page area, the list browsing duration is used for indicating a duration from the beginning of the content list currently displayed to the current time, the click screen index is used for indicating the position of a list item currently clicked in the page area, the click list index is used for indicating the position of the list item currently clicked in the content list currently displayed, the maximum list index is the maximum value in the list index of the list items displayed in the page area before the current time, and the click content type is used for indicating the type of the list item currently clicked.

Thus, the implementation of step 402 may be: when the clicking operation is detected, one or more of content list identification, content list browsing duration, a clicked screen index, a clicked list index and a clicked content type are obtained based on each interface deployed on the page segment.

The content list identification is obtained through the content list identification interface in the related interfaces. The content list identification may be a name of the content list. In addition, the code of the content list identification interface may be: public String get Cur Stat Page Name (). Additionally, the content list identification may be marked as: refer.

The browsing duration of the content list is obtained through a content list visible interface in the related interfaces, and the code of the content list visible interface may be: public void on Fragment Select (bootean is Selected). In addition, the content list browsing duration may be marked as: the static _ time. Upon launching the page fragment, the page fragment indicates that the content list in the page area is also in a visible state. When a certain content list in the page area is visible, the user can be considered to start browsing the content list, the starting time is recorded, and the time when the clicking operation is detected is subtracted from the starting time to obtain the browsing duration of the content list.

The click list index is obtained through a list index interface in the related interfaces. In one possible implementation, the list index interface may include three different interfaces. The first list index interface is used to obtain the list index of the first row list item in the current page area. The code of the first list index interface may be: protected int get First Visible Position (). The second list index interface is used to obtain the list index of the last row of list items in the current page area. The code of the second list index interface may be: protected int get First Visible Position (). The third list index interface is used for obtaining the list index of the list item clicked currently. The click list index may be uniformly labeled: tab _ pos.

The click screen index may be obtained according to the list index obtained by the first list index interface and the list index obtained by the third list index interface. In addition, the click screen index may be labeled screen _ pos. For example, as shown in fig. 6, if the list item clicked currently is the list item a in fig. 6, the list index obtained by the first list index interface is 3, and the list index obtained by the third list index interface is 4, the click screen index corresponding to the current click operation is 2.

The content type clicking is realized through a content list identification interface in the related interface, and the content list identification interface acquires the content list name and the type of the content list. For example, when the name of the clicked list is a certain sports game, the name of the sports game is obtained, and the game belonging to sports news is also obtained, and then "sports news" is the type of the content list.

In addition, the user behavior data generated based on the click operation of the user may also include other types of user behavior data, and the process of acquiring the other types of user behavior data may refer to the above several types of user behavior data acquisition processes, which are not described herein one by one.

The second possible mode is applied to collecting user behavior data generated based on the sliding operation of the user.

Wherein the user behavior data generated based on the sliding operation of the user includes the number of times of list sliding and the maximum depth of list sliding. The number of list sliding is a number of sliding detected between the start of display of the content list currently displayed and the current time, and the maximum depth of list sliding is used to indicate the maximum list index, which is the maximum value among the list indexes of list items displayed in the page area before the current time.

The sliding frequency is obtained through a sliding frequency recording interface in the related interfaces, and the code of the sliding frequency recording interface may be: public void on Scroll State Changed (). Additionally, the number of slips can be labeled: slide _ num. The above implementation manner of updating the sliding times of the storage list may be: and adding 1 to the sliding frequency of the stored column report every time the list sliding is detected, and taking the numerical value added with 1 as the updated list sliding frequency. For example, if the number of times of list sliding is stored as 3 times, and when one sliding operation is detected again, the number of times of list sliding is increased by 1, and after this sliding, the number of times of list sliding stored is updated to 4.

The above implementation manner of determining the maximum sliding depth of the list may be: determining a list index of a last row of list items displayed in a page area through a list index interface configured on the page fragment, and taking the determined list index as a sliding depth of a current list; and if the sliding depth of the current list is greater than the maximum sliding depth of the stored list, taking the sliding depth of the current list as the maximum sliding depth of the updated list. For example, after the content list is displayed, if a sliding operation is detected for the first time, and the list index of the last row in the page area is 10 at this time, the list sliding depth of the current user is 10, and the list sliding depth 10 is stored. If a swipe operation is detected again and the list index of the last row in the current page area is 20, then 20 is swiped to the maximum depth as the updated list. If a swipe is again detected and the list index of the last row in the current page area is less than 10, the value of the list swipe maximum depth is not updated, which is again 10.

In addition, the list sliding maximum depth may be marked as: depest _ pos.

In the foregoing implementation manner, the collected user behavior data may include a content list identifier, a list browsing duration, a click screen index, a click list index, a click content type, a sliding list sliding number, and a list sliding maximum depth. Compared with the method and the device for acquiring the name of the clicked content list and the screen index of the clicked list item, the method and the device for acquiring the user data have more dimensionalities, so that the acquired user behavior data is richer than that of the related technology, and the browsing and clicking habits of the user can be accurately determined subsequently.

Step 403: and the user side sends the user behavior data to the server.

The user side can directly send the collected user behavior data to the server when collecting the user behavior data each time, and certainly, the user side can also send the user behavior data collected before the current time to the server when detecting the click operation each time. Thus, there are two possible implementations of step 403:

in a first possible implementation manner, user behavior data generated based on a current click operation and user behavior data generated based on a sliding operation of a user that is the latest time before the current click operation are sent to a server, where the current click operation refers to a click operation that is the latest time from the current time.

During the process of browsing the content list by the user, the list items clicked by the user can represent the content in which the user is interested, but the list items displayed during the process of sliding the screen by the user are not necessarily the content in which the user is interested. Therefore, in the embodiment of the present application, the reported user behavior data is the user behavior data generated each time based on the click operation and the user behavior data generated each time the sliding operation between two adjacent click operations is performed. In this way, when the click operation is detected each time, the user behavior data reported by the user side can represent the browsing condition of the user for the currently clicked list item.

In a second possible implementation manner, when any user operation is clicked, user behavior data generated based on the user operation is sent to the server, where the user behavior operation may be a click operation or a slide operation.

In a second possible implementation manner, when any user operation is detected, the user side sends user behavior data generated based on the user operation to the server, and the server performs subsequent processing on the received user behavior data without processing the data by the user side.

Step 404: and the server receives the user behavior data collected by the user side.

Based on the first possible implementation manner of sending the user behavior data by the user terminal in step 403, the server receives the user behavior data generated based on the current click operation and the user behavior data generated based on the last sliding operation of the user before the current click operation in step 404.

Based on the second possible implementation manner of sending the user behavior data by the user side in step 403, the server receives that the user side sends the user behavior data generated based on any user operation to the server when detecting the user operation in step 404. At this time, the server processes the received user behavior data to obtain user behavior data generated by each click operation and user behavior data generated by the user's slide operation which is based on the latest time before each click operation.

Step 405: and the server generates a data report according to the user behavior data.

According to the configuration preset on the server, the server can generate a data report according to the user behavior data generated by each click operation and the user behavior data generated by the latest user sliding operation before each click operation. The data report includes a plurality of attribute options.

As shown in fig. 7, the multiple attribute options include the occurrence date of the click operation, the version of the user side, the type of the user, the operation type, the identifier of the content list, the total number of the user sides, the total number of clicks, the per-person sliding number, the per-person sliding depth, and the per-person browsing duration.

For any one of the attribute options of the occurrence date, the operation type, the user side version, the content list identifier and the user type of the click operation, the administrator can set a specific attribute value corresponding to the attribute option. For example, the administrator may set the occurrence date of the click operation to 2019, month 1 and day 1 to 209, month 7 and day 1. The administrator may set the operation type to a click operation. The administrator can set the user side version to android 3.0. The administrator can set the content list identification to be content list x. After the administrator sets the attribute options, the server may generate attribute values of other attribute options in the data report according to user behavior data corresponding to all click operations that meet the click operation occurrence date of 2019, month 1 and year 7, month 1 and year 209, the user side version is android 3.0, and the clicked content list is the content list x. The user behavior data corresponding to all click operations comprises user behavior data generated by each click operation and user behavior data generated based on the last sliding operation of the user before each click operation.

In addition, for several attribute options for which attribute values are configured by the administrator, the administrator may configure one or more of the several attribute options, and for attribute options for which the administrator does not configure attribute values, the attribute values of the attribute options may be default attribute values. For example, for several attribute options of the occurrence date, the operation type, the user side version, the content list identifier, and the user type of the click operation, the administrator configures the attribute value of each attribute option of the action type, the user side version, the content list identifier, and the user type, at this time, the attribute value of the occurrence date of the click operation may be a default attribute value, and the default attribute value may be a time period from the initialization of the server to the current time.

The attribute values of other attribute options include the total number of the user sides, the total number of clicks, the number of per-person sliding times, the per-person sliding depth and the per-person browsing duration. For example, the total number of the user terminals is determined according to the user terminals corresponding to each click operation in the user behavior data corresponding to all the click operations. For another example, the per-person sliding times are determined according to the list sliding times and the total number of the user terminals corresponding to each clicking operation in the user behavior data corresponding to all the determined clicking operations. For another example, the per-person sliding depth is determined according to the determined maximum list sliding depth and the total number of the user terminals corresponding to each click operation in the user behavior data corresponding to all the click operations. For another example, the per-person browsing duration is determined according to the list browsing duration and the total number of the user terminals corresponding to each click operation in the user behavior data corresponding to all the click operations determined above.

The attribute options included in the data report in step 405 may also include other attribute options, which is not specifically limited in this application.

Step 406: and the server sends the data report to the administrator terminal for prompting the administrator to adjust the list items of the content list displayed in the first page area according to the data report.

For the data report sent by the server, the administrator displays the data report, and the administrator can configure the attribute values of one or more attribute options of the attribute options, such as the occurrence date, the operation type, the version of the user side, the content list identifier, and the user type, of the click operation according to the manner of configuring the attribute options in step 405. The administrator terminal sends the attribute values of the attribute options configured by the administrator to the server, so that the server determines the attribute values of the attribute options of the total number of the user terminals, the total number of clicks, the per-person sliding number, the per-person sliding depth and the per-person browsing duration in the data report according to the attribute values of the attribute options configured by the administrator, and returns the attribute values of the attribute options of the total number of the user terminals, the total number of clicks, the per-person sliding number, the per-person sliding depth and the per-person browsing duration to the administrator terminal. And the administrator end displays the determined attribute values of the attribute options of the total number of the user ends, the total number of clicks, the per-person sliding number, the per-person sliding depth and the per-person browsing duration. Therefore, the position of a certain list item in the content list can be conveniently adjusted by an administrator according to the content currently displayed by the data report, so that the list item after the position is adjusted is more in line with the browsing and clicking habits of users.

For example, according to a data report currently displayed by an administrator terminal, the administrator finds that the user prefers to click the third row of the content category table, and the browsing time of the user at the position is longer than that of other positions, so that the administrator can more want the user to see the list item a at the third row when adjusting the content list, and the administrator can make the list item a conform to the past browsing and clicking habits of the user. As shown in fig. 8.

After the administrator adjusts the content list, the administrator may cause the user terminal to display the adjusted content list through the following steps 407 to 409.

Step 407: after detecting that the content list is adjusted by the administrator, the administrator terminal sends a content list adjustment request to the server, wherein the content list adjustment request carries a content list identifier, a list item to be adjusted, and a position of the list item to be adjusted in the content list indicated by the content list identifier.

Step 408: and the server receives the content list adjustment request, and adjusts each list item in the content list indicated by the content list identification according to the list item to be adjusted and the position of the list item to be adjusted in the content list indicated by the content list identification.

Step 409: and the server sends the adjusted content list to the user side so that the user side displays the adjusted content list.

And the server sends the adjusted content list to the user side, and the user side displays the adjusted content list in the first page area. The user repeatedly executes step 402 to collect user behavior data generated in the process of browsing the adjusted content list by the user, and sends the user behavior data collected again to the server.

When the server receives the user behavior data collected by the user side again, the step 405 is continuously executed to realize that the server continuously adjusts the content list, so that the adjusted content list conforms to the browsing and clicking habits of the user at the current time. That is, the administrator may adjust the content list in real time according to the change of the user's browsing click habits.

Fig. 9 is a schematic structural diagram of an apparatus for determining user behavior data according to an embodiment of the present application, where the apparatus 900 is applied to a user side, and includes:

a starting module 901, configured to start a page fragment of a user side, where the page fragment is an application program and is used to create one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, and the first page area is any one of the one or more page areas;

an acquisition module 902, configured to acquire, through a page segment, user behavior data generated in a process in which a user browses a first page area, where the user behavior data includes user behavior data generated based on a click operation of the user and user behavior data generated based on a slide operation of the user;

a sending module 903, configured to send the user behavior data to a server.

Optionally, a content list identifier interface is configured on the page segment, and the acquisition module 902 is specifically configured to:

when the clicking operation is detected, acquiring a content list identifier through a content list identifier interface, wherein the content list identifier is used for indicating a content list currently displayed in the first page area.

Optionally, a content list visible interface is configured on the page segment, and the acquisition module 902 is specifically configured to:

and when the clicking operation is detected, acquiring a list browsing duration through the content list visible interface, wherein the list browsing duration is used for indicating the duration from the display of the currently displayed content list to the current time.

Optionally, a list index interface is configured on the page segment, and the acquisition module 902 is specifically configured to:

when the clicking operation is detected, acquiring a clicking screen index through a list index interface, wherein the clicking screen index is used for indicating the position of a currently clicked list item in the first page area.

Optionally, when the click operation is detected, the acquisition module 902 is specifically configured to:

and acquiring a click list index through a list index interface, wherein the click list index is used for indicating the position of the currently clicked list item in the currently displayed content list.

and when the clicking operation is detected, acquiring the type of the clicked content through a content list identification interface, wherein the type of the clicked content is used for indicating the type of the currently clicked list item.

Optionally, a sliding frequency recording interface is configured on the page segment, and the acquisition module 902 is specifically configured to:

Optionally, a list index interface is configured on the page segment, and the collecting module 902 is specifically configured to:

when a sliding operation for a content list currently displayed in the first page area is detected, acquiring a list index of a last row of list items displayed in the first page area through a list index interface, and taking the determined list index as a sliding depth of the current list;

and if the current list sliding depth is greater than the stored list sliding maximum depth, taking the current list sliding depth as the updated list sliding maximum depth, wherein the list sliding maximum depth is used for indicating the maximum list index, and the maximum list index refers to the maximum value in the list indexes of list items displayed in the page area before the current time.

Optionally, the sending module 903 is configured to:

and sending user behavior data generated based on the current click operation and user behavior data generated based on the sliding operation of the user which is the latest time before the current click operation to the server, wherein the current click operation refers to the click operation which is the latest time away from the current time.

It should be noted that: in the apparatus for determining user behavior data provided in the foregoing embodiment, when determining user behavior data, only the division of each functional module is illustrated, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above described functions. In addition, the apparatus for determining user behavior data and the method for determining user behavior data provided in the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments, and are not described herein again.

Fig. 10 is a schematic structural diagram of an apparatus for determining user behavior data according to an embodiment of the present application, where the apparatus 1000 may include:

a first receiving module 1001, configured to receive user behavior data collected by a user side, where the user behavior data is collected by the user side through a page segment, the page segment is an application program and is used to create one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, and the user behavior data includes user behavior data generated based on a click operation of a user and user behavior data generated based on a slide operation of the user;

the generating module 1002 is configured to generate a data report according to the user behavior data;

the first sending module 1003 is configured to send the data report to the administrator, and prompt the administrator to adjust a list item of the content list displayed in the first page area according to the data report.

Optionally, the data report is configured to indicate average user behavior data corresponding to any content list identifier, where the average user behavior data at least includes one or more of an average maximum list sliding depth, an average sliding number, and an average staying time.

Optionally, the apparatus further comprises:

a second receiving module 1004, configured to receive a content list adjustment request, where the content list adjustment request carries a content list identifier, a list item to be adjusted, and a position of the list item to be adjusted in the content list indicated by the content list identifier;

an adjusting module 1005, configured to adjust each list item in the content list indicated by the content list identifier according to the list item to be adjusted and a position of the list item to be adjusted in the content list indicated by the content list identifier;

the second sending module 1006 is configured to send the adjusted content list to the user side, so that the user side displays the adjusted content list.

Optionally, the apparatus further comprises:

and the executing module 1007 is configured to continue to execute the step of generating the data report according to the user behavior data when the user behavior data collected by the user side is received again.

It should be noted that: in the apparatus for determining user behavior data provided in the foregoing embodiment, when determining user behavior data, only the division of each function module is illustrated, and in practical applications, the function distribution may be completed by different function modules according to needs, that is, the internal structure of the device is divided into different function modules, so as to complete all or part of the functions described above. In addition, the apparatus for determining user behavior data and the method for determining user behavior data provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

Fig. 11 is a block diagram of a user terminal 1100 according to an embodiment of the present disclosure. The user side 1100 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio La11er III, motion Picture Experts compressed standard Audio layer 3), an MP4 player (Moving Picture Experts Group Audio La11er IV, motion Picture Experts compressed standard Audio layer 4), a notebook computer or a desktop computer. User terminal 1100 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, and the like.

In general, the user terminal 1100 includes: a processor 1101, and a memory 1102.

Processor 1101 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1101 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate array 11), and a PLA (Programmable Logic array). The processor 1101 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1101 may be integrated with a GPU (Graphics Processing Unit) that is responsible for rendering and drawing the content that the display screen needs to display. In some embodiments, the processor 1101 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.

Memory 1102 may include one or more computer-readable storage media, which may be non-transitory. Memory 1102 can also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1102 is used to store at least one instruction for execution by processor 1101 to implement the method of determining user behavior data provided by the method embodiments herein.

The display screen 1103 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1103 is a touch display screen, the display screen 1103 also has the ability to capture touch signals on or above the surface of the display screen 1103. The touch signal may be input to the processor 1101 as a control signal for processing. At this point, the display screen 1103 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1103 may be one, which is a front panel of the user terminal 1100; in other embodiments, the display screens 1103 may be at least two, respectively disposed on different surfaces of the user end 1100 or in a folding design; in still other embodiments, display 1103 may be a flexible display, disposed on a curved surface or on a folded surface of user end 1100. Even more, the display screen 1103 can be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The display 1103 can be made of LCD (Liquid crystal display) or OLED (Organic Light-Emitting Diode).

Those skilled in the art will appreciate that the configuration shown in fig. 11 is not limiting for user terminal 1100, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

The present application further provides a non-transitory computer-readable storage medium, and when instructions in the storage medium are executed by a processor of a user end, the user end is enabled to execute the method for determining user behavior data according to the above embodiment.

The present application further provides a computer program product containing instructions, which when run on a user end, causes the user end to execute the method for determining user behavior data provided in the foregoing embodiments.

Fig. 12 is a schematic structural diagram of a server according to an embodiment of the present application. The server may be a server in a cluster of background servers. Specifically, the method comprises the following steps:

the server 1200 includes a Central Processing Unit (CPU) 1201, a memory 1202, and a system bus 1203 connecting the system memory 1202 and the central processing unit 1201. Memory 1202 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM drive.

Without loss of generality, computer readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state storage technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that computer storage media is not limited to the foregoing.

The memory 1202 also includes one or more programs, which are stored in the memory and configured to be executed by the CPU. The one or more programs include instructions for performing the method of determining user behavior data provided by embodiments of the present application.

Embodiments of the present application further provide a non-transitory computer-readable storage medium, where instructions in the storage medium, when executed by a processor of a server, enable the server to perform the method for determining user behavior data provided in the foregoing embodiments.

Embodiments of the present application further provide a computer program product containing instructions, which when run on a server, cause the server to perform the method for determining user behavior data provided in the foregoing embodiments.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for determining user behavior data, applied to a user side, the method comprising:

and sending the user behavior data to a server.

2. The method of claim 1, wherein a content list identification interface is configured on the page fragment;

the acquiring, by the page segment, user behavior data generated in a process of browsing the first page area by a user includes:

3. The method of claim 1, wherein a content list visible interface is configured on the page fragment;

4. The method of claim 1, wherein a list index interface is configured on the page fragment;

the collecting user behavior data generated in the process that the user browses the first page area through the page segment comprises the following steps:

5. The method of claim 4, wherein when the click operation is detected, the method further comprises:

6. The method of claim 4, wherein when the click operation is detected, the method further comprises:

7. The method of claim 1, wherein a content list identification interface is configured on the page fragment;

8. The method of claim 1, wherein a sliding number recording interface is configured on the page segment;

9. The method of claim 1, wherein a list index interface is configured on the page fragment;

and if the current list sliding depth is greater than the stored list sliding maximum depth, taking the current list sliding depth as the updated list sliding maximum depth, wherein the list sliding maximum depth is used for indicating a maximum list index, and the maximum list index refers to the maximum value in the list indexes of the list items displayed in the first page area before the current time.

10. The method of claim 1, wherein the sending the user behavior data to a server comprises:

11. A method for determining user behavior data, applied to a server, the method comprising:

receiving user behavior data collected by a user side, wherein the user behavior data is collected by a page fragment at the user side, the page fragment is an application program and is used for creating one or more page areas in a screen of the user side, a content list is displayed in a first page area in the one or more page areas, the first page area is any one of the one or more page areas, and the user behavior data comprises user behavior data generated based on clicking operation of a user and user behavior data generated based on sliding operation of the user;

generating a data report according to the user behavior data;

12. The method of claim 11, wherein the data report is used to indicate average user behavior data corresponding to any content listing identification, the average user behavior data including at least one or more of average maximum listing sliding depth, average number of sliding, and average length of stay.

13. The method according to claim 11 or 12, wherein after sending the data report to an administrator, further comprising:

and sending the adjusted content list to the user side so that the user side displays the adjusted content list in the first page area.

14. The method of claim 13, wherein after sending the adjusted content list to the user side, further comprising:

and when the user behavior data acquired by the user side through the page segment is received again, continuing to execute the step of generating the data report according to the user behavior data.

15. An apparatus for determining user behavior data, applied to a user side, the apparatus comprising:

a starting module, configured to start a page fragment of the user side, where the page fragment is an application program and is used to create one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, and the first page area is any one of the one or more page areas;

and the sending module is used for sending the user behavior data to a server.

16. An apparatus for determining user behavior data, applied to a server, the apparatus comprising:

a first receiving module, configured to receive user behavior data collected by a user side, where the user behavior data is collected by a page fragment for the user side, the page fragment is an application program and is used to create one or more page areas in a screen of the user side, a content list is displayed in a first page area of the one or more page areas, the first page area is any one of the one or more page areas, and the user behavior data includes user behavior data generated based on a click operation of a user and user behavior data generated based on a slide operation of the user;

17. A system for determining user behavior data, the system comprising an administrator side, a server, and a plurality of user sides;

the user terminal is used for realizing the method of any one of claims 1 to 10;

the server is adapted to implement the method of any of claims 11 to 14.

18. A user terminal, the user terminal comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the steps of the method of any of the above claims 1 to 10.

19. A server, characterized in that the server comprises:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to perform the steps of the method of any of the above claims 11 to 14.

20. A computer-readable storage medium having stored thereon instructions which, when executed by a processor, carry out the steps of the method of any of claims 1 to 10.

21. A computer-readable storage medium having stored thereon instructions which, when executed by a processor, carry out the steps of the method of any of the preceding claims 11 to 14.