CN110298007A - User behavior statistical method, device, electronic equipment and computer readable storage medium - Google Patents
User behavior statistical method, device, electronic equipment and computer readable storage medium Download PDFInfo
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- CN110298007A CN110298007A CN201910601708.5A CN201910601708A CN110298007A CN 110298007 A CN110298007 A CN 110298007A CN 201910601708 A CN201910601708 A CN 201910601708A CN 110298007 A CN110298007 A CN 110298007A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
Abstract
The present invention provides a kind of user behavior statistical method, device, electronic equipment and computer readable storage mediums, it is related to the technical field of data processing, method is applied to client, method is as follows: in user's browsing pages, for each current page, it executes following steps: recording the page identification information of current page, and the page identification information of affix first level pages；The page identification information of the page identification information of the current page and the upper level page is stored into user behavior data library；After user's browsing pages, page identification information in user behavior data library is sent to server, so that server generates user behavior track according to page identification information, it solves server and successively sorts the data and cause crowded technical problem, reached the technical effect for reducing server workload.
Description
Technical field
The present invention relates to the technical fields of data processing, more particularly, to a kind of user behavior statistical method, device, electronics
Equipment and computer readable storage medium.
Background technique
Currently, with network application and the day of increasingly extensive and different field the type of business of APP (cell phone software)
Benefit is abundant, is acquired to the behavior for the user for using specific network to service and analysis becomes more and more important.
In existing technology, generally use under type such as and carry out the acquisition and analysis of user behavior: client is responsible for collection
The behavior of user is simultaneously uploaded to back-end server, and such as the interface that user is browsed, one interface client of every opening will be recorded
One data is uploaded the operation behavior of user this period, server-side receives number by defined trigger condition
According to the timestamp by obtaining user's operation is ranked up, to analyze the action trail of user.
During analyzing user behavior track, server needs screening and filtering by two adjacent Data Integrations at one
Then a plurality of adjacent data concatenating is formed the action trail of user at a link by item.In the process, data dependence
In the accuracy of user operation time record, often mistake, which occurs, in the data time will influence entire user's operation behavior
Trajectory analysis；Meanwhile server being needed to record every data respectively, it virtually increases needed for server analysis data
Time.
Summary of the invention
The purpose of the present invention is to provide user behavior statistical methods, are needed with alleviating server existing in the prior art
The technical issues of every data of client being recorded, increasing server analysis data required time.
The purpose of the present invention is to provide user behavior statistic devices, are needed with alleviating server existing in the prior art
The technical issues of every data of client being recorded, increasing server analysis data required time.
User behavior statistical method provided by the invention, the method are applied to client, and the method is as follows:
In user's browsing pages, for each current page, following steps are executed:
Record the page identification information of current page, and the page identification information of affix first level pages；It will be described current
The page identification information of the page and the page identification information of the upper level page are stored into user behavior data library；
After user's browsing pages, the page identification information in the user behavior data library is sent to service
Device, so that the server generates user behavior track according to the page identification information.
Further, before the step of recording the page identification information of current page, further includes:
Create user behavior data library；The user behavior data library is used for memory page identification information.
Further, the page identification information include page ID and, when page open time and/or page close
Between.
User behavior statistical method provided by the invention, the method are applied to server, and the method is as follows:
After user's browsing pages, the page identification data in the user behavior data library that client is sent is received；
The page identification data includes: the page identification data of each current page and its page identification data of the upper level page；
User behavior track is generated according to the page identification data.
Further, the step of user behavior track being generated according to the page identification data, comprising:
For each current page, following steps are executed: according to the page of the corresponding upper level page of the current page
Mark data obtains the page data of the upper level page；
According to the page identification data of last browsing pages, the page data of the last browsing pages is obtained；
The page data of the page data of multiple upper level pages and the last browsing pages is ranked up simultaneously
User behavior track data is recorded, the user behavior track is obtained.
Further, it is being directed to each current page, is executing following steps: according to the corresponding upper level of the current page
The page identification data of the page, before the step of obtaining the page data of the upper level page, further includes:
Create user behavior track database；The user behavior track database is for storing user behavior track number
According to.
User behavior statistic device provided by the invention, described device are applied to client, and described device includes:
Identification record module, for for each current page, executing following steps in user's browsing pages:
Record the page identification information of current page, and the page identification information of affix first level pages；It will be described current
The page identification information of the page and the page identification information of the upper level page are stored to the user behavior data being pre-created
In library；
Information sending module is used for after user's browsing pages, by the page mark in the user behavior data library
Know information and be sent to server, so that the server generates user behavior track according to the page identification information.
User behavior statistic device provided by the invention, described device are applied to server, and described device includes:
Information receiving module, for after user's browsing pages, receiving the user behavior data library that client is sent
In page identification data；The page identification data includes: the page identification data and its upper level page of each current page
The page identification data in face；
Track generation module, for generating user behavior track according to the page identification data.
Electronic equipment provided by the invention, comprising: processor, storage medium and bus, the storage medium storage is
The executable machine readable instructions of processor are stated, when electronic equipment operation, are led between the processor and the storage medium
Bus communication is crossed, the processor executes the machine readable instructions, and user behavior statistics as described above is executed when executing
The step of method.
Computer readable storage medium provided by the invention is stored with computer journey on the computer readable storage medium
The step of sequence, which executes user behavior statistical method as described above when being run by processor.
User behavior statistical method provided by the invention, the method is applied to client, firstly, in user's browsing pages
When, it for each current page, is both needed to execute following steps: recording the page identification information of current page, and additional upper level
The page identification information of the page；By the page identification information of the current page and the page identification information of the upper level page
It stores into user behavior data library；After user's browsing pages, by the page iden-tity in the user behavior data library
Information is sent to server, and server generates user behavior track according to page identification information；Client records current page
The page identification information of page identification information and the upper level page, client directly by the page identification information of adjacent two page into
It has gone sequence, has avoided the problem of server carries out time-sequencing to the page identification information of adjacent two page, reduce service
The time of device analysis user behavior track；Client records the page identification information of current page and the page of the upper level page simultaneously
Face identification information can guarantee that adjacent two page identification information is just monitored in client, and client ensure that adjacent two
The accuracy of page identification information avoids the mistake of server back end integral data, improves the working efficiency of server.
User behavior statistical method provided by the invention, the method are applied to server, firstly, working as user's browsing pages
After, receive the page identification data in the user behavior data library that client is sent；The page identification data includes: every
The page identification data of a current page and its page identification data of the upper level page；It is generated according to the page identification data
User behavior track；Client records the page identification information of current page and the page identification information of the upper level page, client
The page identification information of adjacent two page is directly sorted in end, avoids server to the page iden-tity of adjacent two page
Information carries out the problem of time-sequencing, reduces the time of server analysis user behavior track；Client records current simultaneously
The page identification information of the page and the page identification information of the upper level page can guarantee adjacent two page identification information in client
End is just monitored, and client ensure that the accuracy of adjacent two page identification information, avoids server back end and integrates number
According to mistake, improve the working efficiency of server.
User behavior statistic device provided by the invention, described device are applied to client, and described device includes: mark note
Module is recorded, for for each current page, following steps being executed: recording the page of current page in user's browsing pages
Identification information, and the page identification information of affix first level pages；By the page identification information of the current page and it is described on
The page identification information of first level pages is stored into the user behavior data library being pre-created；Information sending module, for
After the browsing pages of family, the page identification information in the user behavior data library is sent to server, so that the clothes
Device be engaged according to page identification information generation user behavior track；Identification record module records the page iden-tity letter of current page
The page identification information of breath and the upper level page, client record the page identification information of current page and the page of the upper level page
Face identification information, client are directly sorted the page identification information of adjacent two page, avoid server to adjacent
The page identification information of two pages carries out the problem of time-sequencing, reduces the time of server analysis user behavior track；Visitor
Family end records the page identification information of current page and the page identification information of the upper level page simultaneously, can guarantee adjacent page two
Face identification information is just monitored in client, and client ensure that the accuracy of adjacent two page identification information, is avoided
The mistake of server back end integral data improves the working efficiency of server.
User behavior statistic device provided by the invention, described device are applied to server, and information receiving module is used for
After user's browsing pages, the page identification data in the user behavior data library that client is sent is received；The page mark
Knowing data includes: the page identification data of each current page and its page identification data of the upper level page；Track generates mould
Block, for generating user behavior track according to the page identification data；The page identification information of client record current page
And the page identification information of adjacent two page is directly sorted, is kept away by the page identification information of the upper level page, client
Exempt from the problem of server carries out time-sequencing to the page identification information of adjacent two page, reduces server analysis user's row
For the time of track；Client records the page identification information of current page and the page identification information of the upper level page simultaneously,
It can guarantee that adjacent two page identification information is just monitored in client, client ensure that adjacent two page identification information
Accuracy, avoid the mistake of server back end integral data, improve the working efficiency of server.
Electronic equipment provided by the invention, storage medium are stored with the executable machine readable instructions of the processor, when
When electronic equipment is run, by bus communication between the processor and the storage medium, the processor executes the machine
Device readable instruction, the step of user behavior statistical method as described above is executed when executing；Client records current page
The page identification information of page identification information and the upper level page, client directly by the page identification information of adjacent two page into
It has gone sequence, has avoided the problem of server carries out time-sequencing to the page identification information of adjacent two page, reduce service
The time of device analysis user behavior track；Client records the page identification information of current page and the page of the upper level page simultaneously
Face identification information can guarantee that adjacent two page identification information is just monitored in client, and client ensure that adjacent two
The accuracy of page identification information avoids the mistake of server back end integral data, improves the working efficiency of server.
Computer readable storage medium provided by the invention is stored with computer journey on the computer readable storage medium
The step of sequence, which executes user behavior statistical method as described above when being run by processor；Client record
The page identification information of current page and the page identification information of the upper level page, client is directly by the page of adjacent two page
Identification information is sorted, and the problem of server carries out time-sequencing to the page identification information of adjacent two page is avoided,
Reduce the time of server analysis user behavior track；Client records the page identification information and upper one of current page simultaneously
The page identification information of the grade page, can guarantee that adjacent two page identification information is just monitored in client, and client is protected
The accuracy for having demonstrate,proved adjacent two page identification information, avoids the mistake of server back end integral data, improves server
Working efficiency.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram of the user behavior statistical method provided in an embodiment of the present invention applied to client；
Fig. 2 is the flow diagram of the user behavior statistical method provided in an embodiment of the present invention applied to server；
Fig. 3 is the user behavior statistical method provided in an embodiment of the present invention applied to server according to page iden-tity number
According to the flow diagram for the step of generating user behavior track；
Fig. 4 is the structural schematic diagram of the user behavior statistic device provided in an embodiment of the present invention applied to client；
Fig. 5 is the structural schematic diagram of the user behavior statistic device provided in an embodiment of the present invention applied to server.
Icon: 100- identification record module；200- information sending module；300- information receiving module；The track 400- generates
Module.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with embodiment, it is clear that described reality
Applying example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, the common skill in this field
Art personnel every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
In one embodiment, as shown in Figure 1, providing a kind of user behavior statistical method, it is applied to visitor in this way
Family is illustrated for end, is included the following steps:
S01: it in user's browsing pages, for each current page, is both needed to execute following steps: recording current page
Page identification information, and the page identification information of affix first level pages；By the page identification information of the current page and institute
The page identification information for stating the upper level page is stored into user behavior data library.
Specifically, built-in services device kernel and built-in browser kernel are embedded in the application program of client, it is built-in clear
The module that device kernel of looking at is shown as page identification information, built-in services device kernel include the page iden-tity letter for recording current page
The program of breath, for example, program setting includes the first variables A, the second variable T, third variables AOnWith the 4th variable TOn, the first variable
A is used to indicate the page iden-tity (character string) of current page, and the second variable T is used to indicate the opening time of current page, third
Variables AOnFor indicating the page iden-tity of the page up page, the 4th variable TOnFor indicating the opening time of the page up page, when
When the page constantly changes, corresponding variable changes；The script of browser is wherein directly used built in built-in browser
Language is directly interacted with built-in services device kernel, and the interactive process is using standard http agreement.
Wherein, the built-in browser kernel in the present embodiment can be the browser kernel using google company
The supplier that chromium kernel is shown as page identification information uses the library http of the microhttpd open source of GNU tissue
As built-in services device kernel.
When client opens application program, the page is in first page at this time, and client passes through built-in browser kernel
When sending the request of the page identification information of record current page to built-in kernel server, built-in services device kernel receives interior
After setting the request of browser kernel, built-in services device kernel finds out the page of corresponding current page according to the page program in it
Identification request, it is assumed that at this point, the page identification information of current page is A1, current page opening time is T1, then correspond at this time
Page identification information be (A1, T1, 0,0), the page identification information of the corresponding page is stored into user behavior data library；
After the page for the application program that client is opened changes for the first time, the page is second page at this time, it is assumed that at this point, working as
The page identification information of the preceding page is A2, current page opening time is T2, client is by built-in browser kernel to built-in clothes
When business device kernel sends the request of the page identification information of record current page, built-in services device kernel receives built-in browser
After the request of kernel, at this point, the page identification information obtained is (A2, T2, A1, T1), and corresponding page identification information is stored
Into user behavior data library, and so on, until client is by closing application program；The current page opened every time
Page identification information and the page identification information of the page up page are sequentially stored in user behavior data library.
S02: after user's browsing pages, the page identification information in the user behavior data library is sent to clothes
Business device, so that the server can generate user behavior track according to page identification information.
Specifically, after the closing application program of client, client will be stored in the page in user behavior data library
Identification information, i.e. (A1, T1, 0,0), (A2, T2, A1, T1) ... is sent in sequence to server, and server can be according to sending
Multiple page identification informations generate user behavior track.
Wherein, use the library http of the microhttpd open source of GNU tissue as server.
Above-mentioned user behavior statistical method, client record the page identification information and the upper level page of current page
The page identification information of adjacent two page is just directly sorted when receiving data, is kept away by page identification information, client
Exempt from the problem of server carries out time-sequencing to the page identification information of adjacent two page, reduces server analysis user's row
For the time of track；Client records the page identification information of current page and the page identification information of the upper level page simultaneously,
It can guarantee that adjacent two page identification information is just monitored in client, client just ensure that adjacent two page iden-tities letter
The accuracy of breath avoids the mistake of server back end integral data, improves the working efficiency of server.
Above-mentioned user behavior statistical method in one of the embodiments, in the page iden-tity letter of record current page
Before the step of breath, further includes: creation user behavior data library is used for memory page identification information.
Specifically, in development and application program, it is embedded in internal memory in the application program, by the record of client
Page identification information, i.e. page identification information (A1, T1, 0,0), (A2, T2, A1, T1) ... is stored into internal memory, side
Just to the storage of the page info of client record.
In the above-described embodiments, page identification information includes page ID and page open time, passes through page ID and the page
Opening time determines unique page, it is ensured that the accurate positionin of the opened page and the upper level page guarantees user behavior track
The accuracy of data record.
In the above-described embodiments, page identification information also may include page ID and page close time, pass through page ID
Unique page is determined with the page close time, it is ensured that the accurate positionin of the closed page and the upper level page guarantees user's row
For the accuracy of track data record.
In the above-described embodiments, when page identification information also may include page ID, page open time and page close
Between, the accuracy of page positioning is ensured by page close time, page open time and page ID, guarantees that client is recorded
Page info comprehensive and accuracy.
In one embodiment, as shown in Fig. 2, providing a kind of user behavior statistical method, it is applied to clothes in this way
It is illustrated, includes the following steps: for business device
S001: after user's browsing pages terminate, server is received in the user behavior data library that client is sent
Page identification data.
Specifically, after the closing application program of client, client is by multiple page marks in user behavior data library
Know information, i.e., above-mentioned described (A1, T1, 0,0), (A2, T2, A1, T1) ... is sent in server, and server receives client
Hold the page identification data in the user behavior data library sent.
S002: user behavior track is generated according to the page identification data received, forms complete user behavior track.
Specifically, server is according to above-mentioned (A1, T1, 0,0), (A2, T2, A1, T1) ... data are in turn arranged
Sequence generates user behavior track, forms complete user behavior track, facilitate checking for user.
In one of the embodiments, as shown in figure 3, generating the step of user behavior track according to the page identification data
Suddenly, further includes:
S0021: being directed to each current page, is both needed to execute following steps, according to the corresponding upper level of the current page
The page identification data of the page obtains the page data of the upper level page.
Specifically, the page identification information for the corresponding upper level page recorded according to the current page of client, it is above
For the page data of the second page for the application program stated, i.e., according to (A2, T2, A1, T1) obtain the page mark of first page
Know data (A1, T1), by parity of reasoning, and the page identification data of the upper level page is successively corresponded to according to the current page, obtains upper one
The page data of the grade page.
S0022: according to the page identification information of last browsing pages, the page data of last browsing pages is obtained；
Specifically, if last browsing pages are five page of application program, by above-mentioned step it is found that
The page identification data recorded at this time is (A5, T5, A4, T4), current page is obtained according to the page identification data of the page at this time
Page identification data, as (A5, T5)。
S0023: server is according to the page data of multiple upper level pages of acquisition and the page number of last browsing pages
User behavior track data is formed according to being ranked up and recording, obtains user behavior track later.
Specifically, server is according to above-mentioned (A1, T1)、…….、(A5, T5) this series of data is ranked up and remembers
Record forms user behavior track data, obtains user behavior track, facilitates checking for user.
It is being directed to each current page in one of the embodiments, is executing following steps: according to the current page pair
The page identification data for the upper level page answered, before the step of obtaining the page data of the upper level page, further includes: build
Vertical user behavior track database.
Specifically, in development and application program, in the server end embedded memory of the application program, server is recorded
Data (A1, T1)、…….、(A5, T5) store into memory, guarantee the integrality of data storage.
In one embodiment, as shown in figure 4, providing a kind of user behavior statistic device, described device is applied to visitor
Family end, described device include:
Identification record module 100, for for each current page, executing following steps: note in user's browsing pages
Record the page identification information of current page, and the page identification information of affix first level pages；By the page of the current page
The page identification information of identification information and the upper level page is stored into the user behavior data library being pre-created；
Information sending module 200 is used for after user's browsing pages, by the page in the user behavior data library
Identification information is sent to server, so that the server generates user behavior track according to the page identification information.
In one embodiment, as shown in figure 5, providing a kind of user behavior statistic device, described device is applied to clothes
Business device, described device include:
Information receiving module 300, for after user's browsing pages, receiving the user behavior data that client is sent
Page identification data in library；The page identification data includes: the page identification information and its upper level of each current page
The page identification information of the page；
Track generation module 400, for generating user behavior track according to the page identification data.
Specific about user behavior statistic device limits the limit that may refer to above for application behavioral statistics method
Fixed, details are not described herein.Modules in above-mentioned user behavior statistic device can fully or partially through software, hardware and its
Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with
It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding
Operation.
Above-mentioned module can be connected to each other or communicate via wired connection or wireless connection.Wired connection may include metal
Cable, optical cable, mixing cable etc., or any combination thereof.Wireless connection may include by LAN, WAN, bluetooth, ZigBee or
The connection of the forms such as NFC, or any combination thereof.Two or more modules can be combined into individual module, and any one
Module is segmented into two or more units.
For example, processor can be used on electronic equipment, and for executing the function in the embodiment of the present invention.
In one embodiment, a kind of electronic equipment, including processor, storage medium and bus, storage medium are provided
The executable machine readable instructions of the processor are stored with, when electronic equipment operation, the processor and the storage are situated between
By bus communication between matter, the processor executes the machine readable instructions, user as described above is executed when executing
The step of behavioral statistics method.
Electronic equipment can be the computer of general purpose computer or specific use, both can be used to implement of the invention real
The method for applying the user behavior statistics of example.The embodiment of the present invention is although illustrate only a computer, for convenience's sake,
The function that can realize description of the embodiment of the present invention in a distributed way on multiple similar platforms, is loaded with equilibrium treatment.
For example, electronic equipment may include the network port for being connected to network, one for executing program instructions or more
A processor, communication bus and various forms of storage mediums, for example, disk, ROM or RAM, or any combination thereof.It is exemplary
Ground, computer platform can also include being stored in ROM, RAM or other kinds of non-transitory storage medium or any combination thereof
In program instruction.The present processes may be implemented according to these program instructions.Electronic equipment further includes computer and other
Input/output (Input/Output, I/O) interface between input-output equipment (such as keyboard, display screen).
For ease of description, a processor is only described in the electronic device.It should be noted, however, that the present invention is implemented
Example in electronic equipment can also include multiple processors, therefore a processor described in the embodiment of the present invention execute step
Suddenly it can also be combined by multiple processors and execute or be individually performed.For example, if the processor of electronic equipment executes step A and step
B, then it should be understood that step A and step B can also be executed or single in a processor jointly by two different processors
Solely execute.For example, first processor executes step A, second processor executes step B or first processor and second processing
Device executes step A and B jointly.
In one embodiment, a kind of computer readable storage medium is provided, is deposited on the computer readable storage medium
Computer program is contained, is executed when which is run by processor such as the step of above-mentioned user behavior statistical method.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
Specific work process, can be repeated no more in the embodiment of the present invention with reference to the corresponding process in embodiment of the method.In the present invention
In provided several embodiments, it should be understood that disclosed device and method may be implemented in other ways.With
Upper described Installation practice is only schematical, for example, the division of the module, only a kind of logic function is drawn
Point, there may be another division manner in actual implementation, in another example, multiple module or components may be combined or can be integrated into
Another system, or some features can be ignored or not executed.Another point, shown or discussed mutual coupling or
Direct-coupling or communication connection can be indirect coupling or communication connection by some communication interfaces, device or module, can be with
It is electrically mechanical or other forms.
The module as illustrated by the separation member may or may not be physically separated, aobvious as module
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, ROM, RAM, magnetic disk or light
The various media that can store program code such as disk.
In the description of the present application, it should be noted that term " first ", " second ", " third " are used for description purposes only,
It is not understood to indicate or imply relative importance.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of user behavior statistical method, which is characterized in that the method is applied to client, and the method is as follows:
In user's browsing pages, for each current page, following steps are executed:
Record the page identification information of current page, and the page identification information of affix first level pages；By the current page
Page identification information and the page identification information of the upper level page store into user behavior data library；
After user's browsing pages, the page identification information in the user behavior data library is sent to server, with
The server is set to generate user behavior track according to the page identification information.
2. user behavior statistical method according to claim 1, which is characterized in that in the page iden-tity of record current page
Before the step of information, further includes:
Create user behavior data library；The user behavior data library is used for memory page identification information.
3. user behavior statistical method according to claim 1, which is characterized in that the page identification information includes the page
ID and, page open time and/or page close time.
4. a kind of user behavior statistical method, which is characterized in that the method is applied to server, and the method is as follows:
After user's browsing pages, the page identification data in the user behavior data library that client is sent is received；It is described
Page identification data includes: the page identification data of each current page and its page identification data of the upper level page；
User behavior track is generated according to the page identification data.
5. user behavior statistical method according to claim 4, which is characterized in that generated according to the page identification data
The step of user behavior track, comprising:
For each current page, following steps are executed: according to the page iden-tity of the corresponding upper level page of the current page
Data obtain the page data of the upper level page；
According to the page identification data of last browsing pages, the page data of the last browsing pages is obtained；
The page data of the page data of multiple upper level pages and the last browsing pages is ranked up and is recorded
User behavior track data obtains the user behavior track.
6. user behavior statistical method according to claim 5, which is characterized in that be directed to each current page, executing
Following steps: according to the page identification data of the corresponding upper level page of the current page, the upper level page is obtained
Before the step of page data, further includes:
Create user behavior track database；The user behavior track database is for storing user behavior track data.
7. a kind of user behavior statistic device, which is characterized in that described device is applied to client, and described device includes:
Identification record module, for for each current page, executing following steps in user's browsing pages:
Record the page identification information of current page, and the page identification information of affix first level pages；By the current page
Page identification information and the page identification information of the upper level page store into the user behavior data library being pre-created；
Information sending module, for after user's browsing pages, the page iden-tity in the user behavior data library to be believed
Breath is sent to server, so that the server generates user behavior track according to the page identification information.
8. a kind of user behavior statistic device, which is characterized in that described device is applied to server, and described device includes:
Information receiving module, for receiving in the user behavior data library that client is sent after user's browsing pages
Page identification data；The page identification data includes: the page identification data and its upper level page of each current page
Page identification data；
Track generation module, for generating user behavior track according to the page identification data.
9. a kind of electronic equipment characterized by comprising processor, storage medium and bus, the storage medium storage is
The executable machine readable instructions of processor are stated, when electronic equipment operation, are led between the processor and the storage medium
Bus communication is crossed, the processor executes the machine readable instructions, and such as claim 1-3 or 4-6 are executed when executing and is appointed
Described in one the step of user behavior statistical method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer journey on the computer readable storage medium
Sequence executes the user behavior statistics side as described in claim 1-3 or 4-6 are any when the computer program is run by processor
The step of method.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112258295A (en) * | 2020-11-04 | 2021-01-22 | 支付宝(杭州)信息技术有限公司 | Recording processing method, device and equipment |
| CN113342630A (en) * | 2021-06-30 | 2021-09-03 | 北京奇艺世纪科技有限公司 | Information processing method and device, electronic equipment and readable storage medium |
| CN113900916A (en) * | 2021-09-29 | 2022-01-07 | 北京奇艺世纪科技有限公司 | Application program statistical method and device |
| CN117473172A (en) * | 2023-12-28 | 2024-01-30 | 深圳海智创科技有限公司 | Information processing method, device, equipment and storage medium based on user operation |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120260151A1 (en) * | 2011-04-06 | 2012-10-11 | Takahiro Okayama | Information Processing Apparatus, Information Processing Method, Program, Server, and Information Processing System |
| CN103124273A (en) * | 2011-11-17 | 2013-05-29 | 阿里巴巴集团控股有限公司 | Method and system for building and matching path inverted list based on user behavior analysis |
| CN106067991A (en) * | 2016-05-25 | 2016-11-02 | 武汉斗鱼网络科技有限公司 | A kind of white list based on User Page action trail generates system and method |
| CN106210792A (en) * | 2016-06-24 | 2016-12-07 | 武汉斗鱼网络科技有限公司 | Any active ues collection maintaining method based on time wheel disc and page behavior and system |
| CN106909372A (en) * | 2017-01-23 | 2017-06-30 | 武汉奇米网络科技有限公司 | A kind of mobile end subscriber purchase path calculation method and system |
| CN107423329A (en) * | 2017-04-14 | 2017-12-01 | 百度在线网络技术（北京）有限公司 | Information acquisition method and device |
| US20180007153A1 (en) * | 2013-10-23 | 2018-01-04 | Cision Us Inc. | Web browser tracking |
| CN107729552A (en) * | 2017-11-03 | 2018-02-23 | 广州优视网络科技有限公司 | User behavior method for tracing, device, user terminal and server |
-
2019
- 2019-07-04 CN CN201910601708.5A patent/CN110298007A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120260151A1 (en) * | 2011-04-06 | 2012-10-11 | Takahiro Okayama | Information Processing Apparatus, Information Processing Method, Program, Server, and Information Processing System |
| CN103124273A (en) * | 2011-11-17 | 2013-05-29 | 阿里巴巴集团控股有限公司 | Method and system for building and matching path inverted list based on user behavior analysis |
| US20180007153A1 (en) * | 2013-10-23 | 2018-01-04 | Cision Us Inc. | Web browser tracking |
| CN106067991A (en) * | 2016-05-25 | 2016-11-02 | 武汉斗鱼网络科技有限公司 | A kind of white list based on User Page action trail generates system and method |
| CN106210792A (en) * | 2016-06-24 | 2016-12-07 | 武汉斗鱼网络科技有限公司 | Any active ues collection maintaining method based on time wheel disc and page behavior and system |
| CN106909372A (en) * | 2017-01-23 | 2017-06-30 | 武汉奇米网络科技有限公司 | A kind of mobile end subscriber purchase path calculation method and system |
| CN107423329A (en) * | 2017-04-14 | 2017-12-01 | 百度在线网络技术（北京）有限公司 | Information acquisition method and device |
| CN107729552A (en) * | 2017-11-03 | 2018-02-23 | 广州优视网络科技有限公司 | User behavior method for tracing, device, user terminal and server |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112258295A (en) * | 2020-11-04 | 2021-01-22 | 支付宝(杭州)信息技术有限公司 | Recording processing method, device and equipment |
| CN113342630A (en) * | 2021-06-30 | 2021-09-03 | 北京奇艺世纪科技有限公司 | Information processing method and device, electronic equipment and readable storage medium |
| CN113900916A (en) * | 2021-09-29 | 2022-01-07 | 北京奇艺世纪科技有限公司 | Application program statistical method and device |
| CN117473172A (en) * | 2023-12-28 | 2024-01-30 | 深圳海智创科技有限公司 | Information processing method, device, equipment and storage medium based on user operation |
| CN117473172B (en) * | 2023-12-28 | 2024-03-08 | 深圳海智创科技有限公司 | Information processing method, device, equipment and storage medium based on user operation |
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