CN109918150A - A kind of personal page preloading method and system based on user behavior - Google Patents
A kind of personal page preloading method and system based on user behavior Download PDFInfo
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Abstract
The application provides a kind of personal page preloading method and system based on user behavior, this method comprises: analysis group of subscribers behavioral data, which obtains group, recommends browsing data；Obtain the user individual behavioral data that user terminal reports；Browsing data and user individual behavioral data are recommended to generate personalized preloading packet based on group；The personalized preloading packet is issued to the user terminal to preload.To which in the continuous use process of user, system can constantly calculate the preloading scheme for being best suitable for the user that analyzes, and then page loading efficiency improves according to the usage behavior of user, system resource occupancy is greatly reduced.
Description
Technical field
This application involves computer field more particularly to a kind of personal page pre-add support method based on user behavior and
System
Background technique
In the prior art when mobile application cross-platform using React Native technological development, page loading scheme is divided into whole
Packet load, subpackage temporarily load, subpackage preloads three kinds of modes.Wherein, the process of whole packet load is: all RN pages are beaten
Packet, when some page needs to be demonstrated, needs entire JS packet loading system then can just show institute in a JS packet
Need the page；Subpackage, which temporarily loads, to be referred to: the different RN pages is packaged in different JS packets, when needing to show some page,
By the JS packet loading system where the page, the page needed for then showing.Subpackage preloading refers to, a part of JS packet is carried in advance
Enter into system, if what is opened is the page in the JS packet loaded, loading velocity can be promoted.These three modes have it
Defect:
1) the problem of whole packet loads is that all pages have all been packaged in a JS packet.JS backpack body product is larger, is loaded into system
The time of system is longer.On the other hand, all RN pages are contained in JS packet, in order to show a page, all by all pages
Loading system causes the wasting of resources.
2) subpackage load compares whole packet load, and when showing a RN page, the resource of required loading system is reduced.
But when each RN page open, require temporarily first to contain JS into could show respective page later.Increase each page
Opening time.There is larger impact to user experience.
3) subpackage preloads mode, be all currently it is empirically fixed preload some JS packets, when the opening page, if it is
In the JS packet loaded, then loading efficiency has promotion.But for different user, use habit and the area process Dou You
Not, the page that some JS packets empirically preloaded are often opened with user is inconsistent, causes to preload and does not play work
With wasting system resource instead.
Summary of the invention
This specification is proposed in view of the above problems to overcome the above problem in order to provide one kind or at least be partially solved
The personal page based on user behavior of the above problem preloads method and system.
In a first aspect, the application provides a kind of personal page pre-add support method based on user behavior, comprising: analysis group
Body user behavior data obtains group and recommends browsing data；Obtain the user individual behavioral data that user terminal reports；It is based on
Group recommends browsing data and user individual behavioral data to generate personalized preloading packet；It will be under the personalized preloading packet
The user terminal is dealt into be preloaded.
Wherein, the group of subscribers behavioral data includes the User Page browsing record reported from each user terminal.
Wherein, the analysis group of subscribers behavioral data obtains group of subscribers recommendation browsing data, further comprises: analysis
The group of subscribers behavioral data obtains each User Page browse path；Count clear in each User Page browse path
The high content page of the amount of looking at accounting；Group, which is obtained, according to the content page recommends browsing data.
Wherein, recommend browsing data to generate basis based on group and preload packet；The basis is preloaded packet to be issued to newly
The user terminal of registration application is preloaded.
Wherein, the user individual behavioral data by user's history that the user terminal is recorded browse data into
Row analysis generates.
Wherein, the user individual behavioral data by user's history that the user terminal is recorded browse data into
Row analysis generates, and further comprises: the use habit of the user is analyzed based on user's history browsing data；According to described
The use habit of user generates user individual behavioral data.
It is wherein, described to recommend browsing data and the generation personalization of user individual behavioral data to preload packet based on group,
Further comprise: recommending browsing data and the user individual behavioral data to do weighted calculation the group, be determined for compliance with
The personalized preloading scheme of the user；Personalized according to the user preloads schemes generation personalization preloading packet.
Wherein, the method also includes: obtain the personalized preloading scheme of each user of each user terminal uploads, tie
Gregarious body recommends browsing data to update general preloading scheme.
Wherein, it is described by it is described it is personalized preload packet and be issued to the user terminal preload, further comprise:
User behavior data after being preloaded according to user terminal determines the feedback information of the personalized preloading scheme；Institute
State the personalized preloading scheme that feedback information adjusts the user terminal.
Second aspect, the application provide a kind of personal page Preload system based on user behavior, comprising: group's row
For analytical unit, group's recommendation browsing data are obtained for analyzing group of subscribers behavioral data；Personalized behavior unit, for obtaining
The user individual behavioral data for taking user terminal to report；Packet generation unit is preloaded, for recommending browsing data according to group
And user individual behavioral data generates personalized preload and wraps；Issuance unit, for issuing the personalized packet that preloads
It is preloaded to the user terminal.
Wherein, the group of subscribers behavioral data includes the User Page browsing record reported from each user terminal.
Wherein, the group behavior analytical unit, is also used to, and analyzes the group of subscribers behavioral data and obtains each user
Page browsing path；Count the content page that pageview accounting is high in each User Page browse path；According to described interior
Hold the page and obtains group's recommendation browsing data.
Wherein, the preloading packet generation unit, is also used to, and recommends browsing data to generate basis according to group and preloads
Packet；The user terminal that the basis preloading packet is issued to new registration application is preloaded.
Wherein, the user individual behavioral data by user's history that the user terminal is recorded browse data into
Row analysis generates.
Wherein, the user individual behavioral data be based further on user's history browsing data analyze to obtain it is described
The use habit of user is generated further according to the use habit of the user.
Wherein, packet generation unit is preloaded, is also used to, browsing data and the user individual row are recommended by the group
Weighted calculation is done for data, is determined for compliance with the personalized preloading scheme of the user；Personalized preloading side according to the user
Case generates personalized preload and wraps.
Wherein, further includes: general preloading scheme unit, the individual character of each user for obtaining each user terminal uploads
Change preloading scheme, recommends browsing data to update general preloading scheme in conjunction with group.
Wherein, the issuing unit is also used to, the user behavior data after being preloaded according to user terminal, is determined
The feedback information of the personalization preloading scheme；The feedback information adjusts the personalized preloading side of the user terminal
Case.
The third aspect, the application provide a kind of server, including processor and memory: the memory is held for storing
The program of the row above method；The processor is configured to for executing the program stored in the memory.
Fourth aspect, the application provide a kind of computer readable storage medium, are stored with computer program, and feature exists
In when the program is executed by processor the step of the realization above method.
According to the above scheme of the application, group's recommendation browsing data are obtained by analyzing group of subscribers behavioral data；It obtains
The user individual behavioral data for taking user terminal to report；Recommend browsing data and user individual behavioral data raw based on group
Packet is preloaded at personalization；The personalized preloading packet is issued to the user terminal to preload.Hence for
In the continuous use process in family, system can constantly calculate according to the usage behavior of user and analyze the pre-add for being best suitable for the user
Load scheme.So that user is when opening application page, corresponding JS be surrounded by it is maximum may be pre-loaded, user opens the page
Speed have maximized promotion.In addition for apply new user, can be used obtained by big data analysis it is general pre-
Loading scheme can be promoted and open page speed.Meanwhile page loading efficiency improves, and greatly reduces system resource occupancy, because
This also has a distinct increment to the overall experience of user.
Above description is only the general introduction of technical scheme, in order to better understand the technological means of the application,
And can be implemented in accordance with the contents of the specification, with the preferred embodiment of the application and cooperate attached drawing below detailed description is as follows.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present application, the schematic reality of the application
Example and its explanation are applied for explaining the application, is not constituted an undue limitation on the present application.In the accompanying drawings:
Fig. 1 shows the process of the personal page pre-add support method based on user behavior according to one embodiment of the application
Figure.
Fig. 2 shows the structures according to the personal page Preload system based on user behavior of one embodiment of the application
Schematic diagram.
Fig. 3 is shown according to one embodiment of the application in the block diagram for being applied to page preloading scene.
Specific embodiment
This specification technical solution is described in detail below by attached drawing and specific embodiment, it should be understood that this theory
Specific features in bright book embodiment and embodiment are the detailed description to this specification technical solution, rather than to this theory
The restriction of bright book technical solution, in the absence of conflict, technical characteristic in this specification embodiment and embodiment can be with
It is combined with each other.
The terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates that there may be three kinds of passes
System, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, herein
Middle character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Embodiment
Referring to FIG. 1, one embodiment of personal page pre-add support method of the application based on user behavior, comprising:
Step S110, analysis group of subscribers behavioral data obtain group and recommend browsing data；
Wherein, the group of subscribers behavioral data includes the User Page browsing record reported from each user terminal.Pass through
The mode that user terminal and server carry out data transmission, period or real-time report each terminal user to use page when application
The record and/or path locus of face browsing.Based on this, it can be reported by each user terminal in server, summarize to obtain group
Body user behavior data.
In one embodiment, it analyzes the group of subscribers behavioral data and obtains each User Page browse path, unite
Count the content page that pageview accounting is high in each User Page browse path.In other words, for certain content pages
Can be very high by pageview, illustrate it is all attractive for substantial portion of user or read value, then this page make
To recommend to browse data, it is more excellent that acquisition, which did not browsed the use feeling maximum probability of the user of this page,.Count each page
Pageview sorts from high to low, chooses highest a part of content page, and group can be obtained according to these content pages and recommend
Browse data.
Further, browsing data are recommended based on above-mentioned group, a basis can be directly generated and preload packet, it will be described
The user terminal that basis preloading packet is issued to new registration application is preloaded, and is accustomed in this way in the user that new user is not present
Or when behavioral data, packet is preloaded using this basis and recommends other higher pages of most of user's pageview of new user,
The use feeling and retention ratio of new user can be greatly improved, the terminal service efficiency of new user is also improved with this, reduces system
Resource occupation.Here basis preloads packet can be with JS packet, i.e. javascript packet, especially React Native (RN) technology
Develop page load JS packet used when cross-platform mobile application.
As an embodiment, new user is during using using APP, the basic pre-add that is issued using server
Carry packet, such as " 100.JSBundle packet needs to preload ".When user opens APP, 100.JSBundle is preloaded, in this way
When user opens the page in 100.JSBundle, so that it may directly open, it is clear without downloading the page from server end again
It lookes at and needs time for waiting long, but be not that basis preloads packet if the page that this user opens
100.JSBundle's, but when the page in 101.JSBundle, then need first to load 101.JSBundle to memory, then open up
Show the page, it will be more many slowly than the 100.JSBundle speed not preloaded.
Step S120 obtains the user individual behavioral data that user terminal reports；
Wherein, the user individual behavioral data by user's history that the user terminal is recorded browse data into
Row analysis generates.After user terminal records user's history browsing data, it can be reported to server, can also first be gone through to user
After history browsing data are analyzed, it is reported to server again after generating user individual behavioral data.
Further, the use habit of the user is analyzed based on user's history browsing data, the user is
The user of this user terminal, certain same user terminal can also have multiple and different users to log in different accounts, then distinguish account
Number form record user's history browse data, and user's use habit of corresponding different accounts is analyzed, thus according to described
The use habit of each user generates each user individual behavioral data.
As an embodiment, if some user, 90% or more operation is all to open
The page in 101.JSBundle, and the page frequency opened from 100.JSBundle is less, here it is this
The use habit of user.
After getting the habit of this user, to issuing " 100.JSBundle packet needs to preload " got off this letter
Breath, modifies, is revised as " 101.JSBundle needs to preload ".
Step S130 recommends browsing data and user individual behavioral data to generate personalization and preloads packet based on group；
Wherein, recommend browsing data and the user individual behavioral data to do weighted calculation the group, determine symbol
Close the personalized preloading scheme of the user；Personalized according to the user preloads schemes generation personalization preloading packet.
Further, the method also includes: obtain the personalized preloading side of each user of each user terminal uploads
Case recommends browsing data to update general preloading scheme in conjunction with group.
As an implementation, above-mentioned user is by " 101.JSBundle needs to preload " this individuation data, on
It is transmitted to server.After server gets individuation data, recommend browsing data, the i.e. data of other users in conjunction with group,
Pass through weighted calculation, it can be deduced that the preloading scheme that different user group is applicable in, to constantly improve general preloading scheme.
The personalized preloading packet is issued to the user terminal and preloaded by step S140.
Further, the user behavior data after being preloaded further according to user terminal determines the personalized pre-add
The feedback information of load scheme；The feedback information adjusts the personalized preloading scheme of the user terminal.
As an implementation, if some user, 90% or more operation is opened in 101.JSBundle
The page, and the page frequency opened from 100.JSBundle is less, and here it is the use habits of this user.Get this
It after the habit of a user, to " 100.JSBundle packet needs to preload " this information got off is issued, modifies, modifies
It is used as feedback information for " 101.JSBundle needs to preload ", and then dynamic adjusts the personalized pre-add of the user terminal
Load scheme.
Referring to FIG. 2, the application passes through the personal page Preload system based on user behavior, comprising: group behavior
Analytical unit 210 obtains group's recommendation browsing data for analyzing group of subscribers behavioral data；Personalized behavior unit 220 is used
In the user individual behavioral data that acquisition user terminal reports；Packet generation unit 230 is preloaded, it is clear for being recommended according to group
Looking at data and user individual behavioral data generates and personalized preloads packet；Issuance unit 240 is used for the personalized pre-add
Load packet is issued to the user terminal and is preloaded.
Wherein, the group of subscribers behavioral data includes the User Page browsing record reported from each user terminal.Pass through
The mode that user terminal and server carry out data transmission, period or real-time report each terminal user to use page when application
The record and/or path locus of face browsing.Based on this, it can be reported by each user terminal in server, summarize to obtain group
Body user behavior data.
Specifically, the group behavior analytical unit 210, is also used to, and analyzes the group of subscribers behavioral data and obtains respectively
A User Page browse path；Count the content page that pageview accounting is high in each User Page browse path；Foundation
The content page obtains group and recommends browsing data.In other words, for certain content pages can be very high by pageview,
Illustrate all attractive for substantial portion of user or read value, then this page is obtained as browsing data are recommended
It is more excellent for not browsing the use feeling maximum probability of the user of this page.The pageview for counting each page, sorts from high to low,
Highest a part of content page is chosen, group can be obtained according to these content pages and recommend browsing data.
Further, the preloading packet generation unit 230, is also used to, and recommends browsing data to generate basis according to group
Preload packet；The user terminal that the basis preloading packet is issued to new registration application is preloaded.It is being not present in this way
When the user's habit or behavioral data of new user, packet is preloaded using this basis recommends new user other most of users and browse
The higher page is measured, the use feeling and retention ratio of new user can be also greatly improved, is made with the terminal that this also improves new user
With efficiency, reduces system resource and occupy.Here basis preloads packet can be with JS packet, i.e. javascript packet, especially React
The page used loads JS packet when the cross-platform mobile application of Native (RN) technological development.
As an embodiment, new user is during using using APP, the basic pre-add that is issued using server
Carry packet, such as " 100.JSBundle packet needs to preload ".When user opens APP, 100.JSBundle is preloaded, in this way
When user opens the page in 100.JSBundle, so that it may directly open, it is clear without downloading the page from server end again
It lookes at and needs time for waiting long, but be not that basis preloads packet if the page that this user opens
100.JSBundle's, but when the page in 101.JSBundle, then need first to load 101.JSBundle to memory, then open up
Show the page, it will be more many slowly than the 100.JSBundle speed not preloaded.
Further, the user individual behavioral data browses number by the user's history recorded to the user terminal
According to carrying out analysis generation.User terminal record user's history browsing data after, server can be reported to, can also first to
After family historical viewings data are analyzed, it is reported to server again after generating user individual behavioral data.
Still further, analyzing the use habit of the user based on user's history browsing data, the user is
The user of user terminal thus, certain same user terminal can also have multiple and different users to log in different accounts, then distinguish
The form record user's history of account browses data, and analyzes user's use habit of corresponding different accounts, thus according to institute
The use habit for stating each user generates each user individual behavioral data.
Specifically, the preloading packet generation unit 230, is also used to, and browsing data and the use are recommended by the group
Family personalization behavioral data does weighted calculation, is determined for compliance with the personalized preloading scheme of the user；Individual character according to the user
Change and preloads schemes generation personalization preloading packet.
As an implementation, the system, further includes: general preloading scheme unit, for obtaining each user
The personalized preloading scheme for each user that terminal uploads recommends browsing data to update general preloading scheme in conjunction with group.
Further, the method also includes: obtain the personalized preloading side of each user of each user terminal uploads
Case recommends browsing data to update general preloading scheme in conjunction with group.
Wherein, " 101.JSBundle needs to preload " this individuation data is uploaded to server by above-mentioned user.
After server gets individuation data, recommends browsing data, the i.e. data of other users in conjunction with group, counted by weighting
It calculates, it can be deduced that the preloading scheme that different user group is applicable in, to constantly improve general preloading scheme.
Specifically, the issuing unit 240 are also used to, the user behavior data after being preloaded according to user terminal,
Determine the feedback information of the personalized preloading scheme；The feedback information adjusts the personalized of the user terminal and preloads
Scheme.
As an implementation, if some user, 90% or more operation is opened in 101.JSBundle
The page, and the page frequency opened from 100.JSBundle is less, and here it is the use habits of this user.Get this
It after the habit of a user, to " 100.JSBundle packet needs to preload " this information got off is issued, modifies, modifies
It is used as feedback information for " 101.JSBundle needs to preload ", and then dynamic adjusts the personalized pre-add of the user terminal
Load scheme.
The flow chart in scene is preloaded in the page referring to FIG. 3, applying according to one embodiment of the application, to the application's
Method and system is described further.
User terminal 301 and 302 is the user terminal that uses of new registration, user terminal 303,304,305 ..., user
Terminal n is all the user terminal in use, and server 310 carries out data transmission with above-mentioned each user terminal, is collected each
The User Page that user terminal reports browses record, such as the collection of period or real-time, and the User Page browsing record is
The page browsing record and/or path locus generated when by each terminal user using application, thus, it can be received in server
Collect each user terminal reports information, summarizes to obtain group of subscribers behavioral data, since user terminal 301 and 302 is new uses
Family terminal, there are no User Page browsings to record herein, thus its group of subscribers behavioral data by user terminal 303,304,
305 ... user terminal n summarize to obtain.
The group of subscribers behavioral data that analysis 303,304,305 ... user terminal n of user terminal summarizes, into
One step obtains the User Page browse path of corresponding 303,304,305 ... n, counts the wherein high content pages of pageview accounting
Face is sorted from high to low, chooses highest a part of content page, and group can be obtained according to these content pages and recommend browsing
Data.
Recommend browsing data based on above-mentioned group, a basis can be directly generated and preload packet, such as
It is preloaded 100.JSBundle the basis is preloaded packet and is issued to the user terminal 301 and 302 that new registration is applied,
Recommend new user 301 and 302 is the higher page of pageview that other users 303 ... report.
Further, new user terminal 301 is during using using APP, the basic pre-add issued using server
Carry packet, such as " 100.JSBundle packet needs to preload ".When user opens APP, 100.JSBundle is preloaded, in this way
When user terminal 301 opens the page in 100.JSBundle, so that it may directly open, without being downloaded again from server end
The page, the time that browsing needs to wait is long, is not that basis preloads packet if the page that user terminal 302 is opened
100.JSBundle's, but when the page in 101.JSBundle, then need first to load 101.JSBundle to memory, then open up
Show the page, it will be more many slowly than the 100.JSBundle speed not preloaded.
As an implementation, server 310 in addition to obtain user terminal 303, user terminal 304 ..., user it is whole
The user individual behavioral data that the user individual behavioral data that end n is reported, also acquisition user terminal 301 and 302 report；Its
In, the user individual behavioral data browses data by the user's history recorded to the user terminal and carries out analysis life
At.Further, the use habit of the user is analyzed based on user's history browsing data.Wherein, user terminal is found
302 in 90% or more operation be all the page opened in 101.JSBundle, and the page opened from 100.JSBundle
Frequency is less, and here it is the use habits of this user.After user terminal 302 gets the habit of this user, given under
" 100.JSBundle packet needs to preload " this information come, modifies, and is revised as that " 101.JSBundle needs pre-add
It carries ".
User terminal 302 is incited somebody to action " 101.JSBundle, need to preload " this individuation data, it is uploaded to server.Clothes
After business device gets individuation data, in conjunction with the data of other users, pass through analytical calculation, it can be deduced that different user group institute
Applicable preloading scheme, to constantly improve general preloading scheme.
Based on this understanding, server relevant to the application realization one embodiment of the above method comprising processing
Device and memory, memory are configured to store the processing routine of each step of an embodiment of the above method, and processor is then matched
It sets for executing the program stored in the memory.
Based on this understanding, the application realizes all or part of the process in an embodiment of the above method, can also be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a computer-readable storage
In medium, the computer program is when being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, described
Computer program includes computer program code, the computer program code can for source code form, object identification code form,
Executable file or certain intermediate forms etc..The computer-readable medium may include: that can carry the computer program
Any entity or device of code, medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunications letter
Number and software distribution medium etc..It should be noted that the content that the computer-readable medium includes can be managed according to the administration of justice
Local legislation and the requirement of patent practice carry out increase and decrease appropriate, such as in certain jurisdictions, according to legislation and patent
Practice, computer-readable medium does not include electric carrier signal and telecommunication signal.
Although the preferred embodiment of the application has been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of this specification range.Obviously, those skilled in the art can be to this Shen
Various modification and variations please be carry out without departing from spirit and scope.If in this way, these modifications and change of the application
Type belongs within the scope of the claim of this application and its equivalent technologies, then the application is also intended to encompass these modification and variations and exists
It is interior.
Claims (20)
1. a kind of personal page pre-add support method based on user behavior, comprising:
Analysis group of subscribers behavioral data obtains group and recommends browsing data；
Obtain the user individual behavioral data that user terminal reports；
Browsing data and the user individual behavioral data are recommended to generate personalized preloading packet based on the group；
The personalized preloading packet is issued to the user terminal to preload.
2. the method as described in claim 1, the group of subscribers behavioral data includes the user page reported from each user terminal
Face browsing record.
3. the method as described in claim 1, the analysis group of subscribers behavioral data obtains group and recommends browsing data, into one
Step includes:
It analyzes the group of subscribers behavioral data and obtains each User Page browse path；
Count the content page that pageview accounting is high in each User Page browse path；
The group, which is obtained, according to the content page recommends browsing data.
4. the method as described in claim 1, further includes:
Recommend browsing data to generate basis based on the group and preloads packet；
The user terminal that the basis preloading packet is issued to new registration application is preloaded.
5. the method as described in claim 1, the user individual behavioral data passes through the use that records to the user terminal
Family historical viewings data carry out analysis generation.
6. method as claimed in claim 5, the user individual behavioral data passes through the use that records to the user terminal
Family historical viewings data carry out analysis generation, further comprise:
The use habit of the user is analyzed based on user's history browsing data；
The user individual behavioral data is generated according to the use habit of the user.
7. the method as described in claim 1, described to recommend browsing data and the user individual behavior based on the group
Data generate personalized preload and wrap, and further comprise:
Recommend browsing data and the user individual behavioral data to do weighted calculation the group, is determined for compliance with the user's
Personalized preloading scheme；
Personalized according to the user preloads the preloading packet of personalization described in schemes generation.
8. the method for claim 7, further includes:
The personalized preloading scheme for obtaining each user of each user terminal uploads recommends browsing data more in conjunction with the group
New general preloading scheme.
9. method according to claim 8, described that the personalized packet that preloads is issued to the user terminal progress in advance
Load further comprises:
User behavior data after being preloaded according to the user terminal determines the feedback of the personalized preloading scheme
Information；
The feedback information adjusts the personalized preloading scheme of the user terminal.
10. a kind of personal page Preload system based on user behavior, comprising:
Group behavior analytical unit obtains group's recommendation browsing data for analyzing group of subscribers behavioral data；
Personalized behavior unit, the user individual behavioral data reported for obtaining user terminal；
Packet generation unit is preloaded, for recommending browsing data and the user individual behavioral data to generate according to the group
Personalization preloads packet；
Issuance unit is preloaded for the personalized preloading packet to be issued to the user terminal.
11. system as claimed in claim 10, the group of subscribers behavioral data includes the user reported from each user terminal
Page browsing record.
12. system as claimed in claim 10, the group behavior analytical unit is also used to,
It analyzes the group of subscribers behavioral data and obtains each User Page browse path；
Count the content page that pageview accounting is high in each User Page browse path；
The group, which is obtained, according to the content page recommends browsing data.
13. system as claimed in claim 10, the preloading packet generation unit is also used to,
Recommend browsing data to generate basis according to the group and preloads packet；
The user terminal that the basis preloading packet is issued to new registration application is preloaded.
14. system as claimed in claim 10, the user individual behavioral data is by recording the user terminal
User's history browsing data carry out analysis generation.
15. system as claimed in claim 14, it is clear that the user individual behavioral data is based further on the user's history
Data of looking at are analyzed to obtain the use habit of the user, generate further according to the use habit of the user.
16. system as claimed in claim 10, the preloading packet generation unit is also used to,
Recommend browsing data and the user individual behavioral data to do weighted calculation the group, is determined for compliance with the user's
Personalized preloading scheme；
Personalized according to the user preloads the preloading packet of personalization described in schemes generation.
17. system as claimed in claim 16, further includes:
General preloading scheme unit, the personalized preloading scheme of each user for obtaining each user terminal uploads, knot
Closing the group recommends browsing data to update general preloading scheme.
18. system as claimed in claim 17, the issuing unit are also used to,
User behavior data after being preloaded according to the user terminal determines the feedback of the personalized preloading scheme
Information；
The feedback information adjusts the personalized preloading scheme of the user terminal.
19. a kind of server, including processor and memory:
The memory is used to store the program that perform claim requires any one of 1 to 9 the method；
The processor is configured to for executing the program stored in the memory.
20. a kind of computer readable storage medium, is stored with computer program, which is characterized in that the program is held by processor
The step of any one of claims 1 to 9 the method is realized when row.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910181665.XA CN109918150A (en) | 2019-03-11 | 2019-03-11 | A kind of personal page preloading method and system based on user behavior |
Applications Claiming Priority (1)
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