CN103595747A - User-information recommending method and system - Google Patents
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- CN103595747A CN103595747A CN201210292338.XA CN201210292338A CN103595747A CN 103595747 A CN103595747 A CN 103595747A CN 201210292338 A CN201210292338 A CN 201210292338A CN 103595747 A CN103595747 A CN 103595747A
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Abstract
The invention provides a user-information recommending method and system. The method includes: acquiring a current user identification and webpage access information corresponding to the current user identification through a browser; uploading the current user identification and the webpage access information corresponding to the current user identification to a network server; and acquiring user information returned by the network server according to the webpage access information corresponding to the current user identification, wherein the user information matches the current user identification. The system includes: an access acquisition module used for acquiring the current user identification and the webpage access information corresponding to the current user identification; an uploading module used for uploading the current user identification and a webpage corresponding to the current user identification to the network server; and an information acquisition module used for acquiring the user information returned by the network server according to the webpage access information corresponding to the current user identification, wherein the user information matches the current user identification. Through adoption of the user-information recommending method and system, occupied resources can be reduced.
Description
Technical field
The present invention relates to Internet technology, particularly relate to a kind of user profile recommend method and system.
Background technology
Flourish along with social networks application in the Internet, social networks is applied as user various customer relationships is provided, and user can set up good friend's relation with corresponding user according to the user profile of recommending in social networks application.Concrete, social networks application is related to that according to various scene obtains user profile, so by the user information revealing obtaining in the interactive interface of social networks application to facilitate user to choose, and set up good friend's relation with the corresponding user of the user profile of choosing.For example, based on actual life interpersonal relationships, this is related to scene user profile to obtain can to carry out data mining according to the information of user input and existing good friend's relation, and recommends; Also can be using current residing geographical position as being related to that scene obtains the corresponding user profile of other users in similar or close geographical position to user, and then to user, recommend the user profile that obtains; User's speech that can also be based on similar or attribute etc. are related to that scene extracts the user profile for recommending, thereby facilitate user apply by social networks the expansion good friend's relation more and more widely of setting up.
The social networks application that user uses comprises desktop client end and webpage client, in social networks application, obtain the user profile of recommendation and set up in the process of customer relationship and need to load extraly corresponding customer terminal webpage, for example, for the social networks application existing with desktop client end form, desktop client end need to be installed extraly, and can enough get the user profile of recommendation after successfully loading the desktop client end of installing, and set up good friend's relation; For the social networks application existing with webpage client form, need user's load networks client in browser, and enter corresponding Webpage and just can get the user profile of recommendation, and then set up good friend's relation according to the user profile of recommending.Yet, because user has usually used multiple social networks application simultaneously, this will cause user to have to install a plurality of desktop client ends, or load the recommendation that a plurality of webpage clients can realize user profile, make the operation of social networks application take more resource.
Summary of the invention
Based on this, provide a kind of user profile recommend method that can reduce the resource taking.
In addition, be also necessary to provide a kind of user profile commending system that can reduce the resource taking.
A recommend method, comprises the steps:
By browser, obtain active user sign and active user identifies corresponding web page access information;
To the webserver, upload described active user sign and active user identifies corresponding web page access information;
Obtaining the webserver identifies corresponding web page access information according to active user and returns to the user profile matching with active user sign.
A commending system, comprises browser, and described browser comprises:
Access acquisition module, identifies corresponding web page access information for obtaining active user's sign and active user;
Upper transmission module, identifies corresponding webpage for upload active user's sign and active user to the webserver;
Acquisition of information module, identifies corresponding web page access information according to active user and returns to the user profile matching with active user sign for obtaining the webserver.
Above-mentioned user profile recommend method and system, browser obtains active user's sign and active user identifies corresponding web page access information, and upload in the webserver, the webserver obtains user profile according to web page access information, and the user profile obtaining to user's recommendation according to active user's sign, do not need running client extraly can realize the recommendation of user profile, reduced the shared resource of user profile recommendation process.
Accompanying drawing explanation
Fig. 1 is the flow chart of user profile recommend method in an embodiment;
Fig. 2 obtains by browser the method flow diagram that active user sign and active user identify corresponding web page access information in an embodiment;
Fig. 3 in an embodiment carries out the network access information of uploading and the network access information of storing in the webserver similitude processing to obtain the corresponding user profile of the network access information similar to the network access information of uploading, and the method flow diagram of recommending according to active user's sign;
Fig. 4 is the structural representation of browser in an embodiment;
Fig. 5 accesses the structural representation of acquisition module in an embodiment;
Fig. 6 is the structural representation of user profile commending system in another embodiment;
Fig. 7 is the structural representation of the webserver in an embodiment.
Embodiment
As shown in Figure 1, in one embodiment, a kind of user profile recommend method, comprises the steps:
Step S110, obtains active user sign and active user identifies corresponding web page access information by browser.
In the present embodiment, the access behavior that web page access information carries out webpage by browser for recording user.Active user is designated user ID current logined in browser, for unique identification user identity, user, by browser, carrying out the resulting web page access information of web page access identifies corresponding with active user, therefore, when getting active user's sign and web page access information by browser, web page access information and active user's sign are associated.
In another embodiment, the step of the time of staying that also comprises webpage, access time and the webpage of record access before above-mentioned steps S110.
In the present embodiment, user, by the process of browser access webpage, browser will record current accessed webpage, access time and the user time of staying at this webpage.Concrete, the webpage of access carries out record by the form with web page address, also can pass through other form record.For there is the corresponding time point of this web page access behavior in the access time.User accumulated and adds up in the time of staying of this webpage, that cumulative statistics user opens a certain Webpage until close the spent time of this Webpage, for example, user is by browser access webpage A, open the page of webpage A until to close the spent time be 10 minutes, so, now the time of staying of webpage A will be counted 10 minutes; If user opens the page of webpage A again in this browser, and be again opened into that to close the spent time be 20 minutes, now, the time of staying of webpage A will become 10 minutes and 20 minutes sums, 30 minutes.
As shown in Figure 2, in another embodiment, the detailed process of above-mentioned steps S110 is:
Step S111, the login identifying by active user triggers browser and according to the access time, from the webpage of record with the time of staying of webpage, extracts the webpage of accessing in Preset Time interval and the time of staying of webpage.
In the present embodiment, obtain the login behavior of active user in browser, and according to login behavior, in browser, realize the login of active user's sign.Now, the time of staying that the login of active user's sign is obtained webpage and the webpage of record by triggering browser, the webpage getting and corresponding access time of the time of staying of webpage will meet Preset Time interval.
Concrete, regular hour scope has been indicated at Preset Time interval, so that accessing, the corresponding active user of the webpage obtaining must betide before current point in time in certain hour scope, for example, Preset Time is spaced apart 3 days, and the webpage obtaining is that active user accesses for nearest 3 days.
Step S113, obtains active user's sign of login.
Step S115, extracts the webpage recording according to the size order of the time of staying, and according to the webpage generating web page visit information extracting.
In the present embodiment, the webpage obtaining and in the time of staying of webpage, carries out the extraction of webpage according to the time of staying, to obtain a predetermined number corresponding webpage of the higher time of staying.Concrete, because the webpage of each record is all corresponding with the time of staying, therefore, can to the webpage of record, extract according to the order from big to small from the time of staying, and then generating web page visit information, wherein, web page access information has comprised the information such as the corresponding web page address of webpage.
Step S130, uploads active user sign and active user identifies corresponding web page access information to the webserver.
In the present embodiment, the webserver on browser and backstage carries out data interaction, and active user's sign of the web page access information obtaining and login is uploaded in the webserver.
Step S150, obtains the webserver and according to active user, identifies corresponding web page access information and return to the user profile matching with active user sign.
In the present embodiment, at browser, to the webserver, uploaded after active user sign and active user identify corresponding web page access information, the webserver by according to the active user sign of uploading and web page access information, process to obtain to the user ID of uploading under similar other users of user, and then return to these and the active user who uploads identifies the similar corresponding user profile of other users of affiliated user to browser corresponding to the user ID of uploading.
Further, active user can view by browser the user profile that the webserver returns, thereby sets up good friend's relation by user profile and other user.Now, because good friend's relation is based on active user, the access behavior of internet to be set up, be not limited in geographical position, attribute etc. and be related to scene, and under the effect of browser, do not need the extra new client of installing, realized more neatly the expansion of good friend's relation.
For example, in this social networks application of traditional microblogging, usually according to user's attribute or the famous person that applied equally this social networks application, carry out the propelling movement of user profile, therefore, for user, conventionally only can pay close attention to the famous person who there are other domestic consumers of identical social property and applied this social networks application, in this case, because paying close attention to famous person, user is actually a unidirectional relation, so can't mutually set up good friend's relation between user and famous person, user and domestic consumer have been there is, between famous person and famous person, just can set up good friend's relation, between user and famous person and between the user domestic consumer not identical with social property, be difficult to set up good friend's relation, limited the expansion of good friend's relation.
Yet, in above-mentioned user profile is recommended, needing only between the user who possesses similar access behavior in internet and all likely set up good friend's relation, this will be conducive to set up good friend's relation more and more widely, improve the flexibility that user profile is recommended.
In another embodiment, before above-mentioned steps S150, also comprise:
The network access information of uploading and the network access information of storing in the webserver are carried out to similitude processing and obtain the corresponding user profile of the network access information similar to the network access information of uploading, and recommend according to active user's sign.
In the present embodiment, take network access information as according to carrying out the screening of user profile, with the active user to having uploaded network access information, recommend to screen the user profile obtaining.Concrete, webserver stores the network access informations uploaded of a plurality of users, when receiving the network access information that user uploads by browser, to the network access information from storage, filter out the network access information similar to the network access information of uploading, and then obtain corresponding user profile according to the network access information of selecting out, to upload the user of network access information to this, recommend.
Concrete, the screening process essence of network access information is the similitude processing procedure between network access information.Network access information can comprise web page address, can also comprise the out of Memory such as the corresponding time of staying, and this will set as required.According to the similarity degree between the network access information of uploading and the network access information of webserver stores, obtain the network access information that similarity is higher, and then obtain the user profile comparatively similar to user.
As shown in Figure 3, in another embodiment, above-mentionedly the network access information of uploading and the network access information of storing in the webserver are carried out to similitude processes and to obtain the corresponding user profile of the network access information similar to the network access information of uploading, and the detailed process of recommending according to active user's sign is:
Step S210, obtains the web page access information of storing in the webserver.
In the present embodiment, in the webserver, stored the web page access information of mass users, this web page access information and user profile corresponding stored.
Step S230, carry out that similitude calculates the web page access information of storage and the web page access information uploaded between similarity.
In the present embodiment, the detailed process of above-mentioned steps S230 is: the web page access information to each storage, add up one by one the number that has comprised same web page with the web page access information of uploading, it is the number of same web page address, and calculate the web page access information of storage and the web page access information uploaded in total webpage number, and then the business between the number by statistics and total webpage number can obtain the web page access information of this storage and the web page access information uploaded between similarity.A similarity that the web page access information of each storage is all corresponding, according to similarity can know the web page access information of storage and the web page access information uploaded between similarity degree.This similitude is calculated comparatively simple, can not take more resource, and also be conducive to improve processing speed.
In addition, the similitude between the web page access information of storage and the web page access information of uploading is calculated and is not limited in, and also can adopt some other complicated a little account form, further to improve accuracy.For example, also can analyze the residing last layer domain name of web page address in web page access information, to obtain having accessed the user profile of this last layer domain name simultaneously, the corresponding user of this user profile is similar to the user who has uploaded web page access information.
In addition, web page access information can also comprise the time of staying of webpage, so simultaneously with time of staying of webpage according to participating in during similitude calculates, do not repeat them here.
Step S250, according to the user profile under the web page access information of the size order extraction storage of similarity.
In the present embodiment, according to similarity order from big to small, obtain setting the web page access information of quantity, and then obtain corresponding user profile according to the web page access information obtaining.
Step S270, identifies the user profile of recommending extraction according to the active user who uploads.
In the present embodiment, the user who obtains is believed and oneself according to active user's sign of uploading, recommended, now, the browser of having uploaded active user's sign will receive the user profile of webserver recommendation, and be shown in browser interface, so that user chooses the user profile showing, and then set up good friend's relation.
During above-mentioned user profile is recommended, according to user's access behavior to internet in browser, it is the recommendation that the overlapping degree of browsing page is realized user profile, this access behavior of user has in fact also embodied the situation of the aspects such as interest, focus, and then the user profile that makes the to recommend intention of being more close to the users.
As shown in Figure 4, in one embodiment, a kind of user profile commending system, comprises browser 10.This browser 10 comprises access acquisition module 110, upper transmission module 130 and acquisition of information module 150.
In the present embodiment, the access behavior that web page access information is undertaken by 10 pairs of webpages of browser for recording user.Active user is designated user ID current logined in browser 10, for unique identification user identity, user, by browser 10, carrying out the resulting web page access information of web page access identifies corresponding with active user, therefore, access acquisition module 110, when getting active user's sign and web page access information, is associated web page access information and active user's sign.
In another embodiment, above-mentioned browser 10 also comprises logging modle.This logging modle is for the time of staying of webpage, access time and the webpage of record access.
In the present embodiment, user, by the process of browser 10 accessed web pages, logging modle will record current accessed webpage, access time and the user time of staying at this webpage.Concrete, the webpage of access carries out record by the form with web page address, also can pass through other form record.For there is the corresponding time point of this web page access behavior in the access time.User accumulated and adds up in the time of staying of this webpage, that cumulative statistics user opens a certain Webpage until close the spent time of this Webpage, for example, user is by browser 10 accessed web page A, open the page of webpage A until to close the spent time be 10 minutes, so, now the time of staying of webpage A will be counted 10 minutes; If user opens the page of webpage A again in this browser 10, and be again opened into that to close the spent time be 20 minutes, now, the time of staying of webpage A will become 10 minutes and 20 minutes sums, 30 minutes.
As shown in Figure 5, in one embodiment, above-mentioned access acquisition module 110 comprises and records extraction unit 111 and information generating unit 113.
In the present embodiment, obtain the login behavior of active user in browser 10, and according to login behavior, in browser 10, realize the login of active user's sign.Now, the login of active user's sign is obtained trigger recording extraction unit 111 time of staying of webpage and the webpage of record, and the webpage getting and corresponding access time of the time of staying of webpage will meet Preset Time interval.
Concrete, regular hour scope has been indicated at Preset Time interval, so that record the corresponding active user of webpage that extraction unit 111 obtains, access and must betide before current point in time in certain hour scope, for example, Preset Time is spaced apart 3 days, and the webpage obtaining is that active user accesses for nearest 3 days.
In the present embodiment, the webpage that information generating unit 113 is obtained and in the time of staying of webpage, carries out the extraction of webpage according to the time of staying, to obtain a predetermined number corresponding webpage of the higher time of staying.Concrete, because the webpage of each record is all corresponding with the time of staying, therefore, information generating unit 113 can be extracted the webpage of record according to the order from big to small from the time of staying, and then generating web page visit information, wherein, web page access information has comprised the information such as the corresponding web page address of webpage.
In the present embodiment, browser 10 carries out data interaction with the webserver on backstage, and upper transmission module 130 uploads to active user's sign of the web page access information obtaining and login in the webserver.
Acquisition of information module 150, identifies corresponding web page access information according to active user and returns to the user profile matching with active user sign for obtaining the webserver.
In the present embodiment, at upper transmission module 130, to the webserver, uploaded after active user sign and active user identify corresponding web page access information, the webserver by according to the active user sign of uploading and web page access information, process to obtain to the user ID of uploading under similar other users of user, and then return to these and the active user who uploads identifies the similar corresponding user profile of other users of affiliated user to browser 10 corresponding to the user ID of uploading.
Further, active user can view by browser 10 user profile that the webserver returns, thereby sets up good friend's relation by user profile and other user.Now, because good friend's relation is based on active user, the access behavior of internet to be set up, be not limited in geographical position, attribute etc. and be related to scene, and under the effect of browser 10, do not need the extra new client of installing, realized more neatly the expansion of good friend's relation.
For example, in this social networks application of traditional microblogging, usually according to user's attribute or the famous person that applied equally this social networks application, carry out the propelling movement of user profile, therefore, for user, conventionally only can pay close attention to the famous person who there are other domestic consumers of identical social property and applied this social networks application, in this case, because paying close attention to famous person, user is actually a unidirectional relation, so can't mutually set up good friend's relation between user and famous person, user and domestic consumer have been there is, between famous person and famous person, just can set up good friend's relation, between user and famous person and between the user domestic consumer not identical with social property, be difficult to set up good friend's relation, limited the expansion of good friend's relation.
Yet, in above-mentioned user profile is recommended, needing only between the user who possesses similar access behavior in internet and all likely set up good friend's relation, this will be conducive to set up good friend's relation more and more widely, improve the flexibility that user profile is recommended.
As shown in Figure 6, in another embodiment, above-mentioned user profile commending system has also comprised the webserver 30.
The webserver 30, for the network access information of the network access information of uploading and storage is carried out to similitude processing, obtains the corresponding user profile of the network access information similar to the network access information of uploading, and recommends according to active user's sign.
In the present embodiment, the webserver 30 be take network access information as according to carrying out the screening of user profile, with the active user to having uploaded network access information, recommends to screen the user profile obtaining.Concrete, the webserver 30 has been stored the network access information that a plurality of users upload, when receiving the network access information that user uploads by browser 10, to the network access information from storage, filter out the network access information similar to the network access information of uploading, and then obtain corresponding user profile according to the network access information of selecting out, to upload the user of network access information to this, recommend.
Concrete, the screening process essence of network access information is the similitude processing procedure between network access information.Network access information can comprise web page address, can also comprise the out of Memory such as the corresponding time of staying, and this will set as required.According to the similarity degree between the network access information of uploading and the network access information of the webserver 30 storages, obtain the network access information that similarity is higher, and then obtain the user profile comparatively similar to user.
As shown in Figure 7, in one embodiment, the above-mentioned webserver 30 comprises storage acquisition module 310, similarity computing module 330, information extraction modules 350 and recommending module 370.
Storage acquisition module 310, for obtaining the web page access information of storage.
In the present embodiment, in the webserver 30, stored the web page access information of mass users, this web page access information and user profile corresponding stored.
Similar computing module 330, for carry out that similitude calculates the web page access information of storage and the web page access information uploaded between similarity.
In the present embodiment, the web page access information of similar computing module 330 to each storage, add up one by one the number that has comprised same web page with the web page access information of uploading, it is the number of same web page address, and calculate the web page access information of storage and the web page access information uploaded in total webpage number, and then the business between the number by statistics and total webpage number can obtain the web page access information of this storage and the web page access information uploaded between similarity.A similarity that the web page access information of each storage is all corresponding, according to similarity can know the web page access information of storage and the web page access information uploaded between similarity degree.This similitude of similar computing module 330 is calculated comparatively simple, can not take more resource, and also be conducive to improve processing speed.
In addition, the similitude between the web page access information of storage and the web page access information of uploading is calculated and is not limited in, and similar computing module 330 also can adopt some other complicated a little account form, further to improve accuracy.For example, similar computing module 330 also can be analyzed the residing last layer domain name of web page address in web page access information, to obtain having accessed the user profile of this last layer domain name simultaneously, the corresponding user of this user profile is similar to the user who has uploaded web page access information.
In addition, web page access information can also comprise the time of staying of webpage, so simultaneously with time of staying of webpage according to participating in during similitude calculates, do not repeat them here.
Information extraction modules 350, for the user profile under the web page access information of storing according to the size order extraction of similarity.
In the present embodiment, information extraction modules 350 obtains setting the web page access information of quantity according to similarity order from big to small, and then obtains corresponding user profile according to the web page access information obtaining.
Recommending module 370, identifies the user profile of recommending extraction for the active user according to uploading.
In the present embodiment, the user who obtains is believed and oneself according to active user's sign of uploading, recommended, now, the browser 10 of having uploaded active user's sign will receive the user profile of the webserver 30 recommendations, and be shown in browser interface, so that user chooses the user profile showing, and then set up good friend's relation.
During above-mentioned user profile is recommended, according to user's access behavior to internet in browser 10, it is the recommendation that the overlapping degree of browsing page is realized user profile, this access behavior of user has in fact also embodied the situation of the aspects such as interest, focus, and then the user profile that makes the to recommend intention of being more close to the users.
Above-mentioned user profile recommend method and system, browser obtains active user's sign and active user identifies corresponding web page access information, and upload in the webserver, the webserver obtains user profile according to web page access information, and the user profile obtaining to user's recommendation according to active user's sign, do not need running client extraly can realize the recommendation of user profile, reduced the shared resource of user profile recommendation process.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method, to come the hardware that instruction is relevant to complete by computer program, described program can be stored in a computer read/write memory medium, this program, when carrying out, can comprise as the flow process of the embodiment of above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a user profile recommend method, comprises the steps:
By browser, obtain active user sign and active user identifies corresponding web page access information;
To the webserver, upload described active user sign and active user identifies corresponding web page access information;
Obtaining the webserver identifies corresponding web page access information according to active user and returns to the user profile matching with active user sign.
2. user profile recommend method according to claim 1, is characterized in that, describedly also comprises before obtaining by browser the step that active user sign and active user identify corresponding web page access information:
The time of staying of the webpage of record access, access time and described webpage.
3. user profile recommend method according to claim 2, is characterized in that, describedly by browser, obtains the step that active user sign and active user identify corresponding web page access information and is:
The login that identifies by described active user triggers browser and according to the described access time, from the webpage of record with the time of staying of described webpage, extracts the webpage of accessing in Preset Time interval and the time of staying of described webpage;
Obtain active user's sign of described login;
According to the size order of the described time of staying, extract the webpage of record, and according to the webpage generating web page visit information of described extraction.
4. user profile recommend method according to claim 1, is characterized in that, described in obtain the webserver and also comprise before identifying according to active user the step that corresponding web page access information returns to the user profile matching with active user sign:
The network access information of storing in the network access information of uploading and the webserver is carried out to similitude processing, obtain the corresponding user profile of the network access information similar to the network access information of uploading, and recommend according to described active user's sign.
5. user profile recommend method according to claim 4, it is characterized in that, described the network access information of storing in the network access information of uploading and the webserver is carried out to similitude processing, obtain the corresponding user profile of the network access information similar to the network access information of uploading, and the step of recommending according to described active user's sign is:
Obtain the web page access information of storing in the webserver;
Carry out similitude calculate described storage web page access information and described in similarity between the web page access information uploaded;
According to the size order of described similarity, extract the user profile under the web page access information of described storage;
According to the described active user who uploads, identify the user profile of recommending described extraction.
6. a user profile commending system, is characterized in that, comprises browser, and described browser comprises:
Access acquisition module, identifies corresponding web page access information for obtaining active user's sign and active user;
Upper transmission module, identifies corresponding webpage for upload active user's sign and active user to the webserver;
Acquisition of information module, identifies corresponding web page access information according to active user and returns to the user profile matching with active user sign for obtaining the webserver.
7. user profile commending system according to claim 6, is characterized in that, described browser also comprises:
Logging modle, for the time of staying of webpage, access time and the described webpage of record access.
8. user profile commending system according to claim 7, is characterized in that, described access acquisition module comprises:
Record extraction unit, for the login that identifies by described active user, trigger and extract the webpage of accessing in Preset Time interval and the time of staying of described webpage according to described access time from the webpage of record and the time of staying of described webpage, and obtain active user's sign of described login;
Information generating unit, for extract the webpage of record according to the size order of the described time of staying, and according to the webpage generating web page visit information of described extraction.
9. user profile commending system according to claim 6, is characterized in that, described system also comprises:
The webserver, for the network access information of the network access information of uploading and storage is carried out to similitude processing, obtain the corresponding user profile of the network access information similar to the network access information of uploading, and recommend according to described active user's sign.
10. user profile commending system according to claim 9, is characterized in that, the described webserver comprises:
Storage acquisition module, for obtaining the web page access information of storage;
Similar computing module, for carry out similitude calculate described storage web page access information and described in similarity between the web page access information uploaded;
Information extraction modules, for extracting the user profile under the web page access information of described storage according to the size order of described similarity;
Recommending module, for identifying the user profile of recommending described extraction according to the described active user who uploads.
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| CN104836707A (en) * | 2015-06-04 | 2015-08-12 | 郑州悉知信息技术有限公司 | User on-line status detection method and system, server and client |
| WO2015176652A1 (en) * | 2014-05-20 | 2015-11-26 | Tencent Technology (Shenzhen) Company Limited | Network service recommendation method and apparatus |
| WO2017113840A1 (en) * | 2015-12-31 | 2017-07-06 | 乐视控股（北京）有限公司 | Information recommending method and device |
| CN108337281A (en) * | 2017-01-19 | 2018-07-27 | 北京京东尚科信息技术有限公司 | Calculate the method and system of page browsing duration |
| CN112148957A (en) * | 2019-06-26 | 2020-12-29 | 北京百度网讯科技有限公司 | Webpage access data analysis method, device and equipment and readable storage medium |
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