CN103885967A - System, method and computer program for recommending Web content to user - Google Patents
System, method and computer program for recommending Web content to user Download PDFInfo
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- CN103885967A CN103885967A CN201210560266.2A CN201210560266A CN103885967A CN 103885967 A CN103885967 A CN 103885967A CN 201210560266 A CN201210560266 A CN 201210560266A CN 103885967 A CN103885967 A CN 103885967A
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- 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
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The invention relates to a system, a method and a computer program for recommending Web content to a user. In an embodiment, the method includes that the user directly accesses a webpage of a website, wherein the webpage contains links of multiple subpages; tracks that the user accesses the subpages through a landing page are all recorded; a webpage, maximum in page view, in the subpages is taken as a new landing page; the user is re-guided to the new landing page.
Description
Technical field
The present invention relates to web site contents association area, particularly aspect the recommendation of web site contents.
Background technology
A key point describing the behavior of user on webpage is to learn which content should recommend user.Use domain name is recommended, and user directly accesses homepage by network address, has a serious limitation like this, because a network address comprises a lot of different contents and will offer different colonies.Thisly comprise a large amount of different information, the website of similar news is quite general and typical.
The way that another one is traditional is to pass through search engine.Although this method effectively but need user to have a clear and definite search target.Another kind of way be provide most popular subdivision as the recommendation on webpage or session.Although effective equally, this method is bad determines what is most popular and needs user to go to browse these recommendations.Another method is the method that uses simple and easy information fusion.This method also needs user's manual identification and orders different services.Therefore need a more effective method to go to solve.
Summary of the invention
The invention relates to one for recommending system, method and the program of user website content.In an embodiment, user directly accesses the webpage of network address, and this webpage has covered the connection of multiple subpages.Then, user can go on record by the track that this logs in access to web page subpage.Then, in subpage the webpage of high access as the new page that logs in.End user will be re-directed to the new page that logs in.
In another embodiment, the access track of user on webpage all goes on record.In addition, at least one webpage is used as the user who accesses track based on user and likes webpage.Further, also must have at least a webpage to log in page as network address.In another embodiment, the track that in community, user accesses on webpage goes on record.Then select a webpage according to user's event trace.This webpage is recommended communities of users.
Brief description of the drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 describes a network architecture, corresponding with embodiment wherein.
Fig. 2 has described a typical system, corresponding with embodiment wherein.
Fig. 3 exhibition a system, for following the tracks of the access track of a large number of users, corresponding with embodiment wherein.
Fig. 4 has shown a system, for being automatically redirected a new page that logs in, corresponding with embodiment wherein.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making all other embodiment that obtain under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 has described a network structure 100, corresponding with an embodiment.As figure.Has a network 102 at least.In the environment of the network architecture 100, network 102 can be comprise following but be not limited to following form, for example communication network, LAN (Local Area Network), wireless network, peer-to-peer network, cable system etc.What be connected to network 102 is a large amount of equipment, as server 104, user terminal computer 106, PDA108, mobile phone 110, televisor 112 etc.
Fig. 2 has described a typical system 200.System 200 can realize in the network architecture of Fig. 1 100.Can certainly in any specific environment, realize.
As figure, system 200 has a central processing unit 202 and primary memory 204 (for example RAM) at least, also comprises a graphic process unit 206 and display 208.It can be hard disk, tape, floppy disk etc. that system also comprises the second memory device 210. memory devices 210.Fetch data by removable drive read.Computer program or computer control logic algorithm stores are at primary memory 204 or the second memory device 210.
User is directly by website visiting webpage in one embodiment, and this webpage comprises multiple subpages.Every one page comprises multiple interface (as graphical interface of user (GUI)).Website also comprises one and logs in page, and this logs in page is the starting point (as by network address access websites) that user accesses.Therefore, in an embodiment, a webpage is automatically pointed in user's access.In addition, user's access track can go on record.The subpage that visit capacity is maximum can be designated as the new page that logs in.Then the access meeting after user is led automatically again.
In one embodiment, the access track of user on webpage all goes on record.In addition, at least one webpage is used as the user who accesses track based on user and likes webpage.Further, also must have a webpage at least as network address homepage.In another embodiment, the track that in community, user accesses on webpage goes on record.Then select a webpage according to user's event trace.This webpage is recommended communities of users.
As mentioned above, determine that the method for website which part user prefers is that the browse mode in website obtains by study user.This method is identified the more interested website of user part automatically, the navigation path repeating by eliminating, this navigation path be user habit in order to arrive the track of interested content.This inspiration is the intelligent navigation that derives from portal website.
Web site contents commending system can recognitiion gate open air webpage URLs.For example a large amount of users accesses BBC website, but they may just enter then to browse the sub-pages such as tourism, cooking from identical homepage door.Therefore the not interest place of representative of consumer of homepage.
Except the content recommendation of identifying, URLs can be served as the basis of subscriber data.Conventionally, only the information paper based on web page browsing can comprise many incoherent network address webpages, and user's interest place is distinguished in impact.The such as portal website such as BBC, CNET can not tell we user's interest place.And relative, current method can be determined the interested part of user, such as the tourism part in BBC website.The content of these webpages does not need to analyze or understand, and is that the basis in order to go to form a data-----collaborative filtering system utilizes the general character of user and their historical record to go the content recommendation and the partner that have identified.
Further, the automatically URLs of Classification and Identification of web site contents commending system.Hobby by recording user on door, this system generates the type that a blueprint shows user.User information file on door is browsed different contents according to user and is set up.These contents can be got up with communities of users preference (UCPs) mark, as motion, music etc.These UCPs have represented the content type that user likes.Content-label helps URLs to classify.
In addition, this system can be distinguished personal like and group user preferences.In this way, it can recommend often individual or the inner website of access of this person to individual, even if find that this website liked by numerous user.
For the URLs of recognitiion gate open air is used for recommending to user, this system pays close attention to user's website inlet point or other guide is collected and the automatic and interested webpage of recessive study user, according to user's historical record and similar user's the record of browsing.System may be monitored randomly one group of user and go to determine which URLs is important to this group user.System can further be identified URLs and useful thing automatically.For example URLs requires to reach a visible levels of repetition could be recommended in group user.
As an option, web site contents commending system is only applicable to welcome and has a website of exact number webpage.This filtrator is identified welcome network address, and in the webpage of certain limit, this algorithm can reach optimal effectiveness.For example suppose that a territory X is selected, then, in this territory, page is all labeled and all links of leaving this webpage all can be labeled (seeing Fig. 3) in all logging in.
If a subpage is subject to user or user to organize welcome (as the number of browsing than other subpages exceedes some) most, this subpage becomes best inlet point so.This process can recursively circulate always, has multiple welcome subclasses until parent is found.
Give an example, if a user often accesses News.com, there is the link of many sub-pages this website.Then user mainly browses motion parts is football part.Then user selects the webpage of world cup.This webpage has the link of a series of sub-pages, but user is not interested but browse the webpage of other guide.First web site contents commending system starts as most popular inlet point using homepage.Then further find that user often browses motion webpage.Then this webpage becomes optimum inlet point and recommends user.This system is further analyzed and is learnt that user is often from this web page browsing football webpage.Then this webpage becomes again optimum inlet point and recommends user.This process continues to know that system arrives the webpage of world cup always, and at this moment system cannot further be upgraded because the sub-pages that user has not liked.This recursive procedure can tend towards stability after certain bout, as shown in Figure 4.Once the subclass that logs in page most popular is recommended, and they can become and log in page and their subclass also can be recommended.Certainly, subclass need to exceed necessarily degree of receiving an acclaim could be recommended.
Claims (19)
1. a non-volatile computer-readable medium comprises computer program, comprise: computer code is used for guiding user to enter logging in page, pass through URL, this logs in page and comprises a large amount of subpage links, the URLs of each link is different from and logs in page, and each subpage is website and be different from other sub-pages independently; Computer code is for following the tracks of user from logging in the access number of each subpage of access to web page; Computer code be used to specify one of them subpage that has high access as user new log in page, be that new to log in page be the inlet point of user's access websites, after the visit capacity of subpage wherein exceedes the some of other subpages, this subpage redesignated as the new page that logs in, and is wherein to realize for the track of browsing of the repetition that arrives object webpage and produce by getting rid of user; Computer code automatically again oriented users to the new page URL that logs in.
2. the non-volatile computer-readable medium in claim 1 also comprises that computer code is for utilizing the basis of the new subpage URL that logs in page as subscriber data configuration file.
3. the non-volatile computer-readable medium in claim 2, the URL that newly logs in the sub-pages of page understands automatic classification, by one or more types of identification user.
4. the non-volatile computer-readable medium in claim 3, the URL that newly logs in the sub-pages of page can automatically classify, and utilizes the directory tags that newly logs in page.
5. the non-volatile computer-readable medium in claim 1 also comprises that computer code is for automatically identifying URLs and useful thing according to user's historical record, and these are hidden for user.Be URLs require to reach a visible levels of repetition could be recommended in group user.
6. in the non-volatile computer-readable medium in claim 1, the sub-pages of wherein specifying is to calculate according to user's browsing history and other users' browsing history.
7. in the non-volatile computer-readable medium in claim 1, further comprise computer code for monitoring one group of user for determining this group user's important URLs.
8. in the non-volatile computer-readable medium in claim 1, further comprise the webpage quantity that can determine website.
9. in the non-volatile computer-readable medium in claim 8, further comprise webpage quantity and the threshold values quantity of comparison website.
10. in the non-volatile computer-readable medium in claim 9, the process of following the tracks of, specifying and being redirected is only just carried out when the webpage quantity of website exceedes certain threshold values.
In non-volatile computer-readable medium in 11. claims 9, to website, each logs in page execution to the process of following the tracks of, specifying and being redirected.
In non-volatile computer-readable medium in 12. claims 1, further comprise: computer code is for following the tracks of the activity of each user of community on website, and each community users is shared at least one identical interest; Computer code is for selecting one of them sub-pages according to User Activity, and the webpage of this selection exists in activity history file and will reach certain interested number of users; The webpage of computer code recommendations for selection is to community users.
In non-volatile computer-readable medium in 13. claims 1, further comprise computer code at least one the sub-pages URL that classify by following method: record hobby, utilize the hobby of multiple community users and the website and webpage of their access; Monitor the elapsed time of multiple users on web page contents; By this content of hobby mark of multiple community users; At least one the sub-pages URLs that classify utilizes content tab.
In non-volatile computer-readable medium in 14. claims 13, community's hobby has represented the interested content type of community users.
In non-volatile computer-readable medium in 15. claims 1, log in page and comprise homepage.
In non-volatile computer-readable medium in 16. claims 15, each sub-pages comprises a part instead of the homepage of website.
17. 1 kinds of methods, comprising: directly guide user to logging in page, by the mode of URL.This logs in the link that page comprises multiple sub-pages, and the URL of these sub-pages is different from and logs in a page UR1, and each sub-pages is to be independent of log in page and be different from other sub-pages; Follow the tracks of user by logging in the access number of other sub-pages of access to web page; Specify the sub-pages of one of them high access as the new page that logs in.What this was new logs in page is first webpage that user has just logged in, just this assignment procedure is only carried out when the access number of one of them sub-pages exceedes other webpage somes, has wherein got rid of user in order to arrive webpage unnecessary in the navigation path of destination; What be automatically redirected user new logs in the URL that page is sub-pages, after a series of access of user.
18. 1 systems, comprising: a hardware processor is for directly guiding user to logging in page, by the mode of URL.This logs in the link that page comprises multiple sub-pages, and the URL of these sub-pages is different from and logs in a page UR1, and each sub-pages is to be independent of log in page and be different from other sub-pages; Follow the tracks of user by logging in the access number of other sub-pages of access to web page; Specify the sub-pages of one of them high access as the new page that logs in.What this was new logs in page is first webpage that user has just logged in, just this assignment procedure is only carried out when the access number of one of them sub-pages exceedes other webpage somes, has wherein got rid of user in order to arrive webpage unnecessary in the navigation path of destination; What be automatically redirected user new logs in the URL that page is sub-pages, after a series of access of user.
System in 19. claims 18, processor is connected to storer by bus.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201210560266.2A CN103885967A (en) | 2012-12-20 | 2012-12-20 | System, method and computer program for recommending Web content to user |
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| CN201210560266.2A CN103885967A (en) | 2012-12-20 | 2012-12-20 | System, method and computer program for recommending Web content to user |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106663280A (en) * | 2014-08-15 | 2017-05-10 | 微软技术许可有限责任公司 | Auto recognition of acquirable entities |
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| JP2011108034A (en) * | 2009-11-18 | 2011-06-02 | Tokyo Institute Of Technology | Web page recommendation method using multiple attributes |
| CN102609474A (en) * | 2012-01-18 | 2012-07-25 | 北京搜狗信息服务有限公司 | Access information providing method and system |
| US8321793B1 (en) * | 2008-07-02 | 2012-11-27 | Amdocs Software Systems Limited | System, method, and computer program for recommending web content to a user |
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| US8321793B1 (en) * | 2008-07-02 | 2012-11-27 | Amdocs Software Systems Limited | System, method, and computer program for recommending web content to a user |
| CN102054004A (en) * | 2009-11-04 | 2011-05-11 | 清华大学 | Webpage recommendation method and device adopting same |
| JP2011108034A (en) * | 2009-11-18 | 2011-06-02 | Tokyo Institute Of Technology | Web page recommendation method using multiple attributes |
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| CN106663280A (en) * | 2014-08-15 | 2017-05-10 | 微软技术许可有限责任公司 | Auto recognition of acquirable entities |
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