CN105630868A

CN105630868A - Method and system for recommending contents to users

Info

Publication number: CN105630868A
Application number: CN201510937814.2A
Authority: CN
Inventors: 贾子健
Original assignee: Beijing Qihoo Technology Co Ltd; Qizhi Software Beijing Co Ltd
Current assignee: Beijing Qihoo Technology Co Ltd
Priority date: 2015-12-15
Filing date: 2015-12-15
Publication date: 2016-06-01
Anticipated expiration: 2035-12-15
Also published as: CN105630868B

Abstract

The invention discloses a method and system for recommending contents to users. The method comprises the following steps: determining the domain name or website name of a website currently browsed by a user; obtaining a website category corresponding to the domain name or website name; determining information of websites having competitive relation with the website currently browsed by the user under the website category; determining recommendation information recommended to the user and a target webpage corresponding to recommendation information according to the information of the websites having competitive relation with the website currently browsed by the user; displaying the recommendation information to the user at the status bar of a webpage currently browsed by the user in an entrance form; and when a trigger operation carried out by the user for the entrance, loading and displaying a target webpage corresponding to the recommendation information. According to the method and system disclosed in the invention, the contents recommended to the users cause relatively small interferences to the users, and moreover, the recommendation information and target webpages possibly having competitive relation with the websites currently browsed by the users can be effectively avoided.

Description

A kind of method and system to user's content recommendation

Technical field

The present invention relates to Internet technical field, in particular, relate to a kind of method and system to user's content recommendation.

Background technology

Web browser refers to HTML (HTML) file that can show web page server or file system, and allows the user's a kind of software with these file interactions.

It is used for the word, image and other information that are shown in WWW or LAN etc. These words or image, it is possible to being the hyperlink connecting other network address, user can browse rapidly and easily various information. Major part webpage is html format.

Existing web browser is generally adopted the mode of actively pop-up window to user's content recommendation, such as, when detecting that user signs in certain application website, load the content of this application website, can recommend to user's actively pop-up advertisement window etc. simultaneously, and the content of pop-up window is generally determined voluntarily by application website, user can only passively accept, often cause the interference to user, additionally, browser is except can loading various application website, browser self can also extend to user's recommended advertisements content, but the website that the content that in reality, browser self is recommended to user and user currently browse would be likely to occur competitive relation, needs are effectively evaded.

Summary of the invention

In view of the above problems, it is proposed that the present invention to provide a kind of a kind of method and system to user's content recommendation overcoming the problems referred to above or solving the problems referred to above at least in part,

According to one aspect of the present invention, it is provided that a kind of method to user's content recommendation, comprising:

Determine domain name or website name that user currently browses web sites;

Obtain this domain name or websites collection corresponding to website name;

Determining currently browses web sites with user under described websites collection exists the site information of competitive relation;

The site information of competitive relation is there is, it is determined that the recommendation information recommended to user and target web corresponding to this recommendation information according to described currently browse web sites with user;

The status bar currently browsing webpage user represents described recommendation information with the form of entrance to user;

When user being detected to the trigger action of described entrance, load and represent the target web corresponding with described recommendation information.

Alternatively, this domain name of described acquisition or websites collection corresponding to website name specifically include:

Using the websites collection table that this domain name or website name are preset as term inquiry, to obtain this domain name or websites collection corresponding to website name.

Alternatively, described directional user really recommends recommendation information and target web corresponding to this recommendation information include:

Obtain user and currently browse the relevant information of webpage;

Currently browse the relevant information of webpage according to described user, obtain corresponding with described relevant information can recommendation information and this recommendation information can be corresponding target web;

The site information of competitive relation is there is, from recommendation information rejecting the recommendation information that the website that there is competitive relation that currently browses web sites to user is relevant according to currently browsing web sites with user;

There is the site information of competitive relation according to currently browsing web sites with user, corresponding target web can reject the target web that the website that there is competitive relation that currently browses web sites to user is relevant from recommendation information;

The target web that consequently recommended information and this recommendation information can be corresponding is determined according to above-mentioned rejecting result.

Alternatively, described user currently browses the relevant information of webpage and includes: currently browse, from user, the key word extracted Webpage content; Or user currently browses the type of webpage of webpage; Or user currently browses the link network address of netpage user's mouse current location;

Described can include by recommendation information: the key word of extraction; Or the web page title relevant to the key word of this extraction or article are called for short; Or the web page title relevant to currently browsing type of webpage or article are called for short; Or be called for short for the key word of this link network address, web page title or article;

Described can include by corresponding target web: the webpage relevant to the key word extracted; Or the webpage relevant to currently browsing type of webpage or article; Or for the relevant webpage of the key word of this link network address; Or for the webpage of this link network address or article.

Alternatively, currently browse the status bar of webpage to represent described recommendation information to user include user:

Detection browser status bar state;

When detecting that browser status bar is in idle condition, just represent described recommendation information to user.

Alternatively, described browser status bar is in idle condition and includes current page loaded, and status bar does not load progress and shows; Or cursor of mouse focus is not in needing the position of the status bar display network address.

Alternatively, described recommendation information includes many groups, according to many group wheel broadcast modes, recommendation information is represented.

According to another aspect of the present invention, it is provided that a kind of system to user's content recommendation, comprising:

Domain name or website name determine processing module, are used for determining domain name or the website name that user currently browses web sites;

Websites collection obtains processing module, for obtaining this domain name or websites collection corresponding to website name;

Processing module is determined in competitive relation website, for determining currently to browse web sites with user under described websites collection there is the site information of competitive relation;

Recommendation information and target web determine processing module, for there is the site information of competitive relation according to described currently browse web sites with user, it is determined that the recommendation information recommended to user and target web corresponding to this recommendation information;

Representing processing module, the status bar for currently browsing webpage user represents described recommendation information with the form of entrance to user;

Loading processing module, for when user being detected to the trigger action of described entrance, loading and represent the target web corresponding with described recommendation information.

Alternatively, described domain name or website name determine that processing module is the websites collection table preset as term inquiry using this domain name or website name, to obtain this domain name or websites collection corresponding to website name.

Alternatively, described recommendation information and target web determine that processing module specifically includes:

First acquisition module, currently browses the relevant information of webpage for obtaining user;

Second acquisition module, for currently browsing the relevant information of webpage according to described user, obtain corresponding with described relevant information can recommendation information and this recommendation information can be corresponding target web;

First rejects module, for there is the site information of competitive relation according to currently browsing web sites with user, from rejecting, recommendation information, the recommendation information that the website that there is competitive relation that currently browses web sites to user is relevant;

Second rejects module, for there is the site information of competitive relation according to currently browsing web sites with user, can reject, corresponding target web, the target web that the website that there is competitive relation that currently browses web sites to user is relevant from recommendation information;

First determines module, for determining, according to above-mentioned rejecting result, the target web that consequently recommended information and this recommendation information can be corresponding.

Alternatively, the user that the first described acquisition module obtains currently browses the relevant information of webpage and includes: currently browse, from user, the key word extracted Webpage content; Or user currently browses the type of webpage of webpage; Or user currently browses the link network address of netpage user's mouse current location;

What the second acquisition module obtained can include by recommendation information: the key word of extraction; Or the web page title relevant to the key word of this extraction or article are called for short; Or the web page title relevant to currently browsing type of webpage or article are called for short; Or be called for short for the key word of this link network address, web page title or article;

What the second acquisition module obtained can include by corresponding target web: the webpage relevant to the key word extracted; Or the webpage relevant to currently browsing type of webpage or article; Or for the relevant webpage of the key word of this link network address; Or for the webpage of this link network address or article.

Alternatively, the described processing module that represents includes:

Detection module, is used for detecting browser status bar state;

Represent module, for when detecting that browser status bar is in idle condition, just representing described recommendation information to user.

Alternatively, described recommendation information includes many groups, described in represent module and according to many group wheel broadcast modes, recommendation information represented.

The method and system to user's content recommendation according to embodiments of the present invention, are determined by domain name or website name that user currently browses web sites; Obtain this domain name or websites collection corresponding to website name; Determining currently browses web sites with user under described websites collection exists the site information of competitive relation; The site information of competitive relation is there is, it is determined that the recommendation information recommended to user and target web corresponding to this recommendation information according to described currently browse web sites with user; The status bar currently browsing webpage user represents described recommendation information with the form of entrance to user; When user being detected to the trigger action of described entrance, load and represent the target web corresponding with described recommendation information, owing to being based on user's actively clicking trigger content recommendation rather than forcing pop-up window on webpage, therefore, the interference that user is caused is less, additionally, the site information of competitive relation is there is by thus according to currently browsing web sites with user, recommendation information that true directional user recommends and target web corresponding to this recommendation information, therefore, currently browse web sites with the user recommendation information that would be likely to occur competitive relation and target web can effectively be evaded.

Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, and can be practiced according to the content of description, and in order to above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.

Accompanying drawing explanation

By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit those of ordinary skill in the art be will be clear from understanding. Accompanying drawing is only for illustrating the purpose of preferred implementation, and is not considered as limitation of the present invention. And in whole accompanying drawing, it is denoted by the same reference numerals identical parts. In the accompanying drawings:

Fig. 1 illustrates according to an embodiment of the invention to the flow chart of the method for user's content recommendation;

Fig. 2 illustrates the schematic diagram representing recommendation information according to an embodiment of the invention in the method for user's content recommendation in browser status bar;

Fig. 3 illustrates according to an embodiment of the invention to the overall schematic of the system of user's content recommendation;

Fig. 4 illustrates the structural representation determining processing module according to an embodiment of the invention to recommendation information in the system of user's content recommendation and target web; And

Fig. 5 illustrates the structural representation representing processing module according to an embodiment of the invention in the system of user's content recommendation.

Detailed description of the invention

It is more fully described the exemplary embodiment of the disclosure below with reference to accompanying drawings. Although accompanying drawing showing the exemplary embodiment of the disclosure, it being understood, however, that may be realized in various forms the disclosure and should do not limited by embodiments set forth here. On the contrary, it is provided that these embodiments are able to be best understood from the disclosure, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.

It is according to an embodiment of the invention to the method flow diagram of user's content recommendation with reference to Fig. 1, this figure, the present embodiment mainly comprises the steps: to the method for user's content recommendation

Step S101, it is determined that domain name that user currently browses web sites or website name;

In reality, the domain name currently browsed web sites such as is may determine that by resource locator URL, and pass through the resource locator URL data base that can also pass through to pre-save or determine website name by network, reality can also adopt other modes, be not especially limited here.

Step S102, obtains this domain name or websites collection corresponding to website name;

In the present embodiment, websites collection is to be classified according to various mode such as function or region or industry etc. the website on the Internet, such as, can according to industry, website is divided into electricity business website, machinery industry website, aircraft industry website etc., and when above-mentioned steps S101 determines domain name or the website name that user currently browses web sites, the websites collection that user currently browses web sites can be further determined that, such as, according to default websites collection table, using the websites collection table that this domain name or website name are preset as term inquiry, this domain name or websites collection corresponding to website name can be obtained, here repeat no more.

Step S103, it is determined that currently browse web sites with user under described websites collection and there is the site information of competitive relation;

In reality, website under same websites collection typically belongs to have competitive relation, therefore, above-mentioned steps S102 determines the websites collection of current site, this step can further determine that the site information of the competitive relation that currently browses web sites with user under this websites collection, such as, obtain under this websites collection other part or all of site informations except currently browsing web sites and there is the site information of competitive relation as currently browsing web sites with user;

, there is the site information of competitive relation according to described currently browse web sites with user in step S104, it is determined that the recommendation information recommended to user and target web corresponding to this recommendation information;

When implementing, as an embodiment, in order to the website recommending to have competitive relation can be avoided can also to recommend and user-dependent recommendation information to user simultaneously, as an example, such as can adopt recommendation information that the true directional user of following manner recommends and target web corresponding to this recommendation information, namely first obtain user and currently browse the relevant information of webpage; Then currently browse the relevant information of webpage according to described user, obtain corresponding with described relevant information can recommendation information and this recommendation information can be corresponding target web; The site information of competitive relation is there is, from recommendation information rejecting the recommendation information that the website that there is competitive relation that currently browses web sites to user is relevant according to currently browsing web sites with user; And there is the site information of competitive relation according to currently browsing web sites with user, corresponding target web can reject the target web that the website that there is competitive relation that currently browses web sites to user is relevant from recommendation information; The target web that consequently recommended information and this recommendation information can be corresponding is determined finally according to above-mentioned rejecting result.

Need explanation, it can be the content of pages that user currently browses in webpage that the user of above-mentioned acquisition currently browses the relevant information of webpage, such as user is from currently browsing the key word extracted webpage, it can also be the type of webpage that user currently browses webpage that user currently browses the relevant information of webpage, or it can also be the link network address that user currently browses netpage user's mouse current location that user currently browses the relevant information of webpage, in reality, can also is that other and user currently browse the relevant information of webpage, be not specifically limited here;

As feasible embodiment, can recommendation information and recommendation information can be corresponding target web be not immobilize and directly related with user, specifically, in the present embodiment, can recommendation information be currently browse the related information of tool in other words that the relevant information of webpage is corresponding with user, such as, when the relevant information acquiring user and currently browsing webpage is currently browse, from user, the key word extracted Webpage content, can recommendation information can be then this key word, recommendation information can corresponding target web can be then the webpage relevant to this key word or article, illustrate, if currently browsing the key word extracted Webpage content from user is " XX store ", can recommendation information can be then this key word " XX store ", and this recommendation information can corresponding target web can be website corresponding to " XX store ", if but during the class website, Zhu Yeshi store, website of the webpage currently browsed, namely " XX store " is the rival of the website master currently browsing webpage, the recommendation information then finally determined and target web corresponding to this recommendation information need to evade the website of this " XX store " and correspondence thereof,

Or, as a specific embodiment, when the user acquired currently browses the relevant information of webpage it is: currently browse, from user, the key word extracted Webpage content; Can recommendation information can be then the recommendation information that the web page title relevant to this key word or article abbreviation and other and this key word are correlated with; Recommendation information can corresponding target web can be then the webpage relevant to currently browsing type of webpage or article, illustrate, if currently browsing the key word extracted Webpage content from user is " Bryant ", can recommendation information can be then a title, such as " NBA soccer star's Hall of Fame ", and the target web that recommendation information can be corresponding can be linked to the webpage about " NBA soccer star's Hall of Fame " or the webpage of related article; If currently browsing the website Zhu Shi news portal company of webpage, due to recommendation information " NBA soccer star's Hall of Fame " and the targeted website of correspondence thereof and the website of current site is main does not have competitive relation, therefore, the recommendation information finally determined can be should " NBA soccer star's Hall of Fame ", and target web corresponding to the recommendation information finally determined is the webpage about " NBA soccer star's Hall of Fame " or the webpage of related article.

Need explanation, in reality, can also according to currently browse from user the key word that extracts in Webpage content according to certain degree of association rule calculate the degree of association higher can recommendation information, such as, the hottest topic relevant to this key word is calculated according to the key word extracted, web page title or video subject or article abbreviation etc., and then can by the hottest calculated topic, web page title or video subject or article abbreviation etc. are as can recommendation information, and by the hottest relevant topic, webpage or video or article are as target web, but recommendation information and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, here repeat no more,

It addition, as a specific embodiment, be obtain the type of webpage currently browsing webpage that user obtains when the user acquired currently browses the relevant information of webpage; Can recommendation information can be then the web page title relevant to currently browsing type of webpage or article abbreviation, and target web can be currently browse the relevant webpage of type of webpage or article to user, but recommendation information and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, repeat no more here.

Need explanation, in reality, can also according to certain degree of association rule calculate with user currently browse Webpage correlation degree higher can recommendation information, such as, according to the type of webpage that user currently browses, it may be determined that can recommendation information be the up-to-date web page title relevant to currently browsing type of webpage or article abbreviation; Or can be the web page title clicked of maximum people relevant to currently browsing type of webpage or article is called for short by recommendation information; Or can recommendation information be web page title or the article abbreviation etc. that in nearest a period of time relevant to currently browsing type of webpage, people browse at most, but recommendation information and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, repeat no more here.

It addition, as a specific embodiment, the relevant information currently browsing webpage as the described user of acquisition is obtain user currently to browse the link network address of netpage user's mouse current location; Can recommendation information can be various link the information that network address is relevant to this, for instance including: for the key word of this link network address; Or the web page title or article for this link network address is called for short, and target web comprises the steps that such as accordingly, for the webpage that the key word of this link network address is relevant; Or for the webpage of this link network address or article, be not specifically limited here, but recommendation information and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, repeat no more here.

Need explanation, key word for this link network address, it can be such as the key word extracted in the content of pages of the webpage of this link network address, it can also be the key word determined of the type of webpage according to this link network address, link network address of illustrating is cosmetics electricity business website, key word can also be cosmetics electricity business, namely according to the page relevant information of this link network address may determine that various can recommendation information, but recommendation information and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, specifically it is referred to preceding description, here repeat no more.

Step S105, the status bar currently browsing webpage user shows described recommendation information with the form of entrance to user;

The form of the entrance described in the present embodiment refers to the entrance of content recommendation, the form of entrance can be hyperlink form, triggering mode or other entry form that can trigger can also be click on, additionally, in conjunction with Fig. 2, status bar is the region for displayed web page current page state or the info web etc. of mouse current location, as a specific embodiment, the extension to status bar can be passed through, recommendation information is represented with entry form to user when the status bar free time, for this, can first detect the state of browser status bar before representing recommendation information to user; Only when detecting that browser status bar is in idle condition, just representing described recommendation information to user, specifically, browser status bar described in the present embodiment is in idle condition and includes current page loaded, and status bar does not load progress and shows; Or cursor of mouse focus is not in needing the position of the status bar display network address; Such as mouse is positioned at the blank space etc. of the page, and in reality, other situation of showing of status bar need not may belong to the idle condition of browser status bar, is not specifically limited here;

Need explanation, as a specific embodiment, the region that represents of status bar can also be extended by reality, namely the subregion of status bar can represent page status, original regions that represent such as the info web of mouse current location, original the function that region presenting information is original status bar is represented at this, and the information represented is only used as display and can not clicking operation maybe cannot be triggered operation, can also extend new region at status bar represents the recommendation information with hyperlink or trigger action simultaneously, namely both can represent at the diverse location of status bar simultaneously, alternately can also show at the same position of status bar, here it is not specifically limited.

Additionally, described recommendation information can include many groups, and can currently browse the status bar of webpage user and according to many group wheel broadcast modes, recommendation information is represented, ways of presentation can be such as mutilation body or flicker and the mode such as picture or animation, is not especially limited here.

Step S106, when user being detected to the trigger action of described recommendation information, loads and represents the target web that described recommendation information is corresponding

When implementing, the recommendation information that in the present embodiment, status bar represents represents with entry form, namely recommendation information is the entrance of content recommendation, reality can make recommendation information have the mode such as hyperlink or clicking trigger operation and realize the trigger action to entrance, therefore, (such as click when user is to entrance trigger action or trigger this recommendation information), can load and represent the target web that recommendation information is corresponding, such as, target web is an advertiser website relevant to recommendation information, after recommendation information is triggered, advertiser website corresponding to recommendation information can be loaded at new webpage or at current page, or recommendation information can be such as " spring transportation train ticket quickly makes a reservation for " such title, and target web corresponding to this recommendation information can be a ticket reselling website, after user clicks the recommendation information of this " spring transportation train ticket quickly makes a reservation for ", the ticket reselling website that this recommendation information is corresponding can be loaded into.

To sum up, the method of the present embodiment is there is the site information of competitive relation according to currently browsing web sites with user, recommendation information that true directional user recommends and target web corresponding to this recommendation information, therefore, currently browse web sites with the user recommendation information that would be likely to occur competitive relation and target web corresponding to recommendation information can effectively be evaded; It addition, the recommendation information actively clicking in status bar owing to being based on user in the present embodiment triggers to user's content recommendation rather than forces pop-up window on webpage, therefore, the interference that user is caused is less; It addition, as preferred mode, in the present embodiment, recommendation information is currently to browse the recommendation information that the relevant information of webpage generates according to user, and namely recommendation information is with user-dependent, and therefore, user can be easier to notice recommendation information; And recommendation information and target web corresponding to recommendation information are corresponding or relevant owing to currently browsing the relevant information of webpage to user, therefore, it is recommended that more meet the actual demand of user to the content of user, recommendation can be made in hgher efficiency.

It is that the present embodiment specifically includes that to the system of user's content recommendation according to an embodiment of the invention to the overall schematic of the system of user's content recommendation with reference to Fig. 3, this figure

Domain name or website name determine processing module 1, and in the present embodiment, domain name or website name determine that processing module 1 is mainly used in determining domain name or the website name that user currently browses web sites;

In reality, domain name or website name determine that processing module 1 such as may determine that the domain name currently browsed web sites by resource locator URL, and pass through the resource locator URL data base that can also pass through to pre-save or determine website name by network, reality can also adopt other modes, be not especially limited here.

Websites collection obtains processing module 2, and in the present embodiment, websites collection obtains processing module 2 and is mainly used in obtaining this domain name or websites collection corresponding to website name;

Websites collection is to be classified according to various mode such as function or region or industry etc. the website on the Internet, such as, can according to industry, website is divided into electricity business website, machinery industry website, aircraft industry website etc., and after domain name or website name determine that processing module 1 determines the domain name or website name that user currently browses web sites, websites collection obtains processing module 2 can further determine that the websites collection that user currently browses web sites, such as, websites collection obtains processing module 2 according to default websites collection table, using the websites collection table that this domain name or website name are preset as term inquiry, this domain name or websites collection corresponding to website name can be obtained, here repeat no more.

Processing module 3 is determined in competitive relation website, and in the present embodiment, competitive relation website determines that processing module 3 is mainly used in determining under described websites collection currently browsing web sites with user there is the site information of competitive relation;

In reality, website under same websites collection typically belongs to have competitive relation, therefore, above-mentioned websites collection obtains processing module 2 and determines the websites collection that user currently browses web sites, competitive relation website determines that processing module 3 can further determine that the site information of the competitive relation that currently browses web sites under this websites collection with user, such as, competitive relation website determines that processing module 3 can obtain under this websites collection other part or all of site informations except currently browsing web sites and there is the site information of competitive relation as currently browsing web sites with user, repeats no more here;

Recommendation information and target web determine processing module 4, in the present embodiment, recommendation information and target web determine that processing module 4 is mainly used in there is the site information of competitive relation according to described currently browse web sites with user, it is determined that the recommendation information recommended to user and target web corresponding to this recommendation information; When implementing, in order to the website recommending to have competitive relation can be avoided can also to recommend and user-dependent recommendation information to user simultaneously, recommend and user-dependent recommendation information to user to can effectively evade competitive relation simultaneously, as a preferred embodiment, in conjunction with Fig. 4, it is recommended that information and target web determine that processing module 4 comprises the steps that

First acquisition module 41, currently browses the relevant information of webpage for obtaining user;

It can be such as the content of pages that user currently browses in webpage that the user obtained in the present embodiment currently browses the relevant information of webpage, and the user that illustrates is from currently browsing the key word extracted webpage; Or it can also be the type of webpage that user currently browses webpage that user currently browses the relevant information of webpage; Or it can also be the link network address that user currently browses netpage user's mouse current location that user currently browses the relevant information of webpage, in reality, it is also possible to be that other currently browse the relevant information of webpage with user, be not specifically limited here;

Second acquisition module 42, for currently browsing the relevant information of webpage according to described user, obtain corresponding with described relevant information can recommendation information and this recommendation information can be corresponding target web;

When implementing, with reference to preceding description, in the present embodiment the second acquisition module 42 obtain can recommendation information and recommendation information can be corresponding target web be not immobilize and directly related with user, specifically, in the present embodiment, second acquisition module 42 obtain can recommendation information and recommendation information can be corresponding target web be that the tool in other words currently browsing the relevant information of webpage with user corresponding is related, such as, when the first acquisition module 41 acquires user, currently to browse the relevant information of webpage be currently browse, from user, the key word extracted Webpage content, what then the second acquisition module 42 obtained can recommendation information can be this key word, recommendation information can corresponding target web can be then the webpage relevant to this key word or article, illustrate, if currently browsing the key word extracted Webpage content from user is " Chinese Premier League ", can recommendation information can be then this key word " Chinese Premier League ", and this recommendation information can corresponding target web can be the video-see website etc. of Chinese Premier League, but the recommendation information finally determined and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, here repeat no more,

Or, as a specific embodiment, it is currently browse, from user, the key word extracted Webpage content that the user acquired when the first acquisition module 41 currently browses the relevant information of webpage, what then the second acquisition module 42 obtained can recommendation information can be the recommendation information that the web page title relevant to this key word or article abbreviation and other and this key word are correlated with, the recommendation information that second acquisition module 42 obtains can corresponding target web can be then the webpage relevant to currently browsing type of webpage or article, illustrate, if currently browsing the key word extracted Webpage content from user is " Bryant ", can recommendation information can be then a title, such as " NBA soccer star's Hall of Fame ", and recommendation information can be linked to the webpage about " NBA soccer star's Hall of Fame " or the webpage of related article by corresponding target web, but the recommendation information finally determined and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, here repeat no more,

Need explanation, in reality, second acquisition module 42 can also according to currently browse from user the key word that extracts in Webpage content according to certain degree of association rule calculate the degree of association higher can recommendation information, such as, the hottest topic relevant to this key word is calculated according to the key word extracted, web page title or video subject or article abbreviation etc., and then can by the hottest calculated topic, web page title or video subject or article abbreviation etc. are as can recommendation information, and by the hottest relevant topic, webpage or video or article are as target web, but the recommendation information finally determined and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, here repeat no more,

It addition, as a specific embodiment, be obtain the type of webpage currently browsing webpage that user obtains when the user acquired currently browses the relevant information of webpage; What then the second acquisition module 42 obtained can recommendation information can be the web page title relevant to currently browsing type of webpage or article abbreviation, and the second acquisition module 42 obtains can currently browse the relevant webpage of type of webpage or article to user for being by corresponding target web, but the recommendation information finally determined and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, repeat no more here.

Need explanation, in reality, second acquisition module 42 can also according to certain degree of association rule calculate with user currently browse Webpage correlation degree higher can recommendation information, such as, according to the type of webpage that user currently browses, it may be determined that can recommendation information be the up-to-date web page title relevant to currently browsing type of webpage or article abbreviation; Or can be the web page title clicked of maximum people relevant to currently browsing type of webpage or article is called for short by recommendation information; Or can be web page title that in nearest a period of time relevant to currently browsing type of webpage, people browse at most or article is called for short by recommendation information, but the recommendation information finally determined and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, repeat no more here.

It addition, as a specific embodiment, if the relevant information that the described user of acquisition currently browses webpage is: obtain user and currently browse the link network address of netpage user's mouse current location; What the second acquisition module 32 obtained can recommendation information can be various link the information that network address is relevant to this, for instance including: for the key word of this link network address; Or the web page title or article for this link network address is called for short, and target web can include accordingly, for instance, for the webpage that the key word of this link network address is relevant; Or for the webpage of this link network address or article, be not specifically limited here, but the recommendation information finally determined and target web corresponding to recommendation information need main with the website currently browsing webpage do not have competitive relation, repeat no more here.

Need explanation, key word for this link network address, it can be such as the key word extracted from the content of pages of the webpage of this link network address, it can also be the key word determined of the type of webpage according to this link network address, link network address is such as cosmetics electricity business website, and key word can also be cosmetics electricity business, namely according to the page relevant information of this link network address may determine that various can recommendation information, specifically it is referred to preceding description, repeats no more here.

First rejects module 43, for there is the site information of competitive relation according to currently browsing web sites with user, from recommendation information rejecting the recommendation information that the website that there is competitive relation that currently browses web sites to user is relevant, when implementing, such as, there is the site information of competitive relation and potentially include the website name of this website or abbreviation is " XX ", if " XX special price " etc. can be included recommendation information, then from recommendation information rejecting " XX special price ";

Second rejects module 44, for there is the site information of competitive relation according to currently browsing web sites with user, corresponding target web can reject the target web that the website that there is competitive relation that currently browses web sites to user is relevant from recommendation information, when implementing, such as, the website that there is competitive relation is " XX ", it is recommended that information can corresponding target web be the webpage of XX, then can reject the webpage of XX corresponding target web from recommendation information;

First determines module 45, for determining, according to above-mentioned rejecting result, the target web that consequently recommended information and this recommendation information can be corresponding, when implementing, owing to recommendation information and recommendation information corresponding target web can eliminate the information that the website that there is competitive relation that currently browses web sites to user is relevant, therefore, recommendation information and recommendation information corresponding target web can determine the target web that final recommendation information and recommendation information can be corresponding from remaining.

Represent processing module 5, the present embodiment represents processing module 5 be mainly used in currently browsing user the status bar of webpage and represent described recommendation information with the form of entrance to user, the form of the entrance described in the present embodiment refers to the entrance of content recommendation, the form of entrance can be hyperlink form, triggering mode or other entry form that can trigger can also be click on, additionally, in conjunction with Fig. 2, status bar is the region for displayed web page current page state or the info web etc. of mouse current location, as a specific embodiment, the extension to status bar can be passed through, recommendation information is represented with entry form to user when the status bar free time, as a specific embodiment, by the extension to status bar, represent processing module 5 can when the status bar free time with the form of entrance to user represent described in there is the recommendation information of hyperlink or trigger action, in conjunction with Fig. 5, the present embodiment represents processing module 5 comprise the steps that

Detection module 51, is used for detecting browser status bar state;

Represent module 52, for when detecting that browser status bar is in idle condition, just representing described recommendation information to user.

Additionally, need explanation, described recommendation information can include many groups, represent module 52 and can currently browse the status bar of webpage according to how recommendation information is represented by group wheel broadcast modes user, ways of presentation can be such as mutilation body or flicker and the mode such as picture or animation, is not especially limited here.

Loading processing module 6, in the present embodiment, loading processing module 6 is mainly used in, when user being detected to the trigger action of described entrance, loading and representing the target web that described recommendation information is corresponding.

The recommendation information that in the present embodiment, status bar represents represents with entry form, namely recommendation information is the entrance of content recommendation, reality can make recommendation information have the mode such as hyperlink or clicking trigger operation and realize the trigger action to entrance, therefore, (such as click when user is to entrance trigger action or trigger this recommendation information), loading processing module 6 can load and represent the target web that recommendation information is corresponding, such as, target web is an advertiser website relevant to recommendation information, after recommendation information is triggered, loading processing module 6 can load advertiser website corresponding to recommendation information at new webpage or at current page, or recommendation information can be such as " spring transportation train ticket quickly makes a reservation for " such title, and target web corresponding to this recommendation information can be a ticket reselling website, after user clicks the recommendation information of this " spring transportation train ticket quickly makes a reservation for ", loading processing module 6 can be loaded into the ticket reselling website that this recommendation information is corresponding.

To sum up, the system of the present embodiment is there is the site information of competitive relation according to currently browsing web sites with user, recommendation information that true directional user recommends and target web corresponding to this recommendation information, therefore, currently browse web sites with the user recommendation information that would be likely to occur competitive relation and target web corresponding to recommendation information can effectively be evaded; It addition, the recommendation information actively clicking in status bar owing to being based on user in the present embodiment triggers to user's content recommendation rather than forces pop-up window on webpage, therefore, the interference that user is caused is less; It addition, as preferred mode, in the present embodiment, recommendation information is currently to browse the recommendation information that the relevant information of webpage generates according to user, and namely recommendation information is with user-dependent, and therefore, user can be easier to notice recommendation information; And recommendation information and target web corresponding to recommendation information are corresponding or relevant owing to currently browsing the relevant information of webpage to user, therefore, it is recommended that more meet the actual demand of user to the content of user, recommendation can be made in hgher efficiency.

Not intrinsic to any certain computer, virtual system or miscellaneous equipment relevant in algorithm and the display of this offer. Various general-purpose systems can also with use based on together with this teaching. As described above, the structure constructed required by this kind of system is apparent from. Additionally, the present invention is also not for any certain programmed language. It is understood that, it is possible to utilize various programming language to realize the content of invention described herein, and the description above language-specific done is the preferred forms in order to disclose the present invention.

In description mentioned herein, describe a large amount of detail. It is to be appreciated, however, that embodiments of the invention can be put into practice when not having these details. In some instances, known method, structure and technology it are not shown specifically, in order to do not obscure the understanding of this description.

Similarly, it is to be understood that, one or more in order to what simplify that the disclosure helping understands in each inventive aspect, herein above in the description of the exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or descriptions thereof sometimes. But, the method for the disclosure should be construed to and reflect an intention that namely the present invention for required protection requires feature more more than the feature being expressly recited in each claim. More precisely, as the following claims reflect, inventive aspect is in that all features less than single embodiment disclosed above. Therefore, it then follows claims of detailed description of the invention are thus expressly incorporated in this detailed description of the invention, wherein each claim itself as the independent embodiment of the present invention.

Those skilled in the art are appreciated that, it is possible to carry out the module in the equipment in embodiment adaptively changing and they being arranged in one or more equipment different from this embodiment. Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition. Except at least some in such feature and/or process or unit excludes each other, it is possible to adopt any combination that all processes or the unit of all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment are combined. Unless expressly stated otherwise, each feature disclosed in this specification (including adjoint claim, summary and accompanying drawing) can be replaced by the alternative features providing purpose identical, equivalent or similar.

In addition, those skilled in the art it will be appreciated that, although embodiments more described herein include some feature included in other embodiments rather than further feature, but the combination of the feature of different embodiment means to be within the scope of the present invention and form different embodiments. Such as, in the following claims, the one of any of embodiment required for protection can mode use in any combination.

The all parts embodiment of the present invention can realize with hardware, or realizes with the software module run on one or more processor, or realizes with their combination. It will be understood by those of skill in the art that the some or all functions to the some or all parts in the system of user's content recommendation that microprocessor or digital signal processor (DSP) can be used in practice to realize according to embodiments of the present invention. The present invention is also implemented as part or all the equipment for performing method as described herein or device program (such as, computer program and computer program). The program of such present invention of realization can store on a computer-readable medium, or can have the form of one or more signal. Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.

The present invention will be described rather than limits the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment without departing from the scope of the appended claims. In the claims, any reference marks that should not will be located between bracket is configured to limitations on claims. Word " comprises " and does not exclude the presence of the element or step not arranged in the claims. Word "a" or "an" before being positioned at element does not exclude the presence of multiple such element. The present invention by means of including the hardware of some different elements and can realize by means of properly programmed computer. In the unit claim listing some devices, several in these devices can be through same hardware branch and specifically embody. Word first, second and third use do not indicate that any order. Can be title by these word explanations.

The invention discloses, A1, a kind of method to user's content recommendation, including:

Determine domain name or website name that user currently browses web sites;

Obtain this domain name or websites collection corresponding to website name;

A2, according to the method described in 1, it is characterised in that this domain name of described acquisition or websites collection corresponding to website name specifically include:

A3, according to the method described in 1, it is characterised in that recommendation information and target web corresponding to this recommendation information that described directional user really recommends include:

Obtain user and currently browse the relevant information of webpage;

A4, method according to A3, it is characterised in that described user currently browses the relevant information of webpage and includes: currently browse the key word extracted Webpage content from user; Or user currently browses the type of webpage of webpage; Or user currently browses the link network address of netpage user's mouse current location;

A5, method according to any one of A1-A4, it is characterised in that currently browse the status bar of webpage user and represent described recommendation information to user and include:

Detection browser status bar state;

A6, method according to A5, it is characterised in that described browser status bar is in idle condition and includes current page loaded, and status bar does not load progress and shows; Or cursor of mouse focus is not in needing the position of the status bar display network address.

A7, method according to A1, it is characterised in that described recommendation information includes many groups, represent recommendation information according to many group wheel broadcast modes.

B8, a kind of system to user's content recommendation, including:

B9, system according to B8, it is characterised in that described domain name or website name determine that processing module is the websites collection table preset as term inquiry using this domain name or website name, to obtain this domain name or websites collection corresponding to website name.

B10, system according to B8, it is characterised in that described recommendation information and target web determine that processing module specifically includes:

B11, system according to B10, it is characterised in that the user that the first described acquisition module obtains currently browses the relevant information of webpage and includes: currently browse, from user, the key word extracted Webpage content; Or user currently browses the type of webpage of webpage; Or user currently browses the link network address of netpage user's mouse current location;

B12, system according to any one of B8-B11, it is characterised in that the described processing module that represents includes:

Detection module, is used for detecting browser status bar state;

B13, system according to B12, it is characterised in that described browser status bar is in idle condition and includes current page loaded, and status bar does not load progress and shows; Or cursor of mouse focus is not in needing the position of the status bar display network address.

B14, system according to B12, it is characterised in that described recommendation information includes many groups, described in represent module and according to many group wheel broadcast modes, recommendation information represented.

Claims

1. the method to user's content recommendation, it is characterised in that including:

Determine domain name or website name that user currently browses web sites;

Obtain this domain name or websites collection corresponding to website name;

2. the method for claim 1, it is characterised in that this domain name of described acquisition or websites collection corresponding to website name specifically include:

3. the method for claim 1, it is characterised in that recommendation information and target web corresponding to this recommendation information that described directional user really recommends include:

Obtain user and currently browse the relevant information of webpage;

4. method as claimed in claim 3, it is characterised in that described user currently browses the relevant information of webpage and includes: currently browse, from user, the key word extracted Webpage content; Or user currently browses the type of webpage of webpage; Or user currently browses the link network address of netpage user's mouse current location;

5. the method as described in any one of claim 1-4, it is characterised in that currently browse the status bar of webpage user and represent described recommendation information to user and include:

Detection browser status bar state;

6. method as claimed in claim 5, it is characterised in that described browser status bar is in idle condition and includes current page loaded, and status bar does not load progress and shows; Or cursor of mouse focus is not in needing the position of the status bar display network address.

7. the method for claim 1, it is characterised in that described recommendation information includes many groups, represents recommendation information according to many group wheel broadcast modes.

8. the system to user's content recommendation, it is characterised in that including:

9. system as claimed in claim 8, it is characterised in that described domain name or website name determine that processing module is the websites collection table preset as term inquiry using this domain name or website name, to obtain this domain name or websites collection corresponding to website name.

10. system as claimed in claim 8, it is characterised in that described recommendation information and target web determine that processing module specifically includes: