CN102819555B - A kind of method and apparatus carrying out recommendation information loading in the reading model of webpage - Google Patents

A kind of method and apparatus carrying out recommendation information loading in the reading model of webpage Download PDF

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Publication number
CN102819555B
CN102819555B CN201210218533.8A CN201210218533A CN102819555B CN 102819555 B CN102819555 B CN 102819555B CN 201210218533 A CN201210218533 A CN 201210218533A CN 102819555 B CN102819555 B CN 102819555B
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China
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information
reading
described
user
preference
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CN201210218533.8A
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Chinese (zh)
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CN102819555A (en
Inventor
潘洪学
谢洲为
糜裕峰
任寰
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北京奇虎科技有限公司
奇智软件(北京)有限公司
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Publication of CN102819555A publication Critical patent/CN102819555A/en
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Abstract

The invention provides the method and apparatus carrying out recommendation information loading in the reading model of webpage, relate to browser technology field.Described method comprises: switch current page and show to reading model; The reading behavior information of record browser client, and read preference information according to this reading behavior information generation user; The recommendation information read preference with user and be associated is obtained according to described reading preference information; Load in the reading model of browser and show the recommendation information of described acquisition.The present invention extends the scope that information data is shown, can show, can provide the information of more personalizations relevant to its reading in time to user by loading relevant information according to the reading behavior of user in reading model.

Description

A kind of method and apparatus carrying out recommendation information loading in the reading model of webpage

Technical field

The present invention relates to browser technology field, particularly relate to a kind of method and apparatus carrying out recommendation information loading in the reading model of webpage.

Background technology

Browser refers to can the file content of display web page server or file system, and allows a kind of software of user and these file interactions.Web browser mainly through HTTP (HTTP) agreement and web page server alternately and obtain webpage, these webpages are by URL (Uniform/UniversalResourceLocator, URL(uniform resource locator)) specify, the form of its web page contents is generally HTML (HypertextMarkupLanguageSource, HTML (Hypertext Markup Language)).User is by the various web page contents in browser browse network, and in prior art, there is a kind of reading model, it is for extracting the core content (the novel content of such as novel webpage) in info web, put into reading model to show, compare single mode of being undertaken reading by webpage, there is the loading velocity advantages of higher to core content.

But in prior art, the just simple core content of info web is extracted, then be loaded on reading model to show, information data shows narrow range, and cannot show in reading model according to the reading behavior loading relevant information of user, also cannot provide more customized informations relevant to its reading to user in time.

Summary of the invention

Technical matters to be solved by this invention is to provide a kind of method and apparatus carrying out recommendation information loading in the reading model of webpage, solve in prior art, information data shows narrow range, and cannot show in reading model according to the reading behavior loading relevant information of user, the problem of more customized informations relevant to its reading also cannot be provided to user in time.

In order to solve the problem, the invention discloses a kind of method and apparatus carrying out recommendation information loading in the reading model of webpage, comprising:

Switch current page to show to reading model;

The reading behavior information of record browser client, and read preference information according to this reading behavior information generation user;

The recommendation information read preference with user and be associated is obtained according to described reading preference information;

Load in the reading model of browser and show the recommendation information of described acquisition.

Preferably, the reading behavior information of described browser client comprises: the local collection information of browser or the network profile information of user;

Then describedly generate according to this reading behavior information the step that user reads preference information and comprise:

Network address in the network profile information of described local collection information or user is classified, and obtains the network address of reading class;

Extract the reading preference information of the reading information key word in the network address of reading class as user.

Preferably, described reading information key word comprises: at least one in the network address of described reading class in the classification of reading content, caption title, books ID, directory information, chapters and sections information.

Preferably, the reading behavior information of described browser client comprises: the reading histories recorded information of user under described reading model;

Then describedly generate according to this reading behavior information the step that user reads preference information and comprise:

Extract the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.

Preferably, the reading behavior information of described browser client comprises: the reading operations information of user under described reading model;

Then describedly generate according to this reading behavior information the step that user reads preference information and comprise:

Intercept the rolling operation event of mouse or keyboard under described reading model;

When the frequency of rolling operation event of record reaches predetermined threshold in reading reading content, record the classification of this reading content and/or the title reading preference information as user.

Preferably, the reading preference information of described user comprises further:

When in reading reading content, the frequency of rolling operation event of record reaches predetermined threshold, the textual data of the described reading content of record and/or chapters and sections content joint number according to and/or the reading operations information of user and the corresponding relation of described reading content.

Preferably, described acquisition according to described reading preference information to be read the recommendation information that preference is associated and is comprised with user:

When user does not log in browser, described user is read preference information and sends searching request to search engine as search key by browser side;

And the Search Results received is classified, obtain reading category information wherein;

Described reading category information is sorted according to webpage temperature, and using the information of described sequence as recommendation information.

Preferably, described acquisition according to described reading preference information to be read the recommendation information that preference is associated and is comprised with user:

After user logs in browser, described user is read preference information and sends searching request to search engine as search key by server side;

And the Search Results received is classified, obtain reading category information wherein;

Described reading category information is sorted according to webpage temperature, and using the information of described sequence as recommendation information.

Preferably, comprise further:

Obtain and read with user video class information, game class information, at least one commented in category information that preference information is associated in described Search Results;

And at least one in described video class information, game class information, comment category information is sorted according to webpage temperature, and using the information classification of described sequence as recommendation information.

Preferably, comprise further:

After described Search Results classification, obtain the reading category information of wherein same author,

And using the reading category information of described same author as recommendation information.

Preferably, describedly generate user according to this reading behavior information and read preference information and be kept at browser side when the non-logging status of user; When user's logging status, this user reads preference information and is kept at server side as one of the attribute information of user.

Preferably, describedly to load in the reading model of browser and the step showing the recommendation information of described acquisition comprises:

Browser auxiliary object BHO request is initiated to described browser;

Use the recommendation information described in the acquisition of the injecting program of setting by request and be loaded in the reading model of browser and show.

Preferably, described by asking to use the recommendation information described in the acquisition of the injecting program of setting and be loaded in the reading model of browser the step carrying out showing to comprise:

Obtain described recommendation information by described injecting program, generate Javascript self-defining data object;

Circulate this Javascript self-defining data object, described recommendation information is converted to the structure of HTML;

Described HTML structure is loaded in described reading model and shows.

Accordingly, disclosed herein as well is a kind of device carrying out recommendation information loading in the reading model of webpage, comprising:

Handover module, shows to reading model for switching current page;

Preference analysis module, for recording the reading behavior information of browser client, and reads preference information according to this reading behavior information generation user;

Recommendation information acquisition module, for obtaining the recommendation information read preference with user and be associated according to described reading preference information;

Recommendation information loaded and displayed module, for loading and showing the recommendation information of described acquisition in the reading model of browser.

Preferably, the reading behavior information of described browser client comprises: the local collection information of browser or the network profile information of user;

Then described preference analysis module comprises:

Read class website acquisition module, classify for the network address in the network profile information to described local collection information or user, and obtain the network address of reading class;

First preference information extraction module, for extracting the reading preference information of the reading information key word in the network address of reading class as user.

Preferably, described reading information key word comprises: at least one in the network address of described reading class in the classification of reading content, caption title, books ID, directory information, chapters and sections information.

Preferably, the reading behavior information of described browser client comprises: the reading histories recorded information of user under described reading model;

Then described preference analysis module comprises:

Second preference information extraction module, for extracting the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.

Preferably, the reading behavior information of described browser client comprises: the reading operations information of user under described reading model;

Then described preference analysis module comprises:

Mouse action intercepts module, for intercepting the rolling operation event of mouse or keyboard under described reading model;

3rd preference information extraction module, when the frequency of rolling operation event for record in reading reading content reaches predetermined threshold, records the classification of this reading content and/or the title reading preference information as user.

Preferably, also comprise:

Preference information judges logging modle, when the frequency of rolling operation event for record in reading reading content reaches predetermined threshold, the textual data of the described reading content of record and/or chapters and sections content joint number according to and/or the reading operations information of user and the corresponding relation of described reading content.

Preferably, described recommendation information acquisition module comprises:

First preference information sending module, for when user does not log in browser, in browser side, reads preference information by the first preference information sending module using described user and sends searching request to search engine as search key;

First Search Results receiving processing module, for receiving the Search Results of search engine, and classifies the Search Results received, and obtains reading category information wherein;

First recommendation information sorting module, for sorting described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.

Preferably, described acquisition according to described reading preference information to be read recommendation information that preference is associated and is undertaken by such as lower module with user:

Second preference information sending module, for after user logs in browser, at server side, reads preference information by the second preference information sending module using described user and sends searching request to search engine as search key;

Second Search Results receiving processing module, for receiving the Search Results of search engine, and classifies the Search Results received, and obtains reading category information wherein;

Second recommendation information sorting module, for sorting described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.

Preferably, comprise further:

First related information acquisition module, reads with user video class information, game class information, at least one commented in category information that preference information is associated for obtaining in described Search Results;

3rd recommendation information sorting module, for and at least one in described video class information, game class information, comment category information is sorted according to webpage temperature, and using the information classification of described sequence as recommendation information.

Preferably, comprise further:

Second related information acquisition module, for by after described Search Results classification, obtains the reading category information of wherein same author,

4th recommendation information sorting module, for and using the reading category information of described same author as recommendation information.

Preferably,

First user preference information logging modle is comprised, for generating user according to this reading behavior information and read preference information when the non-logging status of user by described and be kept at browser side in browser side;

Comprise the second user preference information logging modle at server side, read preference information for this user when user's logging status and be kept at server side as one of the attribute information of user.

Preferably, describedly to comprise in recommendation information loaded and displayed module:

BHO asks initiation module, for initiating browser auxiliary object BHO request to described browser;

First recommendation information loaded and displayed module, shows for carrying by the recommendation information described in the injecting program acquisition of request use setting and being loaded in the reading model of browser.

Preferably, described first recommendation information loaded and displayed module comprises:

Data object generation module, for obtaining described recommendation information by described injecting program, generates Javascript self-defining data object;

Cooperating measure module, for this Javascript self-defining data object that circulates, is converted to the structure of HTML by described recommendation information;

Second recommendation information loaded and displayed module, shows for described HTML structure being loaded in described reading model.

Compared with prior art, the present invention includes following advantage:

The present invention is according to the reading behavior information of the browser client of record, the user generated for the personalization of this user reads preference information, then obtain according to described reading preference information and read the relevant recommendation information of preference to user, again described recommendation information is loaded in the reading model of browser and shows, so, extend the scope that information data is shown, can show loading relevant information according to the reading behavior of user in reading model, the information of more personalizations relevant to its reading can be provided to user in time.

Accompanying drawing explanation

Fig. 1 is a kind of schematic flow sheet carrying out the method and apparatus of recommendation information loading in the reading model of webpage of the present invention;

Fig. 2 is a kind of example of the present invention when showing in reading model;

Fig. 3 is a kind of structural representation carrying out the device of recommendation information loading in the reading model of webpage of the present invention;

Fig. 4 is the structural representation of preference analysis module preferred embodiment one of the present invention;

Fig. 5 is the structural representation of preference analysis module preferred embodiment two of the present invention;

Fig. 6 is the structural representation of preference analysis module preferred embodiment three of the present invention;

Fig. 7 is the structural representation of preference analysis module preferred embodiment four of the present invention;

Fig. 8 is that data obtaining module preferred embodiment one structural representation is recommended in browser thruster of the present invention;

Fig. 9 is server side recommendation information acquisition module preferred embodiment two structural representation of the present invention;

Figure 10 is the structural representation of the further preferred embodiment three of recommendation information acquisition module of the present invention;

Figure 11 is the structural representation of the further preferred embodiment four of recommendation information acquisition module of the present invention;

Figure 12 is the structural representation of recommendation information loaded and displayed module preferred embodiment one of the present invention;

Figure 13 is the structural representation of this first recommendation information loaded and displayed module preferred embodiment one.

Embodiment

For enabling above-mentioned purpose of the present invention, feature and advantage become apparent more, and below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.

One of core concept of the present invention is, the reading behavior information of record current browser user, then generate user according to this reading behavior information and read preference information, go to obtain in server or other devices according to the reading preference information of this personalization again and user reads the recommendation information that preference is associated, again recommendation information is loaded in browser reading model and shows, so in reading model, extend the scope that information data is shown, can show loading relevant information according to the reading behavior of user in reading model, the information of more personalizations relevant to its reading can be provided to user in time.

With reference to Fig. 1, show a kind of schematic flow sheet carrying out the method for recommendation information loading in the reading model of webpage of the present invention, specifically can comprise:

Step 110, switches current page and shows to reading model;

Reading model is provided with handoff functionality button, when user browses a webpage, can click reading model switching push button, sending mode switching command, and the switching of the content of current web page is entered reading model and shows by notice browser.

Step 120, the reading behavior information of record browser client, and read preference information according to this reading behavior information generation user;

With the reading behavior information of browser client for personalizing parameters, analyze the user generating this browser client and read preference information.

Preferably, the reading behavior information of described browser client comprises: the local collection information of browser or the network profile information of user;

Based on the local collection information of browser or the network profile information of user, then describedly generate according to this reading behavior information the step that user reads preference information and comprise:

Steps A 11, classifies to the network address in the network profile information of described local collection information or user, and obtains the network address of reading class;

When user is for logging in, the network address that can will obtain in local collection information, classifies the network address in local collection information, and obtains the network address of reading class.

When user logs in, user can be obtained and be stored in network address in the network profile information of cloud server, then the network address in network profile information be classified, and obtain the network address of reading class.

When wherein the network address in local collection information or the network address in network profile information being classified, can classify by the content keyword corresponding according to network address, be about to belong to and there is the network address belonging to same classification keyword be divided into a class.Such as " novel " " fantasy novel " is divided into novel and reads class.Certainly, concrete sorting technique the present invention is not limited it.

After the network address in local collection information or the network address in network profile information are classified, exist and read class network address, such as novel categories of websites, film review categories of websites etc., further novel categories of websites also can be divided into thinner classification, such as celestial chivalrous novel classification, passes through novel classification etc.This kind of reading class network address is then extracted by the present invention.

Steps A 12, extracts the reading preference information of the reading information key word in the network address of reading class as user.

Wherein, described reading information key word also can comprise: at least one in the network address of described reading class in the classification of reading content, caption title, books ID, directory information, chapters and sections information.

There is the keyword of its general character in each classification, such as passes through novel classification for aforementioned, then can extract such other key word and " pass through ", as the reading preference information of user.Also such as, the caption title of reading and existing in class network address can be extracted, such as " put to death celestial being " as key word and wait for.

Preferably, the reading behavior information of described browser client comprises: the reading histories recorded information of user under described reading model;

Based on the reading histories recorded information of user under described reading model, then describedly generate according to this reading behavior information the step that user reads preference information and comprise:

Steps A 21, extracts the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.

Such as user read the novel that is named as " getting back to the Ming Dynasty ", and the classification of this novel content belongs to passes through, and so then " can pass through " the reading preference information as user, or directly " will get back to the Ming Dynasty " as the reading preference information of user.

In the present invention, the reading histories recorded information of user carries out record by reading model, when such as user adopts reading model to read novel, then the network address of the novel read, classification or title are carried out record, so this step can extract the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.

Preferably, the reading behavior information of described browser client comprises: the reading operations information of user under described reading model;

Based on the reading operations information of user under described reading model, then describedly generate according to this reading behavior information the step that user reads preference information and comprise:

Step C11, intercepts the rolling operation event of mouse or keyboard under described reading model;

When user reads under reading model, mouse or keyboard operation display interface may be used to roll up or down, to read the information in display interface, so when user rolls with mouse or keyboard operation display interface under reading model, then described rolling operation event can be intercepted.

Step C12, when the frequency of rolling operation event of record reaches predetermined threshold in reading reading content, records the classification of this reading content and/or the title reading preference information as user.

When intercepting described rolling operation event, the frequency of rolling operation can be recorded.In the present invention, in advance a threshold value can be set according to priori, when the frequency of described rolling operation reaches threshold value, when such as reaching 100 times, then record the classification of this reading content and/or the title reading preference information as user, such as user reads the e-novel of aforementioned " getting back to the Ming Dynasty " under reading model, it has rolled downwards 100 times, to read the content of this novel, so the classification of this novel " can be passed through " and/or title " gets back to the Ming Dynasty " as the reading preference information of user.

Wherein, the reading preference information of described user comprises further:

When in reading reading content, the frequency of rolling operation event of record reaches predetermined threshold, the textual data of the described reading content of record and/or chapters and sections content joint number according to and/or the reading operations information of user and the corresponding relation of described reading content.

Than " getting back to the Ming Dynasty " e-novel that user as the aforementioned reads, when described rolling operation event frequency reaches 100 times, the corresponding relation of the current reading content of the textual data of " getting back to the Ming Dynasty " and/or the reading operations information of chapters and sections content joint number certificate and/or user and user can be recorded.The current reading of such as user be the 30th chapters and sections of " getting back to the Ming Dynasty ", the corresponding relation of the content-data so each chapters and sections content-data of " getting back to the Ming Dynasty " etc. can read with active user carries out record.

Step 130, obtains the recommendation information read preference with user and be associated according to described reading preference information;

Getting after user reads preference information, preference information can read according to user and obtain the recommendation information read preference information with user and be associated.When such as aforementioned key word " passes through " as user preference information, can obtain from the devices such as server and " pass through " with key word the information be associated, such as " pass through " the various novels of theme, the film and television of " passing through " theme, the game etc. of " passing through " theme.

Preferably, described acquisition according to described reading preference information to be read the recommendation information that preference is associated and is comprised with user:

Step D11, when user does not log in browser, described user is read preference information and sends searching request to search engine as search key by browser side;

In the present invention, there is a kind of Accounting system in browser, user logs at browser, it is connected with the server in high in the clouds, the customized information of login user can be stored in the server in high in the clouds, also from the server in high in the clouds, user personalized information can be synchronized to this locality, also directly can use the customized information of this user of cloud server, namely the server that user can log in browser and high in the clouds carries out alternately, can using the function of the server side in high in the clouds.

So when user does not log in browser, it can only use the function of browser side, so in browser side, the aforementioned user obtained can be read preference information and send searching request to search engine as search key.Such as aforementioned keyword " passes through ", " will pass through " and send searching request to search engine as search key.

Step D12, and the Search Results received is classified, obtain reading category information wherein;

Such as search engine based on described key word " pass through " retrieve time, the various contents relevant to " passing through " key word may be obtained.The present invention then these contents classifies, and is such as divided into the various novel of class etc. that passes through to read category information, passes through the video class information of class, pass through the game class information of class, comment category information passing through class etc.This step then extracts reading category information wherein.

Step D13, sorts described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.

Such as the reading category information that " passing through " key word is relevant: pass through class novel.What it may comprise each version of each large novel class website of multi-section passes through class novel, so the various novels passing through class then sort by the temperature of its corresponding webpage by this step, such as sort by the click volume of its webpage, also can sort according to its rank at certain list (such as the monthly ticket ranking list of starting point novel website), then using sequence information as recommendation information.In embodiments of the present invention, can forward at least one of selected and sorted as recommendation information.

Preferably, described acquisition according to described reading preference information to be read the recommendation information that preference is associated and is comprised with user:

Step D21, after user logs in browser, described user is read preference information and sends searching request to search engine as search key by server side;

As previously mentioned, the present invention can arrange a kind of Accounting system, after user logs in browser, can interact with the server of motion, so by server side, described user can be read preference information and send searching request to search engine as search key.

Step D22, and the Search Results received is classified, obtain reading category information wherein;

This step and step D12 similar.When step D22 can carry out in browser side, also can carry out by server beyond the clouds.

Step D23, sorts described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.

This step and D13 similar.Certainly, step D23 can carry out browser side, also can carry out by server beyond the clouds.When step D23 carries out beyond the clouds, then obtained recommendation information is sent to the browser of user side.

Wherein, describedly generate user according to this reading behavior information and read preference information and be kept at browser side when the non-logging status of user;

When user's logging status, this user reads preference information and is kept at server side as one of the attribute information of user.

So can the reading preference information of long term accumulation user, and can revise according to the reading behavior of user at any time.

Preferably, comprise further:

Step D31, obtains and reads with user video class information, game class information, at least one commented in category information that preference information is associated in described Search Results;

After such as previous searches result is classified, the various novel of class etc. that passes through may be such as divided into read category information, pass through the video class information of class, pass through the game class information of class, the comment category information passing through class wherein one or more, so this step can obtain and read with user video class information, game class information, at least one commented in category information that preference information is associated in described Search Results.

Step D32, and at least one in described video class information, game class information, comment category information is sorted according to webpage temperature, and using the information classification of described sequence as recommendation information.

Information in above-mentioned classification also can according to parameters such as its click volumes as webpage temperature and performance ranking, then using the information classification of described sequence as recommendation information.Wherein, also can using at least one forward information that sorts in the information classification of sequence as recommendation information.

Preferably, comprise further:

Step D41, after described Search Results classification, obtains the reading category information of wherein same author, and using the reading category information of described same author as recommendation information.

Namely such as the aforementioned novel " getting back to the Ming Dynasty " that passes through is write by author A, so can in the classification of Search Results, obtains other works informations of author A, then using the reading category information of described same author as recommendation information.

Step 140, loads and shows the recommendation information of described acquisition in the reading model of browser.

After getting recommendation information, then can load in the reading model of browser and show the recommendation information of described acquisition.

Preferably, describedly to load in the reading model of browser and the step showing the recommendation information of described acquisition comprises:

Step e 11, initiates browser auxiliary object BHO request to described browser;

BHO (BrowserHelperObject, browser auxiliary object), be industrywide standard interactive interface being opened to third party programmer as browser that Microsoft releases, just can be entered " interactive interface " (INTERACTIVEDInterface) in browser field by simple code.By this interface, the behavior of browser can be obtained.Therefore the embodiment of the present invention can utilize BHO to ask to use the recommendation information described in the acquisition of the injecting program of setting and be loaded in the reading model of browser to show.

Step e 12, shows by asking to use the recommendation information described in the acquisition of the injecting program of setting and be loaded in the reading model of browser.

Wherein, described by asking to use the recommendation information described in the acquisition of the injecting program of setting and be loaded in the reading model of browser the step carrying out showing to comprise:

Step e 21, obtains described recommendation information by described injecting program, generates Javascript self-defining data object;

BHO request is the SetSite function of the IObjectWithSite interface calling browser, after this interface is called, browser can give its Browser object the C++ program initiating BHO request, then C++ program with this Browser object, can inject Javascript self-defining data object.By injecting the self-defined object of JavaScript language in a browser, the JavaScript code of reading model can be made to perform certain operations, the such as operation of step e 22 and step e 23.

Wherein the statement of SetSite function is as follows:

HRESULTSetSite(IUnknown*pUnkSite)

Wherein, the IWebBrowser2 interface of Browser object can be obtained by this pointer of pUnkSite; Then obtain activedocumentautomationobject object from IWebBrowser2 interface, then from this object acquisition IHTMLDocument2 interface, call getScript method, obtain script object; This script object shows as IDispatchEx interface, calls GetDispID method from IDispatchEx interface, and GetDispID method is the ID of new JavaScript object acquisition one; Call InvokeEx method again, be mapped as the Javascript self-defining data object of correspondence by this ID, from then on Javascript self-defining data object, just can use in a browser.

Step e 22, circulate this Javascript self-defining data object, described recommendation information is converted to the structure of HTML;

The recommendation information such as obtained is:

Bookid ': ' 1911369 ', ' bookname ': ' " reigning beauty virtue China " ' },

{ ' bookid ': ' 1736421 ', ' bookname ': ' " liking crowded " ' },

{ ' bookid ': ' 1421817 ', ' bookname ': ' " spinster is unrefined " ' },

{ ' bookid ': ' 1589709 ', ' bookname ': ' " sky clothing fawns " ' },

{ ' bookid ': ' 1296881 ', ' bookname ': ' " Hua Ying is heavy " }

So after obtaining these recommending datas by Javascript self-defining data object, in order to be presented in the display page of the reading model of browser, these data are then needed to be converted to HTML structure one by one, namely be converted to HTML and represent code, to show in the display page being loaded into described reading model.

Step e 23, is loaded into described HTML structure in described reading model and shows.

Be loaded in the display page of the reading model of browser by the aforementioned HTML structure obtained and show.Wherein, when being loaded in reading model, first by recommendation information concentrated loading to the Show Button, when the user clicks on a button, then recommendation information can be represented.With reference to Fig. 2, it is the example shown in reading model.Wherein 200 is the border of the reading model page, and 210 is content display area, and 220 and 230 is function button such as font pantograph, the functions such as skin change.240 is the Show Button at recommendation information loaded place, and when user clicks 240, it launches display interface 250, is then represented by various recommendation information in 250.

With reference to Fig. 3, it illustrates a kind of structural representation carrying out the device of recommendation information loading in the reading model of webpage of the present invention, comprising:

Handover module 310, shows to reading model for switching current page;

Preference analysis module 320, for recording the reading behavior information of browser client, and reads preference information according to this reading behavior information generation user;

Recommendation information acquisition module 330, for obtaining the recommendation information read preference with user and be associated according to described reading preference information;

Recommendation information loaded and displayed module 340, for loading and showing the recommendation information of described acquisition in the reading model of browser.

Preferably, the reading behavior information of described browser client comprises: the local collection information of browser or the network profile information of user;

With reference to Fig. 4, then described preference analysis module 320 comprises:

Read class website acquisition module 410, classify for the network address in the network profile information to described local collection information or user, and obtain the network address of reading class;

First preference information extraction module 420, for extracting the reading preference information of the reading information key word in the network address of reading class as user.

Preferably, described reading information key word comprises: at least one in the network address of described reading class in the classification of reading content, caption title, books ID, directory information, chapters and sections information.

Preferably, the reading behavior information of described browser client comprises: the reading histories recorded information of user under described reading model;

With reference to Fig. 5, then described preference analysis module comprises:

Second preference information extraction module 510, for extracting the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.

Preferably, the reading behavior information of described browser client comprises: the reading operations information of user under described reading model;

With reference to Fig. 6, then described preference analysis module comprises:

Mouse action intercepts module 610, for intercepting the rolling operation event of mouse or keyboard under described reading model;

3rd preference information extraction module 620, when the frequency of rolling operation event for record in reading reading content reaches predetermined threshold, records the classification of this reading content and/or the title reading preference information as user.

Preferably, with reference to Fig. 7, described preference analysis module also comprises:

Preference information judges logging modle 630, when the frequency of rolling operation event for record in reading reading content reaches predetermined threshold, the textual data of the described reading content of record and/or chapters and sections content joint number according to and/or the reading operations information of user and the corresponding relation of described reading content.

Preferably, with reference to Fig. 8, described recommendation information acquisition module comprises:

First preference information sending module 710, for when user does not log in browser, in browser side, reads preference information by the first preference information sending module using described user and sends searching request to search engine as search key;

First Search Results receiving processing module 720, for receiving the Search Results of search engine, and classifies the Search Results received, and obtains reading category information wherein;

First recommendation information sorting module 730, for sorting described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.

Preferably, with reference to Fig. 9, described acquisition according to described reading preference information to be read recommendation information that preference is associated and is undertaken by such as lower module with user:

Second preference information sending module 810, for after user logs in browser, at server side, reads preference information by the second preference information sending module using described user and sends searching request to search engine as search key;

Second Search Results receiving processing module 820, for receiving the Search Results of search engine, and classifies the Search Results received, and obtains reading category information wherein;

Second recommendation information sorting module 830, for sorting described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.

Preferably, with reference to Figure 10, comprise further:

First related information acquisition module 910, reads with user video class information, game class information, at least one commented in category information that preference information is associated for obtaining in described Search Results;

3rd recommendation information sorting module 920, for and at least one in described video class information, game class information, comment category information is sorted according to webpage temperature, and using the information classification of described sequence as recommendation information.

Preferably, comprise further with reference to Figure 11:

Second related information acquisition module 1010, for by after described Search Results classification, obtains the reading category information of wherein same author,

4th recommendation information sorting module 1020, for and using the reading category information of described same author as recommendation information.

Preferably, comprise first user preference information logging modle in browser side, for generating user according to this reading behavior information and read preference information when the non-logging status of user by described and be kept at browser side;

Comprise the second user preference information logging modle at server side, read preference information for this user when user's logging status and be kept at server side as one of the attribute information of user.

Preferably, with reference to Figure 12, describedly to comprise in recommendation information loaded and displayed module:

BHO asks initiation module 1110, for initiating browser auxiliary object BHO request to described browser;

First recommendation information loaded and displayed module 1120, shows for carrying by the recommendation information described in the injecting program acquisition of request use setting and being loaded in the reading model of browser.

Preferably, with reference to Figure 13, described first recommendation information loaded and displayed module comprises:

Data object generation module 1210, for obtaining described recommendation information by described injecting program, generates Javascript self-defining data object;

Cooperating measure module 1220, for this Javascript self-defining data object that circulates, is converted to the structure of HTML by described recommendation information;

Second recommendation information loaded and displayed module 1230, shows for described HTML structure being loaded in described reading model.

For system embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.

Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.

Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.

Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.

Method in the invention described above embodiment, device are applicable in various network or client environment, such as can be implemented in the computer equipment of such as PC device and so on, or can be implemented in other portable electric appts such as such as mobile phone, mobile communication equipment, personal digital assistant (PDA) or non-portable electronic equipment.

The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.

Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.

Above to a kind of method and apparatus carrying out recommendation information loading in the reading model of webpage provided by the present invention, be described in detail, apply specific case herein to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.

Claims (24)

1. in the reading model of webpage, carry out a method for recommendation information loading, it is characterized in that, comprising:
Browser switches current page and shows to reading model;
The reading behavior information of record browser client, and read preference information according to this reading behavior information generation user;
The recommendation information read preference with user and be associated is obtained according to described reading preference information;
Load in the reading model of browser and show the recommendation information of described acquisition; Describedly to load in the reading model of browser and the recommendation information showing described acquisition comprises: initiate browser auxiliary object BHO request to described browser; BHO is utilized to ask to use the recommendation information described in the acquisition of the injecting program of setting and be loaded in the reading model of browser to show.
2. method according to claim 1, is characterized in that, the reading behavior information of described browser client comprises: the local collection information of browser or the network profile information of user;
Then describedly generate according to this reading behavior information the step that user reads preference information and comprise:
Network address in the network profile information of described local collection information or user is classified, and obtains the network address of reading class;
Extract the reading preference information of the reading information key word in the network address of reading class as user.
3. method according to claim 2, is characterized in that, described reading information key word comprises: read at least one in the classification of reading content in the network address of class, caption title, books ID, directory information, chapters and sections information.
4. method according to claim 1, is characterized in that, the reading behavior information of described browser client comprises: the reading histories recorded information of user under described reading model;
Then describedly generate according to this reading behavior information the step that user reads preference information and comprise:
Extract the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.
5. method according to claim 1, is characterized in that, the reading behavior information of described browser client comprises: the reading operations information of user under described reading model;
Then describedly generate according to this reading behavior information the step that user reads preference information and comprise:
Intercept the rolling operation event of mouse or keyboard under described reading model;
When the frequency of rolling operation event of record reaches predetermined threshold in reading reading content, record the classification of this reading content and/or the title reading preference information as user.
6. method according to claim 5, is characterized in that, the reading preference information of described user comprises further:
When in reading reading content, the frequency of the rolling operation event of record reaches predetermined threshold, the corresponding relation of the textual data of the described reading content of record and/or the reading operations information of chapters and sections content-data and/or user and described reading content.
7. method according to claim 1, is characterized in that, described acquisition according to described reading preference information to be read the recommendation information that preference is associated and comprised with user:
When user does not log in browser, described user is read preference information and sends searching request to search engine as search key by browser side;
And the Search Results received is classified, obtain reading category information wherein;
Described reading category information is sorted according to webpage temperature, and using the information of described sequence as recommendation information.
8. method according to claim 1, is characterized in that, described acquisition according to described reading preference information to be read the recommendation information that preference is associated and comprised with user:
After user logs in browser, described user is read preference information and sends searching request to search engine as search key by server side;
And the Search Results received is classified, obtain reading category information wherein;
Described reading category information is sorted according to webpage temperature, and using the information of described sequence as recommendation information.
9. according to the method described in claim 7 or 8, it is characterized in that, comprise further:
Obtain and read with user video class information, game class information, at least one commented in category information that preference information is associated in described Search Results;
And at least one in described video class information, game class information, comment category information is sorted according to webpage temperature, and using the information classification of described sequence as recommendation information.
10. according to the method described in claim 7 or 8, it is characterized in that, comprise further:
After described Search Results classification, obtain the reading category information of wherein same author,
And using the reading category information of described same author as recommendation information.
11. methods according to claim 1, is characterized in that, describedly generate user according to this reading behavior information and read preference information and be kept at browser side when the non-logging status of user; When user's logging status, this user reads preference information and is kept at server side as one of the attribute information of user.
12. methods according to claim 11, is characterized in that, the described BHO of utilization request uses the recommendation information described in the acquisition of the injecting program of setting and is loaded in the reading model of browser the step carrying out showing and comprises:
Obtain described recommendation information by described injecting program, generate Javascript self-defining data object;
Circulate this Javascript self-defining data object, described recommendation information is converted to the structure of HTML;
Described HTML structure is loaded in described reading model and shows.
13. 1 kinds of devices carrying out recommendation information loading in the reading model of webpage, is characterized in that, comprising:
Handover module, shows to reading model for switching current page;
Preference analysis module, for recording the reading behavior information of browser client, and reads preference information according to this reading behavior information generation user;
Recommendation information acquisition module, for obtaining the recommendation information read preference with user and be associated according to described reading preference information;
Recommendation information loaded and displayed module, for loading and showing the recommendation information of described acquisition in the reading model of browser; Described recommendation information loaded and displayed module comprises:
BHO asks initiation module, for initiating browser auxiliary object BHO request to described browser;
First recommendation information loaded and displayed module, shows for being used the recommendation information described in the acquisition of the injecting program of setting by BHO request and be loaded in the reading model of browser.
14. devices according to claim 13, is characterized in that, the reading behavior information of described browser client comprises: the local collection information of browser or the network profile information of user;
Then described preference analysis module comprises:
Read class website acquisition module, classify for the network address in the network profile information to described local collection information or user, and obtain the network address of reading class;
First preference information extraction module, for extracting the reading preference information of the reading information key word in the network address of reading class as user.
15. devices according to claim 14, is characterized in that, described reading information key word comprises: read at least one in the classification of reading content in the network address of class, caption title, books ID, directory information, chapters and sections information.
16. devices according to claim 13, is characterized in that, the reading behavior information of described browser client comprises: the reading histories recorded information of user under described reading model;
Then described preference analysis module comprises:
Second preference information extraction module, for extracting the classification of the reading content in reading histories recorded information and/or the title reading preference information as user.
17. devices according to claim 13, is characterized in that, the reading behavior information of described browser client comprises: the reading operations information of user under described reading model;
Then described preference analysis module comprises:
Mouse action intercepts module, for intercepting the rolling operation event of mouse or keyboard under described reading model;
3rd preference information extraction module, when the frequency of rolling operation event for record in reading reading content reaches predetermined threshold, records the classification of this reading content and/or the title reading preference information as user.
18. devices according to claim 17, is characterized in that, also comprise:
Preference information judges logging modle, when frequency for the rolling operation event of record in reading reading content reaches predetermined threshold, the corresponding relation of the textual data of the described reading content of record and/or the reading operations information of chapters and sections content-data and/or user and described reading content.
19. devices according to claim 13, is characterized in that, described recommendation information acquisition module comprises:
First preference information sending module, for when user does not log in browser, in browser side, reads preference information by the first preference information sending module using described user and sends searching request to search engine as search key;
First Search Results receiving processing module, for receiving the Search Results of search engine, and classifies the Search Results received, and obtains reading category information wherein;
First recommendation information sorting module, for sorting described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.
20. devices according to claim 13, is characterized in that, described acquisition according to described reading preference information to be read recommendation information that preference is associated and undertaken by such as lower module with user:
Second preference information sending module, for after user logs in browser, at server side, reads preference information by the second preference information sending module using described user and sends searching request to search engine as search key;
Second Search Results receiving processing module, for receiving the Search Results of search engine, and classifies the Search Results received, and obtains reading category information wherein;
Second recommendation information sorting module, for sorting described reading category information according to webpage temperature, and using the information of described sequence as recommendation information.
21., according to the device described in claim 19 or 20, is characterized in that, comprise further:
First related information acquisition module, reads with user video class information, game class information, at least one commented in category information that preference information is associated for obtaining in described Search Results;
3rd recommendation information sorting module, for and at least one in described video class information, game class information, comment category information is sorted according to webpage temperature, and using the information classification of described sequence as recommendation information.
22., according to the device described in claim 19 or 20, is characterized in that, comprise further:
Second related information acquisition module, for by after described Search Results classification, obtains the reading category information of wherein same author,
4th recommendation information sorting module, for and using the reading category information of described same author as recommendation information.
23. devices according to claim 13, is characterized in that,
First user preference information logging modle is comprised, for generating user according to this reading behavior information and read preference information when the non-logging status of user by described and be kept at browser side in browser side;
Comprise the second user preference information logging modle at server side, read preference information for this user when user's logging status and be kept at server side as one of the attribute information of user.
24. devices according to claim 23, is characterized in that, described first recommendation information loaded and displayed module comprises:
Data object generation module, for obtaining described recommendation information by described injecting program, generates Javascript self-defining data object;
Cooperating measure module, for this Javascript self-defining data object that circulates, is converted to the structure of HTML by described recommendation information;
Second recommendation information loaded and displayed module, shows for described HTML structure being loaded in described reading model.
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