CN102819555A - Method and device for loading recommended information in read mode of webpage - Google Patents
Method and device for loading recommended information in read mode of webpage Download PDFInfo
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- CN102819555A CN102819555A CN2012102185338A CN201210218533A CN102819555A CN 102819555 A CN102819555 A CN 102819555A CN 2012102185338 A CN2012102185338 A CN 2012102185338A CN 201210218533 A CN201210218533 A CN 201210218533A CN 102819555 A CN102819555 A CN 102819555A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9577—Optimising the visualization of content, e.g. distillation of HTML documents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
The invention provides a method and a device for loading recommended information in a read mode of a webpage and relates to the technical field of a browser. The method comprises the steps of switching the current page to the read mode to be displayed, recording the reading behavior information of a browser user, generating user reading preference information according to the reading behavior information, acquiring recommended information related to the user reading preference according to the reading preference information, and loading and displaying the acquired recommended information in the reading mode of the browser. According to the method and the device disclosed by the invention, the scope of information data display is expanded, related information loaded according to the reading behavior of the user can be displayed in the reading mode, and more individualized information related to reading can be provided for the user in time.
Description
Technical field
The present invention relates to the browser technology field, particularly relate to a kind of method and apparatus that recommendation information loads that in the reading model of webpage, carries out.
Background technology
Browser is meant can the display web page server or the file content of file system, and lets a kind of software of user and these file interactions.Web browser is mainly mutual and obtain webpage through HTTP (HTTP) agreement and web page server; These webpages are by URL (Uniform/Universal Resource Locator; URL) specifies; The form of its web page contents is generally HTML (Hypertext Markup Language Source, HTML).The user can be through the various web page contents in the browser browse network; And there is a kind of reading model in the prior art; It is used for the core content of info web (such as the novel content of novel webpage) is extracted; Put into reading model and show, compare single mode of reading, have loading velocity advantages of higher core content by webpage.
But in the prior art; Be that the simple core content with info web extracts; Being loaded on reading model then shows; Information data is showed narrow range, shows in reading model and can't load relevant information according to user's reading behavior, also can't in time to the user more customized informations relevant with its reading be provided.
Summary of the invention
Technical matters to be solved by this invention provides a kind of method and apparatus that recommendation information loads that in the reading model of webpage, carries out; Solve in the prior art; Information data is showed narrow range; In reading model, show the problem of the customized information relevant more than also can't in time providing more with its reading to the user and can't load relevant information according to user's reading behavior.
In order to address the above problem, the invention discloses a kind of method and apparatus that recommendation information loads that in the reading model of webpage, carries out, comprising:
Switching current page shows to reading model;
The reading behavior information of record browser client, and comply with this reading behavior information generation user and read preference information;
The said reading preference information of foundation obtains with the user reads the recommendation information that preference is associated;
In the reading model of browser, load and show the said recommendation information that obtains.
Preferably, the reading behavior information of said browser client comprises: the local collection information of browser or user's network profile information;
Then said step of reading preference information according to this reading behavior information generation user comprises:
Network address in said local collection information or user's the network profile information is classified, and obtains the network address of reading class;
Reading information key word in the network address of extraction reading class is as user's reading preference information.
Preferably, said reading information key word comprises: at least one in the network address of said reading class in the classification of reading content, caption title, books ID, directory information, the chapters and sections information.
Preferably, the reading behavior information of said browser client comprises: user's reading history information under the said reading model;
Then said step of reading preference information according to this reading behavior information generation user comprises:
The classification of the reading content in the extraction reading history information and/or title are as user's reading preference information.
Preferably, the reading behavior information of said browser client comprises: user's reading operation information under the said reading model;
Then said step of reading preference information according to this reading behavior information generation user comprises:
Intercept the rolling operation incident of mouse under the said reading model or keyboard;
When the frequency of the rolling operation incident of record reaches predetermined threshold in reading content is read, write down classification and/or the title of this reading content reading preference information as the user.
Preferably, said user's reading preference information further comprises:
When the frequency of the rolling operation incident of record reaches predetermined threshold in reading content is read, the textual data of the said reading content of record and/or chapters and sections content joint number certificate and/or user's the reading operation information and the corresponding relation of said reading content.
Preferably, the said reading preference information of said foundation obtains and reads the recommendation information that preference is associated with the user and comprise:
When the user did not login browser, the browser side was read preference information with said user and is sent searching request to search engine as search key;
And the Search Results that receives classified, obtain reading category information wherein;
Said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
Preferably, the said reading preference information of said foundation obtains and reads the recommendation information that preference is associated with the user and comprise:
After the user logined browser, server side was read preference information with said user and is sent searching request to search engine as search key;
And the Search Results that receives classified, obtain reading category information wherein;
Said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
Preferably, further comprise:
Obtain and read at least a in video class information that preference information is associated, game class information, the comment category information with the user in the said Search Results;
And at least a in said video class information, game class information, the comment category information sorted according to the webpage temperature, and with the information classification of said ordering as recommendation information.
Preferably, further comprise:
After said Search Results classification, obtain wherein same author's reading category information,
And with said same author's reading category information as recommendation information.
Preferably, saidly generate user according to this reading behavior information and read preference information and when the non-logging status of user, be kept at the browser side; This user reads preference information and is kept at server side as one of attribute of user information when user's logging status.
Preferably, saidly in the reading model of browser, load and show that the step of the said recommendation information that obtains comprises:
Initiate browser auxiliary object BHO request to said browser;
The injecting program of use setting through request obtains described recommendation information and is loaded in the reading model of browser and shows.
Preferably, the said injecting program of setting through the request use obtains described recommendation information and is loaded on the step that shows in the reading model of browser and comprises:
Obtain said recommendation information through said injecting program, generate Javascript self-defining data object;
This Javascript self-defining data object that circulates converts said recommendation information into the structure of HTML;
Said HTML structure is loaded in the said reading model shows.
Accordingly, disclosed herein as well is a kind of device that recommendation information loads that in the reading model of webpage, carries out, comprising:
Handover module is used to switch current page and shows to reading model;
The preference analysis module is used to write down the reading behavior information of browser client, and complies with this reading behavior information generation user and read preference information;
The recommendation information acquisition module is used for obtaining with the user and reading the recommendation information that preference is associated according to said reading preference information;
Recommendation information loaded and displayed module is used for loading and showing the said recommendation information that obtains at the reading model of browser.
Preferably, the reading behavior information of said browser client comprises: the local collection information of browser or user's network profile information;
Then said preference analysis module comprises:
Read a type network address acquisition module, be used for the network address of said local collection information or user's network profile information is classified, and obtain the network address of reading type;
The first preference information extraction module is used for extracting the reading preference information of the reading information key word of the network address of reading class as the user.
Preferably, said reading information key word comprises: at least one in the network address of said reading class in the classification of reading content, caption title, books ID, directory information, the chapters and sections information.
Preferably, the reading behavior information of said browser client comprises: user's reading history information under the said reading model;
Then said preference analysis module comprises:
The second preference information extraction module is used for extracting classification and/or the title of the reading content of the reading history information reading preference information as the user.
Preferably, the reading behavior information of said browser client comprises: user's reading operation information under the said reading model;
Then said preference analysis module comprises:
Mouse action is intercepted module, is used to intercept the rolling operation incident of mouse under the said reading model or keyboard;
The 3rd preference information extraction module is used for when the frequency of reading content being read the rolling operation incident of record reaches predetermined threshold, writes down classification and/or the title of this reading content reading preference information as the user.
Preferably, also comprise:
Preference information is judged logging modle; Be used for when the frequency of reading content being read the rolling operation incident of record reaches predetermined threshold the textual data of the said reading content of record and/or chapters and sections content joint number certificate and/or user's the reading operation information and the corresponding relation of said reading content.
Preferably, said recommendation information acquisition module comprises:
The first preference information sending module is used for when the user does not login browser, in the browser side, by the first preference information sending module said user is read preference information and sends searching request to search engine as search key;
The first Search Results receiving processing module is used to receive the Search Results of search engine, and the Search Results that receives is classified, and obtains reading category information wherein;
The first recommendation information sorting module is used for said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
Preferably, the said reading preference information of said foundation obtains with the user and reads recommendation information that preference is associated through carrying out like lower module:
The second preference information sending module is used for after the user logins browser, at server side, by the second preference information sending module said user is read preference information and sends searching request to search engine as search key;
The second Search Results receiving processing module is used to receive the Search Results of search engine, and the Search Results that receives is classified, and obtains reading category information wherein;
The second recommendation information sorting module is used for said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
Preferably, further comprise:
The first related information acquisition module, what be used for obtaining said Search Results reads at least a in video class information that preference information is associated, game class information, the comment category information with the user;
The 3rd recommendation information sorting module is used for and said video class information, game class information, comment at least a of category information is sorted according to the webpage temperature, and with the information classification of said ordering as recommendation information.
Preferably, further comprise:
The second related information acquisition module is used for obtaining wherein same author's reading category information with after the said Search Results classification,
The 4th recommendation information sorting module, be used for and with said same author's reading category information as recommendation information.
Preferably,
Comprise the first user preference information logging modle in the browser side, be used for generating user according to this reading behavior information and reading preference information and be kept at the browser side when the non-logging status of user said;
Comprise the second user preference information logging modle at server side, be used for when user's logging status this user and read preference information and be kept at server side as one of attribute of user information.
Preferably, saidly comprise in recommendation information loaded and displayed module:
BHO asks initiation module, is used for initiating browser auxiliary object BHO request to said browser;
The first recommendation information loaded and displayed module is used for carrying through request and uses the injecting program of setting to obtain described recommendation information and the reading model that is loaded on browser shows.
Preferably, the said first recommendation information loaded and displayed module comprises:
The data object generation module is used for obtaining said recommendation information through said injecting program, generates Javascript self-defining data object;
The Structure Conversion module, this Javascript self-defining data object that is used to circulate converts said recommendation information into the structure of HTML;
The second recommendation information loaded and displayed module is used for that said HTML structure is loaded into said reading model and shows.
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 who generates the personalization that is directed against this user reads preference information; Obtain with the user according to said reading preference information then and read the relevant recommendation information of preference; Again said recommendation information is loaded in the reading model of browser and shows, so, expanded the scope that information data is showed; Can in reading model, show the information of the personalization relevant more than in time providing more with loading relevant information according to user's reading behavior with its reading to the user.
Description of drawings
Fig. 1 is a kind of schematic flow sheet that in the reading model of webpage, carries out the method and apparatus of recommendation information loading of the present invention;
Fig. 2 is a kind of example of the present invention when in reading model, showing;
Fig. 3 is a kind of structural representation that in the reading model of webpage, carries out the device of recommendation information loading 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 information acquisition 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 representations 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 make above-mentioned purpose of the present invention, feature and advantage can be more obviously understandable, below in conjunction with accompanying drawing and embodiment the present invention done further detailed explanation.
One of core concept of the present invention is; Record current browsing device user's reading behavior information; Generate user according to this reading behavior information then and read preference information, go to obtain with the user in server or other devices according to this personalized reading preference information again and read the recommendation information that preference is associated, be loaded on recommendation information in the browser reading model again and show; So in reading model; Expanded the scope that information data is showed, can the reading behavior according to the user have been loaded relevant information and in reading model, show, the information of the personalization relevant more than in time providing more with its reading to the user.
With reference to Fig. 1, show a kind of schematic flow sheet that in the reading model of webpage, carries out the method for recommendation information loading of the present invention, specifically can comprise:
Step 110 is switched current page and is shown to reading model;
Reading model is provided with the handoff functionality button, when the user browses a webpage, can click the reading model switching push button, and sending mode switching command, notice browser switch the entering reading model with the content of current web page and show.
Reading behavior information with browser client is personalizing parameters, analyzes the user who generates this browser client and reads preference information.
Preferably, the reading behavior information of said browser client comprises: the local collection information of browser or user's network profile information;
Based on the local collection information of browser or user's network profile information, then said step of reading preference information according to this reading behavior information generation user comprises:
Steps A 11 is classified to the network address in said local collection information or user's the network profile information, and obtains the network address of reading class;
Under the situation of user, can the network address of obtaining in the local collection information be classified the network address in the local collection information, and obtain the network address of reading class for login.
Under the situation of user login, can obtain the user storage network address in the network profile information of server beyond the clouds, then the network address in the network profile information is classified, and obtain the network address of reading type.
Wherein network address in the local collection information or the network address in the network profile information are carried out the branch time-like, can classify, be about to belong to and have the network address that belongs to same classification keyword and be divided into one type according to the corresponding content keyword of network address.Be divided into novel such as " novel " " fantasy novel " and read class.Certainly, concrete sorting technique the present invention does not limit it.
After the network address in the local collection information or the network address in the network profile information are classified; Exist and read a type network address; Such as the novel categories of websites, film review categories of websites etc., novel categories of websites further also can be divided into thinner classification; Such as the chivalrous novel classification of celestial being, pass through novel classification etc.The present invention then reads a type network address with this type and extracts.
Steps A 12, the reading information key word in the network address of extraction reading class is as user's reading preference information.
Wherein, said reading information key word also can comprise: at least one in the network address of said reading class in the classification of reading content, caption title, books ID, directory information, the chapters and sections information.
The keyword that there is its general character in each classification such as for the aforementioned novel classification of passing through, then can extract such other key word and " pass through ", as user's reading preference information.Also such as, can extract and read the caption title that exists in type network address, wait for as key word such as " putting to death celestial being ".
Preferably, the reading behavior information of said browser client comprises: user's reading history information under the said reading model;
Based on user's under the said reading model reading history information, then said step of reading preference information according to this reading behavior information generation user comprises:
Steps A 21, the classification of the reading content in the extraction reading history information and/or title are as user's reading preference information.
Read a novel that is named as " getting back to the Ming Dynasty " such as the user, the classification of this novel content belongs to passes through, and so then can " pass through " the reading preference information as the user, perhaps directly will " get back to the Ming Dynasty " as user's reading preference information.
In the present invention; User's reading history information carries out record by reading model; When adopting reading model to read novel such as the user; The network address of the novel that then will read, classification or title carry out record, and this step can be extracted the classification of reading the reading content in the history information and/or the title reading preference information as the user so.
Preferably, the reading behavior information of said browser client comprises: user's reading operation information under the said reading model;
Based on user's under the said reading model reading operation information, then said step of reading preference information according to this reading behavior information generation user comprises:
Step C11 intercepts the rolling operation incident of mouse under the said reading model or keyboard;
When the user reads under reading model; May use mouse or keyboard operation display interface to roll up or down; To read the information in the display interface, under reading model, during with mouse or the rolling of keyboard operation display interface, then can intercept said rolling operation incident as the user so.
Step C12 when the frequency of the rolling operation incident of record reaches predetermined threshold in reading content is read, writes down classification and/or the title of this reading content reading preference information as the user.
When intercepting said rolling operation incident, can write down the frequency of rolling operation.In the present invention; Can according to the priori experience threshold value be set in advance; When the frequency of said rolling operation reaches threshold value, when reaching 100 times, then write down classification and/or the title of this reading content reading preference information as the user; Under reading model, read the e-novel of aforementioned " getting back to the Ming Dynasty " such as the user; It has rolled downwards 100 times, to read the content of this novel, can the classification of this novel " be passed through " and/or title " is got back to the Ming Dynasty " as user's reading preference information so.
Wherein, said user's reading preference information further comprises:
When the frequency of the rolling operation incident of record reaches predetermined threshold in reading content is read, the textual data of the said reading content of record and/or chapters and sections content joint number certificate and/or user's the reading operation information and the corresponding relation of said reading content.
" getting back to the Ming Dynasty " e-novel such as aforesaid user's reading; When said rolling operation incident frequency reaches 100 times, textual data and/or the chapters and sections content joint number that can write down " getting back to the Ming Dynasty " according to and/or the corresponding relation of the current reading content of user's reading operation information and user.Such as the current reading of user be the 30th chapters and sections of " getting back to the Ming Dynasty ", the corresponding relation of the content-data that each the chapters and sections content-data that can " get back to the Ming Dynasty " so etc. and active user read carries out record.
Getting access to after the user reads preference information, can read preference information according to the user and obtain with the user and read the recommendation information that preference information is associated.When " passing through " as user preference information such as aforementioned key word; Can from devices such as server, obtain and " pass through " information that is associated with key word; Such as the various novels of " passing through " theme, the film and television of " passing through " theme, " passing through " theme play etc.
Preferably, the said reading preference information of said foundation obtains and reads the recommendation information that preference is associated with the user and comprise:
Step D11, when the user did not login browser, the browser side was read preference information with said user and is sent searching request to search engine as search key;
In the present invention, there is a kind of account system in browser, and the user logins at browser; It links to each other with the server in high in the clouds; Can the customized information of login user be stored in the server in high in the clouds, also can be user personalized information is extremely local synchronously from the server in high in the clouds, also can directly use this user's of high in the clouds server customized information; Be that the server that the user can login browser and high in the clouds carries out can using the function of the server side in high in the clouds alternately.
When the user did not login browser, it can only use the function of browser side so, can the aforementioned user who obtains be read preference information in the browser side so and send searching request to search engine as search key." pass through " such as aforementioned keyword, will " pass through " as search key and send searching request to search engine.
Step D12, and the Search Results that receives classified, reading category information wherein obtained;
" pass through " when retrieving based on said key word such as search engine, possibly obtain the various contents relevant with " passing through " key word.The present invention then these contents classifies, such as reading category informations such as the novel that is divided into various types of passing through, the video class information of type of passing through, the game class information of type of passing through, comment category information of type of passing through or the like.This step is then extracted reading category information wherein.
Step D13 sorts said reading category information according to the webpage temperature, and with the information of said ordering as recommendation information.
Such as for the relevant reading category information of " passing through " key word: type of passing through novel.It possibly comprise type of the passing through novel of each version of each big novel class website of multi-section; The various novels that this step then will type of passing through so sort by the temperature of its corresponding webpage; Click volume such as by its webpage sorts; Also can sort according to its rank (such as the monthly ticket ranking list of starting point novel website) at certain list, then with the ordering information as recommendation information.In embodiments of the present invention, can select to sort forward at least one as recommendation information.
Preferably, the said reading preference information of said foundation obtains and reads the recommendation information that preference is associated with the user and comprise:
Step D21, after the user logined browser, server side was read preference information with said user and is sent searching request to search engine as search key;
As previously mentioned, the present invention can be provided with a kind of account system, after the user logins browser, can with the server interaction of motion, can said user be read preference information by server side so and send searching request to search engine as search key.
Step D22, and the Search Results that receives classified, reading category information wherein obtained;
This step and step D12 are similar.When step D22 can carry out in the browser side, also can carry out by server beyond the clouds.
Step D23 sorts said reading category information according to the webpage temperature, and with the information of said ordering as recommendation information.
This step and D13 are similar.Certainly, but step D23 browser side carry out, also can carry out by server beyond the clouds.When step D23 carries out beyond the clouds, then resulting recommendation information is sent to the browser of user side.
Wherein, saidly generate user according to this reading behavior information and read preference information and when the non-logging status of user, be kept at the browser side;
This user reads preference information and is kept at server side as one of attribute of user information when user's logging status.
But long-term accumulation user's like this reading preference information, and can revise according to user's reading behavior at any time.
Preferably, further comprise:
Step D31 obtains and reads at least a in video class information that preference information is associated, game class information, the comment category information with the user in the said Search Results;
After classifying such as aforementioned Search Results; Possibly obtain such as reading category informations such as the novels that is divided into various types of passing through; The video class information of type of passing through; The game class information of type of passing through, the comment category information of type of passing through wherein one or more, this step can be obtained and read at least a in video class information that preference information is associated, game class information, the comment category information with the user in the said Search Results so.
Step D32, and at least a in said video class information, game class information, the comment category information sorted according to the webpage temperature, and with the information classification of said ordering as recommendation information.
Information in the above-mentioned classification also can be according to parameters such as its click volumes as the ordering of webpage temperature and performance, then with the information classification of said ordering as recommendation information.Wherein, information that also can at least one ordering in the information classification of ordering is forward is as recommendation information.
Preferably, further comprise:
Step D41 after the classification of said Search Results, obtains wherein same author's reading category information, and with said same author's reading category information as recommendation information.
Promptly write by author A, can in the classification of Search Results, obtain other works informations of author A so such as the aforementioned novel " getting back to the Ming Dynasty " that passes through, then with said same author's reading category information as recommendation information.
Step 140 loads in the reading model of browser and shows the said recommendation information that obtains.
After getting access to recommendation information, then can in the reading model of browser, load and show the said recommendation information that obtains.
Preferably, saidly in the reading model of browser, load and show that the step of the said recommendation information that obtains comprises:
Step e 11 is initiated browser auxiliary object BHO request to said browser;
BHO (Browser Helper Object; The browser auxiliary object); Be Microsoft release as the industrywide standard of browser to the open interactive interface of third party programmer, just can get into " interactive interface " (the INTERACTIVED Interface) in browser field through simple code.Through this interface, can obtain the behavior of browser.Therefore embodiment of the invention BHO request capable of using is used the injecting program of setting to obtain described recommendation information and is loaded in the reading model of browser and shows.
Step e 12, the injecting program of use setting through request are obtained described recommendation information and are loaded in the reading model of browser and show.
Wherein, the said injecting program of setting through the request use obtains described recommendation information and is loaded on the step that shows in the reading model of browser and comprises:
Step e 21 is obtained said recommendation information through said injecting program, generates Javascript self-defining data object;
The BHO request is the SetSite function that calls an IObjectWithSite interface of browser; Browser can be given the C++ program of initiating the BHO request its Browser object after this interface was called; The C++ program can be used this Browser object then, injects Javascript self-defining data object.Through in browser, injecting the self-defined object of JavaScript language, can make the JavaScript code of reading model carry out certain operations, such as the operation of step e 22 and step e 23.
Wherein the statement of SetSite function is following:
HRESULT?SetSite(IUnknown*pUnkSite)
Wherein, can obtain the IWebBrowser2 interface of Browser object through this pointer of pUnkSite; Obtain active document automation object object from the IWebBrowser2 interface then, from this object acquisition IHTMLDocument2 interface, call get Script method again, obtain the script object; This script object shows as the IDispatchEx interface, from the IDispatchEx interface, calls the GetDispID method, and the GetDispID method is the ID of one of new JavaScript object acquisition; Call the InvokeEx method again, this ID is mapped as the Javascript self-defining data object of correspondence, from then on Javascript self-defining data object just can use in browser.
Step e 22, this Javascript self-defining data object that circulates converts said recommendation information into the structure of HTML;
Such as the recommendation information of obtaining be:
Bookid ': ' 1911369 ', ' bookname ': ' " reigning beauty virtue China " ',
' bookid ': ' 1736421 ', ' bookname ': ' " liking crowded " ',
' bookid ': ' 1421817 ', ' bookname ': ' " spinster is unrefined " ',
' bookid ': ' 1589709 ', ' bookname ': ' " day clothing is fawned on more " ',
' bookid ': ' 1296881 ', ' bookname ': ' " Hua Ying is heavy " }
So after obtaining these recommending datas by Javascript self-defining data object; In the display page for the reading model that it is presented at browser; Then need convert these data into the HTML structure one by one; Promptly convert HTML into and represent code, to show in the display page that is loaded into said reading model.
Step e 23 is loaded into said HTML structure in the said reading model and shows.
Be about to show in the display page of reading model that the aforementioned HTML structure that obtains is loaded into browser.Wherein, when being loaded in the reading model, can at first recommendation information be concentrated to be loaded in a Show Button, when user's button click, again recommendation information represented.With reference to Fig. 2, its example in reading model, showing.Wherein 200 is the border of the reading model page, and 210 is the content viewing area, 220 and 230 be function button such as font pantograph, functions such as skin change.240 the Show Buttons for recommendation information loaded place, when the user clicked 240, it launched then various recommendation informations to be represented in the display interface 250,250.
With reference to Fig. 3, it shows a kind of structural representation that in the reading model of webpage, carries out the device of recommendation information loading of the present invention, comprising:
Recommendation information acquisition module 330 is used for obtaining with the user and reading the recommendation information that preference is associated according to said reading preference information;
Recommendation information loaded and displayed module 340 is used for loading and showing the said recommendation information that obtains at the reading model of browser.
Preferably, the reading behavior information of said browser client comprises: the local collection information of browser or user's network profile information;
With reference to Fig. 4, then said preference analysis module 320 comprises:
Read a type network address acquisition module 410, be used for the network address of said local collection information or user's network profile information is classified, and obtain the network address of reading type;
The first preference information extraction module 420 is used for extracting the reading preference information of the reading information key word of the network address of reading class as the user.
Preferably, said reading information key word comprises: at least one in the network address of said reading class in the classification of reading content, caption title, books ID, directory information, the chapters and sections information.
Preferably, the reading behavior information of said browser client comprises: user's reading history information under the said reading model;
With reference to Fig. 5, then said preference analysis module comprises:
The second preference information extraction module 510 is used for extracting classification and/or the title of the reading content of the reading history information reading preference information as the user.
Preferably, the reading behavior information of said browser client comprises: user's reading operation information under the said reading model;
With reference to Fig. 6, then said preference analysis module comprises:
Mouse action is intercepted module 610, is used to intercept the rolling operation incident of mouse under the said reading model or keyboard;
The 3rd preference information extraction module 620 is used for when the frequency of reading content being read the rolling operation incident of record reaches predetermined threshold, writes down classification and/or the title of this reading content reading preference information as the user.
Preferably, with reference to Fig. 7, said preference analysis module also comprises:
Preference information is judged logging modle 630; Be used for when the frequency of reading content being read the rolling operation incident of record reaches predetermined threshold the textual data of the said reading content of record and/or chapters and sections content joint number certificate and/or user's the reading operation information and the corresponding relation of said reading content.
Preferably, with reference to Fig. 8, said recommendation information acquisition module comprises:
The first preference information sending module 710 is used for when the user does not login browser, in the browser side, by the first preference information sending module said user is read preference information and sends searching request to search engine as search key;
The first Search Results receiving processing module 720 is used to receive the Search Results of search engine, and the Search Results that receives is classified, and obtains reading category information wherein;
The first recommendation information sorting module 730 is used for said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
Preferably, with reference to Fig. 9, the said reading preference information of said foundation obtains with the user and reads recommendation information that preference is associated through carrying out like lower module:
The second preference information sending module 810 is used for after the user logins browser, at server side, by the second preference information sending module said user is read preference information and sends searching request to search engine as search key;
The second Search Results receiving processing module 820 is used to receive the Search Results of search engine, and the Search Results that receives is classified, and obtains reading category information wherein;
The second recommendation information sorting module 830 is used for said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
Preferably, with reference to Figure 10, further comprise:
The first related information acquisition module 910, what be used for obtaining said Search Results reads at least a in video class information that preference information is associated, game class information, the comment category information with the user;
The 3rd recommendation information sorting module 920 is used for and said video class information, game class information, comment at least a of category information is sorted according to the webpage temperature, and with the information classification of said ordering as recommendation information.
Preferably, further comprise with reference to Figure 11:
The second related information acquisition module 1010 is used for obtaining wherein same author's reading category information with after the said Search Results classification,
The 4th recommendation information sorting module 1020, be used for and with said same author's reading category information as recommendation information.
Preferably, comprise the first user preference information logging modle, be used for generating user according to this reading behavior information and reading preference information and be kept at the browser side when the non-logging status of user said in the browser side;
Comprise the second user preference information logging modle at server side, be used for when user's logging status this user and read preference information and be kept at server side as one of attribute of user information.
Preferably, with reference to Figure 12, saidly comprise in recommendation information loaded and displayed module:
BHO asks initiation module 1110, is used for initiating browser auxiliary object BHO request to said browser;
The first recommendation information loaded and displayed module 1120 is used for carrying through request and uses the injecting program of setting to obtain described recommendation information and the reading model that is loaded on browser shows.
Preferably, with reference to Figure 13, the said first recommendation information loaded and displayed module comprises:
Data object generation module 1210 is used for obtaining said recommendation information through said injecting program, generates Javascript self-defining data object;
The second recommendation information loaded and displayed module 1230 is used for that said HTML structure is loaded into said reading model and shows.
For system embodiment, because it is similar basically with method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.
At last; Also need to prove; In this article; Relational terms such as first and second grades only is used for an entity or operation are made a distinction with another entity or operation, and not necessarily requires or hint relation or the order that has any this reality between these entities or the operation.
Those skilled in the art should understand that embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of the embodiment of complete hardware embodiment, complete software implementation example or combination software and hardware aspect.And the present invention can be employed in the form that one or more computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) that wherein include computer usable program code go up the computer program of implementing.
Method among the invention described above embodiment, device are applicable in diverse network or the client environment; For example can be implemented in the computer equipment such as PC device, perhaps can be implemented in such as in other portable electric appts such as mobile phone, mobile communication equipment, PDA(Personal Digital Assistant) or the non-portable electric appts.
The present invention is that reference is described according to the process flow diagram and/or the block scheme of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block scheme and/or square frame and process flow diagram and/or the block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, make the instruction of carrying out through the processor of computing machine or other programmable data processing device produce to be used for the device of the function that is implemented in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in ability vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work; Make the instruction that is stored in this computer-readable memory produce the manufacture that comprises command device, this command device is implemented in the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing device; Make on computing machine or other programmable devices and to carry out the sequence of operations step producing computer implemented processing, thereby the instruction of on computing machine or other programmable devices, carrying out is provided for being implemented in the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
Although described the preferred embodiments of the present invention, in a single day those skilled in the art get the basic inventive concept could of cicada, then can make other change and modification to these embodiment.So accompanying claims is intended to be interpreted as all changes and the modification that comprises preferred embodiment and fall into the scope of the invention.
More than to a kind of method and apparatus that recommendation information loads that in the reading model of webpage, carries out provided by the present invention; Carried out detailed introduction; Used concrete example among this paper principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as limitation of the present invention.
Claims (26)
1. one kind is carried out the method that recommendation information loads in the reading model of webpage, it is characterized in that, comprising:
Switching current page shows to reading model;
The reading behavior information of record browser client, and comply with this reading behavior information generation user and read preference information;
The said reading preference information of foundation obtains with the user reads the recommendation information that preference is associated;
In the reading model of browser, load and show the said recommendation information that obtains.
2. method according to claim 1 is characterized in that, the reading behavior information of said browser client comprises: the local collection information of browser or user's network profile information;
Then said step of reading preference information according to this reading behavior information generation user comprises:
Network address in said local collection information or user's the network profile information is classified, and obtains the network address of reading class;
Reading information key word in the network address of extraction reading class is as user's reading preference information.
3. method according to claim 1 is characterized in that, said reading information key word comprises: at least one in the network address of said reading class in the classification of reading content, caption title, books ID, directory information, the chapters and sections information.
4. method according to claim 1 is characterized in that, the reading behavior information of said browser client comprises: user's reading history information under the said reading model;
Then said step of reading preference information according to this reading behavior information generation user comprises:
The classification of the reading content in the extraction reading history information and/or title are as user's reading preference information.
5. method according to claim 1 is characterized in that, the reading behavior information of said browser client comprises: user's reading operation information under the said reading model;
Then said step of reading preference information according to this reading behavior information generation user comprises:
Intercept the rolling operation incident of mouse under the said reading model or keyboard;
When the frequency of the rolling operation incident of record reaches predetermined threshold in reading content is read, write down classification and/or the title of this reading content reading preference information as the user.
6. method according to claim 5 is characterized in that, said user's reading preference information further comprises:
When the frequency of the rolling operation incident of record reaches predetermined threshold in reading content is read, the textual data of the said reading content of record and/or chapters and sections content joint number certificate and/or user's the reading operation information and the corresponding relation of said reading content.
7. method according to claim 1 is characterized in that, the said reading preference information of said foundation obtains to be read the recommendation information that preference is associated with the user and comprise:
When the user did not login browser, the browser side was read preference information with said user and is sent searching request to search engine as search key;
And the Search Results that receives classified, obtain reading category information wherein;
Said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
8. method according to claim 1 is characterized in that, the said reading preference information of said foundation obtains to be read the recommendation information that preference is associated with the user and comprise:
After the user logined browser, server side was read preference information with said user and is sent searching request to search engine as search key;
And the Search Results that receives classified, obtain reading category information wherein;
Said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
9. according to the method described in claim 7 or 8, it is characterized in that, further comprise:
Obtain and read at least a in video class information that preference information is associated, game class information, the comment category information with the user in the said Search Results;
And at least a in said video class information, game class information, the comment category information sorted according to the webpage temperature, and with the information classification of said ordering as recommendation information.
10. according to the method described in claim 7 or 8, it is characterized in that, further comprise:
After said Search Results classification, obtain wherein same author's reading category information,
And with said same author's reading category information as recommendation information.
11. method according to claim 1 is characterized in that, saidly generates user according to this reading behavior information and reads preference information and when the non-logging status of user, be kept at the browser side; This user reads preference information and is kept at server side as one of attribute of user information when user's logging status.
12. method according to claim 1 is characterized in that, saidly in the reading model of browser, loads and shows that the step of the said recommendation information that obtains comprises:
Initiate browser auxiliary object BHO request to said browser;
The injecting program of use setting through request obtains described recommendation information and is loaded in the reading model of browser and shows.
13. method according to claim 12 is characterized in that, the said injecting program of setting through the request use obtains described recommendation information and is loaded on the step that shows in the reading model of browser and comprises:
Obtain said recommendation information through said injecting program, generate Javascript self-defining data object;
This Javascript self-defining data object that circulates converts said recommendation information into the structure of HTML;
Said HTML structure is loaded in the said reading model shows.
14. one kind is carried out the device that recommendation information loads in the reading model of webpage, it is characterized in that, comprising:
Handover module is used to switch current page and shows to reading model;
The preference analysis module is used to write down the reading behavior information of browser client, and complies with this reading behavior information generation user and read preference information;
The recommendation information acquisition module is used for obtaining with the user and reading the recommendation information that preference is associated according to said reading preference information;
Recommendation information loaded and displayed module is used for loading and showing the said recommendation information that obtains at the reading model of browser.
15. device according to claim 14 is characterized in that, the reading behavior information of said browser client comprises: the local collection information of browser or user's network profile information;
Then said preference analysis module comprises:
Read a type network address acquisition module, be used for the network address of said local collection information or user's network profile information is classified, and obtain the network address of reading type;
The first preference information extraction module is used for extracting the reading preference information of the reading information key word of the network address of reading class as the user.
16. device according to claim 14 is characterized in that, said reading information key word comprises: at least one in the network address of said reading class in the classification of reading content, caption title, books ID, directory information, the chapters and sections information.
17. device according to claim 14 is characterized in that, the reading behavior information of said browser client comprises: user's reading history information under the said reading model;
Then said preference analysis module comprises:
The second preference information extraction module is used for extracting classification and/or the title of the reading content of the reading history information reading preference information as the user.
18. device according to claim 14 is characterized in that, the reading behavior information of said browser client comprises: user's reading operation information under the said reading model;
Then said preference analysis module comprises:
Mouse action is intercepted module, is used to intercept the rolling operation incident of mouse under the said reading model or keyboard;
The 3rd preference information extraction module is used for when the frequency of reading content being read the rolling operation incident of record reaches predetermined threshold, writes down classification and/or the title of this reading content reading preference information as the user.
19. device according to claim 18 is characterized in that, also comprises:
Preference information is judged logging modle; Be used for when the frequency of reading content being read the rolling operation incident of record reaches predetermined threshold the textual data of the said reading content of record and/or chapters and sections content joint number certificate and/or user's the reading operation information and the corresponding relation of said reading content.
20. device according to claim 14 is characterized in that, said recommendation information acquisition module comprises:
The first preference information sending module is used for when the user does not login browser, in the browser side, by the first preference information sending module said user is read preference information and sends searching request to search engine as search key;
The first Search Results receiving processing module is used to receive the Search Results of search engine, and the Search Results that receives is classified, and obtains reading category information wherein;
The first recommendation information sorting module is used for said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
21. device according to claim 14 is characterized in that, the said reading preference information of said foundation obtains with the user and reads recommendation information that preference is associated through carrying out like lower module:
The second preference information sending module is used for after the user logins browser, at server side, by the second preference information sending module said user is read preference information and sends searching request to search engine as search key;
The second Search Results receiving processing module is used to receive the Search Results of search engine, and the Search Results that receives is classified, and obtains reading category information wherein;
The second recommendation information sorting module is used for said reading category information is sorted according to the webpage temperature, and with the information of said ordering as recommendation information.
22. the device according to described in claim 20 or 21 is characterized in that, further comprises:
The first related information acquisition module, what be used for obtaining said Search Results reads at least a in video class information that preference information is associated, game class information, the comment category information with the user;
The 3rd recommendation information sorting module is used for and said video class information, game class information, comment at least a of category information is sorted according to the webpage temperature, and with the information classification of said ordering as recommendation information.
23. the device according to described in claim 20 or 21 is characterized in that, further comprises:
The second related information acquisition module is used for obtaining wherein same author's reading category information with after the said Search Results classification,
The 4th recommendation information sorting module, be used for and with said same author's reading category information as recommendation information.
24. device according to claim 14 is characterized in that,
Comprise the first user preference information logging modle in the browser side, be used for generating user according to this reading behavior information and reading preference information and be kept at the browser side when the non-logging status of user said;
Comprise the second user preference information logging modle at server side, be used for when user's logging status this user and read preference information and be kept at server side as one of attribute of user information.
25. device according to claim 14 is characterized in that, saidly comprises in recommendation information loaded and displayed module:
BHO asks initiation module, is used for initiating browser auxiliary object BHO request to said browser;
The first recommendation information loaded and displayed module is used for carrying through request and uses the injecting program of setting to obtain described recommendation information and the reading model that is loaded on browser shows.
26. device according to claim 25 is characterized in that, the said first recommendation information loaded and displayed module comprises:
The data object generation module is used for obtaining said recommendation information through said injecting program, generates Javascript self-defining data object;
The Structure Conversion module, this Javascript self-defining data object that is used to circulate converts said recommendation information into the structure of HTML;
The second recommendation information loaded and displayed module is used for that said HTML structure is loaded into said reading model and shows.
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| CN105117474A (en) | 2015-12-02 |
| CN102819555B (en) | 2015-11-25 |
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