CN103678366B - The method and server of recommendation information are provided for browser - Google Patents
The method and server of recommendation information are provided for browser Download PDFInfo
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- CN103678366B CN103678366B CN201210339862.8A CN201210339862A CN103678366B CN 103678366 B CN103678366 B CN 103678366B CN 201210339862 A CN201210339862 A CN 201210339862A CN 103678366 B CN103678366 B CN 103678366B
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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
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Abstract
The invention discloses the method and server that recommendation information is provided for browser, wherein, this method includes：Server is classified to the bookmark web site in bookmark result data, calculates the number of all bookmark web sites corresponding to each classificating word, the network address total amount as each classificating word；Classificating word is ranked up according to network address total amount, extracts the first classificating word of setting number；Server is also classified to the bookmark web site in bookmark behavioral data, and the click volume of all bookmark web sites corresponding to each classificating word is summed, the click total amount using summing value as each classificating word；Classificating word is ranked up according to total amount is clicked on, since being clicked on total amount highest classificating word, extracts the second classificating word of setting number；Crucial classificating word is chosen from the first classificating word and the second classificating word；Generation and the recommendation information of crucial classification word association, are sent to browser and are shown.The present invention program can be based on bookmark web site information and provide recommendation information to browser.
Description
Technical field
The present invention relates to the network information technology, more particularly to provide for browser the method and server of recommendation information.
Background technology
At present, the method that recommendation information is provided for browser specifically includes：User, which clicks on, opens browser, and browser is to clothes
Business device sends request, and the recommendation information previously generated is sent to browser and is shown by server.
In existing scheme, for any browser user, the recommendation information that server issues is all identical.Recommendation information
Display form is varied, for example, can be issued using recommendation information as bulletin vertically hung scroll information included in browser start page
To browser, recommendation information is illustrated in the bulletin vertically hung scroll opening position of browser start page by browser, and so, user passes through bulletin
The information shown at vertically hung scroll can know recommendation information.
The invention further relates to browser bookmark, is illustrated below.Bookmark in browser, that is to say in browser
Collection or my favorite, for preserving network address, such user is without copying mode using paper pen or remembeing network address mode just
Can preserve network address rapidly, and can quick links to network address.In numerous PC browser clients and mobile device browser client
There are bookmark function, this kind of browser such as Internet Explorer, Firefox, Opera, Safari and Google in end
Chrome etc..Here, the network address included in bookmark is referred to as bookmark web site, the frequency of use of bookmark web site is higher, bookmark web site
Demand of the browser user to recommendation information can be reflected.
To sum up, in existing scheme, identical recommendation information is sent to all browsers by server, and each browser
User is different to the demand of recommendation information；If can be different based on the bookmark web site information generation that user accesses
Recommendation information, it is then forwarded to corresponding browser and is shown, by further meet demand, but there is presently no the skill of this respect
Art.
The content of the invention
The invention provides a kind of method that recommendation information is provided for browser, this method can be based on bookmark web site information
Recommendation information is provided to browser of mobile terminal.
The invention provides a kind of server that recommendation information is provided for browser, the server can be based on bookmark web site
Information provides recommendation information to browser.
A kind of method that recommendation information is provided for browser, this method include：
Bookmark web site in bookmark result data is classified, calculates all bookmark web sites corresponding to each classificating word
Number, the network address total amount as each classificating word；The bookmark result data includes the bookmark synchronously obtained from browser bookmark
Network address；Classificating word is ranked up according to network address total amount, since network address total amount highest classificating word, extracts setting number
Classificating word, as the first classificating word；
Bookmark web site in bookmark behavioral data is classified, by the point of all bookmark web sites corresponding to each classificating word
The amount of hitting is summed, the click total amount using summing value as each classificating word；The bookmark behavioral data is included in browser bookmark
The behavioural information that bookmark web site is clicked；Classificating word is ranked up according to total amount is clicked on, from click total amount highest classificating word
Start, the classificating word of setting number is extracted, as the second classificating word；
A classificating word is chosen from the first classificating word and the second classificating word, as crucial classificating word；
Generation and the recommendation information of crucial classification word association, are sent to browser and are shown；
Wherein, it is described that a classificating word is chosen from the first classificating word and the second classificating word, include as crucial classificating word：
Judge whether there is identical classificating word in the first classificating word and the second classificating word, if it is, choosing identical point
The maximum classificating word of total amount is clicked in class word, as crucial classificating word；Otherwise, chosen from the second classificating word and click on total amount maximum
Classificating word, as crucial classificating word.
A kind of server that recommendation information is provided for browser, the server include the first taxon, the second grouping sheet
Member, choose unit and recommendation unit；
First taxon, classifies to the bookmark web site in bookmark result data, calculates each classificating word
The number of corresponding all bookmark web sites, the network address total amount as each classificating word；The bookmark result data is included from browser
The bookmark web site that bookmark synchronization obtains；Classificating word is ranked up according to network address total amount, opened from network address total amount highest classificating word
Begin, extract the classificating word of setting number, as the first classificating word, the first classificating word is sent to selection unit；
Second taxon, classifies to the bookmark web site in bookmark behavioral data, and each classificating word is corresponding
The click volumes of all bookmark web sites summed, the click total amount using summing value as each classificating word；The bookmark behavior number
According to the behavioural information being clicked comprising bookmark web site in browser bookmark；Classificating word is ranked up according to total amount is clicked on, from point
Hit total amount highest classificating word to start, extract the classificating word of setting number, as the second classificating word, the second classificating word is sent
Give selection unit；
The selection unit, a classificating word is chosen from the first classificating word and the second classificating word, as crucial classificating word,
It is sent to recommendation unit；
The recommendation unit, generation and the recommendation information of crucial classification word association, are sent to browser and are shown；
Wherein, the selection unit includes judgment sub-unit, judges whether there is phase in the first classificating word and the second classificating word
Same classificating word, the maximum classificating word of total amount is clicked in identical classificating word if it is, choosing, as crucial classificating word；It is no
Then, chosen from the second classificating word and click on the maximum classificating word of total amount, as crucial classificating word.
From such scheme as can be seen that in the present invention, server is to the book in bookmark result data and bookmark behavioral data
Label network address is classified, and extracts the first classificating word and the second classificating word of setting number respectively；From the first classificating word and second
A classificating word is chosen in classificating word, as crucial classificating word；Generation and the recommendation information of crucial classification word association, are sent to clear
Device of looking at is shown.The present invention classifies to the bookmark web site in historical record, classificating word is chosen, further according to the classification of selection
Word generates recommendation information, so as to realize and provide recommendation information to browser based on bookmark web site information, make to be sent to browser
Recommendation information more targetedly, it is more accurate, meet demand.
Brief description of the drawings
Fig. 1 provides the method indicative flowchart of recommendation information for the present invention for browser；
Fig. 2 provides the method flow diagram example of recommendation information for the present invention for browser；
Fig. 3 provides the server architecture schematic diagram of recommendation information for the present invention for browser.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, with reference to embodiment and accompanying drawing, to this
Invention is further described.
The present invention classifies to the bookmark web site in historical record, chooses classificating word, is given birth to further according to the classificating word of selection
Into recommendation information.Referring to Fig. 1, the method indicative flowchart interacted for mobile device of the present invention with controlled device, it is wrapped
Include following steps：
Step 101, server is classified to the bookmark web site in bookmark result data, and it is corresponding to calculate each classificating word
All bookmark web sites number, the network address total amount as each classificating word.
Step 102, server is ranked up according to network address total amount to classificating word, is opened from network address total amount highest classificating word
Begin, the classificating word of setting number is extracted, as the first classificating word.
The historical record on bookmark web site stored in server includes bookmark result data and bookmark behavioral data, book
Label result data includes the bookmark web site synchronously obtained from browser bookmark, and bookmark behavioral data includes bookmark in browser bookmark
The behavioural information that network address is clicked.The bookmark web site included in bookmark is periodically synchronized to the bookmark number of results of server by browser
The bookmark web site in browser bookmark is contained in, that is, in bookmark result data；During browser use, Yong Hudian
Bookmark web site is hit, bookmark web site, web site name, access time etc. are just sent to service by browser on the behavioural information of click
Device, server store behavioural information into bookmark behavioral data.The specific such as bookmark uniform resource locator of bookmark web site (URL,
Uniform Resource Locator) address.The browser is, for example, QQ browsers.
Step 103, server is classified to the bookmark web site in bookmark behavioral data, by institute corresponding to each classificating word
The click volume for having bookmark web site is summed, the click total amount using summing value as each classificating word.
Each bookmark in bookmark behavioral data, which is clicked on to record, includes access time, in this step, can be directed in certain period
Bookmark click on record handled；Correspondingly, the server is also classified to the bookmark web site in bookmark behavioral data
Including：The bookmark that server is extracted from bookmark behavioral data in setting time section clicks on record, and note is clicked on to the bookmark of extraction
Bookmark web site in record is classified.The setting time section is, for example, to be pushed away forward one month since current time.
Step 101 and 103 can execute out.
Step 104, server is ranked up according to the click total amount tried to achieve in step 103 to classificating word, from click total amount
Highest classificating word starts, and the classificating word of setting number is extracted, as the second classificating word.
Step 105, server chooses a classificating word from the first classificating word and the second classificating word, classifies as key
Word.
During selection, it can also be selected in the following manner optional one from the first classificating word and the second classificating word：Judge
Whether there is identical classificating word in first classificating word and the second classificating word, clicked on always if it is, choosing in identical classificating word
Maximum classificating word is measured, as crucial classificating word；Otherwise, chosen from the second classificating word and click on the maximum classificating word of total amount, made
For crucial classificating word.
Step 106, server generation and the recommendation information of crucial classification word association, are sent to browser and are shown.
For the browser of mobile terminal, this step may particularly include：The recommendation information of association is obtained by crucial classificating word,
Recommendation information is sent into browser included in browser start page to be shown.Server provides and each classification word association
Recommendation information, it is determined that after crucial classificating word, corresponding recommendation information can be obtained；Such as crucial classificating word is " physical culture ", then
The recommendation information of acquisition is the current real-time sport information that server provides.Browser start page, which includes, to be used for into row information public affairs
The bulletin vertically hung scroll of announcement and the content prefecture for carrying out content displaying, therefore, for pushing recommendation by browser start page
The mode of breath：Browser can be handed down to included in browser start page specifically using recommendation information as vertically hung scroll information is announced, it is clear
Recommendation information is illustrated in the bulletin vertically hung scroll opening position of browser start page by device of looking at, and so, user is shown by announcing at vertically hung scroll
Information can know recommendation information；It is also possible that using recommendation information as the content in content prefecture, included in browser start page
In be handed down to browser, recommendation information is illustrated at the content prefecture of browser start page by browser, and so, user passes through interior
Recommendation information can be known by holding the information shown at prefecture.
For the browser of mobile terminal, send the mode of recommendation information have it is a variety of；User opens browser of mobile terminal,
The personalized splashette page of display in the mobile terminal elder generation short time, then browser start page is shown, can also be by recommendation in the present invention
Breath is sent to browser included in personalized splashette page and is shown.
In above-mentioned flow, the classification to bookmark web site can use first-level class, can also use secondary classification；First-level class,
First time traversal namely is carried out to bookmark web site, classification corresponding to each bookmark web site is determined according to the result of first time traversal
Word；Secondary classification, it is to second of traversal of bookmark web site on the basis of first-level class, to determine the class of its secondary classification
Not.Such as table 1 below, the classification chart example of bookmark web site is given；Classification corresponding to each bookmark web site can be determined by table 1
Word, for example, first-level class word corresponding to the bookmark web site with " sport " is " portal website ", secondary classification word is " physical culture ".
Correspondingly, in step 102, server carries out classification to the bookmark web site in bookmark result data and may particularly include：
Server travels through for the first time to the bookmark web site in bookmark result data, carries out first-level class；Again to bookmark web site second time
Go through, carry out secondary classification, determine classificating word.In step 104, server clicks on the bookmark web site in record to the bookmark of extraction
Classification is carried out to may particularly include：The bookmark web site that server is clicked on to bookmark in record travels through for the first time, carries out first-level class；Again
To second of traversal of bookmark web site, secondary classification is carried out, determines classificating word.
The bookmark web site classification chart of table 1
Below by Fig. 2 flow, the method that recommendation information is provided the present invention for browser is illustrated, and it is wrapped
Include following steps：
Step 201, server travels through for the first time to the bookmark web site in bookmark result data, carries out first-level class.
Browser client is opened, user uses user account number and password login server；Then, server can extract
Go out the bookmark result data and bookmark behavioral data on the user account number, classified and generate recommendation information.
Step 202, server carries out secondary classification, determines classificating word again to second of traversal of bookmark web site.
Step 203, server calculates the number of all bookmark web sites corresponding to each classificating word, as each classificating word
Network address total amount.
Step 204, server is ranked up according to network address total amount to classificating word, is opened from network address total amount highest classificating word
Begin, extract 3 classificating words, as the first classificating word, perform step 210.
Step 205, the bookmark that server was extracted from bookmark behavioral data in the previous moon clicks on record.
Step 206, the bookmark web site that server is clicked on to the bookmark in the previous moon of extraction in record travels through for the first time,
Carry out first-level class.
Step 207, server carries out secondary classification, determines classificating word again to second of traversal of bookmark web site.
Step 208, server is summed the click volume of all bookmark web sites corresponding to each classificating word, by summing value
Click total amount as each classificating word.
Step 209, server is ranked up according to total amount is clicked on to classificating word, is opened from total amount highest classificating word is clicked on
Begin, 3 classificating words are extracted, as the second classificating word.
Step 210, server judges whether there is identical classificating word in the first classificating word and the second classificating word, if it is,
Then perform step 211；Otherwise, step 212 is performed.
Step 211, server, which is chosen, clicks on the maximum classificating word of total amount in identical classificating word, as crucial classificating word,
Perform step 213.
Step 212, server is chosen from the second classificating word clicks on the maximum classificating word of total amount, as crucial classificating word.
Step 213, server is obtained the recommendation information of association by crucial classificating word, and recommendation information is risen included in browser
Browser is sent in beginning page to be shown.
In the present invention, server is classified to the bookmark web site in bookmark result data and bookmark behavioral data, respectively
Extract the first classificating word and the second classificating word of setting number；A classification is chosen from the first classificating word and the second classificating word
Word, as crucial classificating word；Generation and the recommendation information of crucial classification word association, are sent to browser and are shown.The present invention
Bookmark web site in historical record is classified, chooses classificating word, then generated and recommended according to the classificating word of selection by server
Information, so as to realize and provide recommendation information to browser based on bookmark web site information, make the recommendation information for being sent to browser
More targetedly, it is more accurate, meet demand.
Referring to Fig. 3, providing the server architecture schematic diagram of the recommendation information server for the present invention for browser includes the
One taxon, the second taxon, choose unit and recommendation unit；
First taxon, classifies to the bookmark web site in bookmark result data, calculates each classificating word
The number of corresponding all bookmark web sites, the network address total amount as each classificating word；The bookmark result data is included from browser
The bookmark web site that bookmark synchronization obtains；Classificating word is ranked up according to network address total amount, opened from network address total amount highest classificating word
Begin, extract the classificating word of setting number, as the first classificating word, the first classificating word is sent to selection unit；
Second taxon, classifies to the bookmark web site in bookmark behavioral data, and each classificating word is corresponding
The click volumes of all bookmark web sites summed, the click total amount using summing value as each classificating word；The bookmark behavior number
According to the behavioural information being clicked comprising bookmark web site in browser bookmark；Classificating word is ranked up according to total amount is clicked on, from point
Hit total amount highest classificating word to start, extract the classificating word of setting number, as the second classificating word, the second classificating word is sent
Give selection unit；
The selection unit, a classificating word is chosen from the first classificating word and the second classificating word, as crucial classificating word,
It is sent to recommendation unit；
The recommendation unit, generation and the recommendation information of crucial classification word association, are sent to browser and are shown.
Alternatively, second taxon includes the second classificating word determination subelement, is extracted from bookmark behavioral data
Bookmark in setting time section clicks on record, and the bookmark web site in the bookmark click record of extraction is classified.
Alternatively, the second classificating word determination subelement, the bookmark web site first time time in record is also clicked on to bookmark
Go through, carry out first-level class；Again to second of traversal of bookmark web site, secondary classification is carried out, determines classificating word；
First taxon includes the first classificating word determination subelement, to the bookmark web site in bookmark result data
Once travel through, carry out first-level class；Again to second of traversal of bookmark web site, secondary classification is carried out, determines classificating word.
Alternatively, the selection unit includes judgment sub-unit, judges whether have in the first classificating word and the second classificating word
Identical classificating word, the maximum classificating word of total amount is clicked in identical classificating word if it is, choosing, as crucial classificating word；
Otherwise, chosen from the second classificating word and click on the maximum classificating word of total amount, as crucial classificating word.
Alternatively, the recommendation unit includes recommendation information generation subelement and transmission sub-unit；
The recommendation information generates subelement, and the recommendation information of association is obtained by crucial classificating word, recommendation information is included
In browser start page, browser start page is sent to the transmission sub-unit；
The transmission sub-unit, browser start page is sent to browser and is shown.
The present invention obtains the content-preference of user, the bookmark web site that can be specifically included according to bookmark based on bookmark web site
Go out the content-preference of user with user's click Behavior mining；Recommendation information is being determined according to content-preference, is being pushed to clear
Device of looking at is shown, and makes the recommendation information for being sent to browser more targeted, more accurate.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God any modification, equivalent substitution and improvements done etc., should be included within the scope of protection of the invention with principle.
Claims (8)
- A kind of 1. method that recommendation information is provided for browser, it is characterised in that this method includes：Bookmark web site in bookmark result data is classified, calculates the number of all bookmark web sites corresponding to each classificating word Mesh, the network address total amount as each classificating word；The bookmark result data includes the bookmark web site synchronously obtained from browser bookmark； Classificating word is ranked up according to network address total amount, since network address total amount highest classificating word, extracts the classification of setting number Word, as the first classificating word；Bookmark web site in bookmark behavioral data is classified, by the click volume of all bookmark web sites corresponding to each classificating word Summed, the click total amount using summing value as each classificating word；The bookmark behavioral data includes bookmark in browser bookmark The behavioural information that network address is clicked；Classificating word is ranked up according to total amount is clicked on, since being clicked on total amount highest classificating word, The classificating word of setting number is extracted, as the second classificating word；A classificating word is chosen from the first classificating word and the second classificating word, as crucial classificating word；Generation and the recommendation information of crucial classification word association, are sent to browser and are shown；Wherein, it is described that a classificating word is chosen from the first classificating word and the second classificating word, include as crucial classificating word：Judge whether there is identical classificating word in the first classificating word and the second classificating word, if it is, choosing identical classificating word It is middle to click on the maximum classificating word of total amount, as crucial classificating word；Otherwise, chosen from the second classificating word and click on maximum point of total amount Class word, as crucial classificating word.
- 2. the method as described in claim 1, it is characterised in that the bookmark web site in the behavioral data to bookmark is classified Including：The bookmark extracted from bookmark behavioral data in setting time section clicks on record, and the bookmark of extraction is clicked in record Bookmark web site is classified.
- 3. method as claimed in claim 2, it is characterised in that the bookmark web site in the result data to bookmark is classified Including：Bookmark web site in bookmark result data is traveled through for the first time, carries out first-level class；Again to bookmark web site second time Go through, carry out secondary classification, determine classificating word；The bookmark web site that the bookmark of described pair of extraction is clicked in record, which carries out classification, to be included：Bookmark net in record is clicked on to bookmark Location travels through for the first time, carries out first-level class；Again to second of traversal of bookmark web site, secondary classification is carried out, determines classificating word.
- 4. method as claimed any one in claims 1 to 3, it is characterised in that the generation and crucial classification word association Recommendation information, be sent to browser be shown including：The recommendation information of association is obtained by crucial classificating word, recommendation information is included in browser start page and is sent to browser It is shown.
- 5. a kind of server that recommendation information is provided for browser, it is characterised in that the server includes the first taxon, the Two taxons, choose unit and recommendation unit；First taxon, classifies to the bookmark web site in bookmark result data, and it is corresponding to calculate each classificating word All bookmark web sites number, the network address total amount as each classificating word；The bookmark result data is included from browser bookmark The bookmark web site synchronously obtained；Classificating word is ranked up according to network address total amount, since network address total amount highest classificating word, carried The classificating word of setting number is taken out, as the first classificating word, the first classificating word is sent to selection unit；Second taxon, classifies to the bookmark web site in bookmark behavioral data, by institute corresponding to each classificating word The click volume for having bookmark web site is summed, the click total amount using summing value as each classificating word；The bookmark behavioral data bag The behavioural information being clicked containing bookmark web site in browser bookmark；Classificating word is ranked up according to total amount is clicked on, it is total from clicking on Amount highest classificating word starts, and extracts the classificating word of setting number, as the second classificating word, the second classificating word is sent into choosing Take unit；The selection unit, a classificating word is chosen from the first classificating word and the second classificating word, as crucial classificating word, sent To recommendation unit；The recommendation unit, generation and the recommendation information of crucial classification word association, are sent to browser and are shown；Wherein, the selection unit includes judgment sub-unit, judges whether there is identical in the first classificating word and the second classificating word Classificating word, the maximum classificating word of total amount is clicked in identical classificating word if it is, choosing, as crucial classificating word；Otherwise, from Chosen in second classificating word and click on the maximum classificating word of total amount, as crucial classificating word.
- 6. server as claimed in claim 5, it is characterised in that second taxon includes the second classificating word and determines son Unit, the bookmark extracted from bookmark behavioral data in setting time section click on record, and the bookmark of extraction is clicked in record Bookmark web site is classified.
- 7. server as claimed in claim 6, it is characterised in that the second classificating word determination subelement, also to bookmark point The bookmark web site hit in record travels through for the first time, carries out first-level class；Again to second of traversal of bookmark web site, two fractions are carried out Class, determine classificating word；First taxon includes the first classificating word determination subelement, to the bookmark web site in bookmark result data for the first time Traversal, carry out first-level class；Again to second of traversal of bookmark web site, secondary classification is carried out, determines classificating word.
- 8. the server as described in claim 5,6 or 7, it is characterised in that the recommendation unit includes recommendation information generation Unit and transmission sub-unit；The recommendation information generates subelement, and the recommendation information of association is obtained by crucial classificating word, recommendation information is included in clear Look in device start page, browser start page is sent to the transmission sub-unit；The transmission sub-unit, browser start page is sent to browser and is shown.
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| CN105989114A (en) * | 2015-02-12 | 2016-10-05 | 广东欧珀移动通信有限公司 | Collection content recommendation method and terminal |
| CN106933912B (en) * | 2015-12-31 | 2020-07-03 | 北京国双科技有限公司 | Keyword acquisition method and device |
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