CN101079064A - Web page sequencing method and device - Google Patents
Web page sequencing method and device Download PDFInfo
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- CN101079064A CN101079064A CNA2007100761642A CN200710076164A CN101079064A CN 101079064 A CN101079064 A CN 101079064A CN A2007100761642 A CNA2007100761642 A CN A2007100761642A CN 200710076164 A CN200710076164 A CN 200710076164A CN 101079064 A CN101079064 A CN 101079064A
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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
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention provides a method and a device of arranging web page in the computer application field, which comprises the following steps: saving the web page category vector established by the saving user; classifying IP journal accessed by the users; determining the expert category of users according to IP category accessed most by users; increasing points of web page category vector value corresponding the web page according to the determined expert category when the user hits the web page according to the searching result of the searching engine; arranging the searched web page preferentially according to the web page category vector when the user inputs index and proceeds the information searching by the searching engine. The invention dissolves the problems of hitting maliciously by the users and increasing points blindly.
Description
Technical field
The invention belongs to computer application field, relate in particular to a kind of Web page sequencing method and device.
Background technology
Search engine is the very fierce field of current competition, and search engine also has user experience except content abundant.In general, the problem that search engine is faced now is not that information is not enough but information is excessive, searches for a keyword often and up to ten million results can occur.
In actual application, when the user uses search engine, wish that all (Uniform Resource Locator has just comprised that the user wishes the information that obtains in URL), therefore has been ranked into the key factor that improves the search engine quality for first page even preceding 5 uniform resource locators.Famous search engine Google can become world-class search engine at short notice, exactly because webpage grade (pagerank) technology of its invention can effectively solve sequencing problem.
But nowadays, each network company has been understood and major part has all adopted the pagerank technology, the ranking results of the search engine that in fact current any one is bigger is not by a single algorithm, but by the overall result of tens even up to a hundred factors.Algorithm commonly used is not only pagerank, also has hits algorithm (a kind of searching algorithm based on hyperlink), and Hilltop algorithm (a kind of search engine rank algorithm that is applicable to macrotaxonomy) etc. are carried out deception because single algorithm is easy to be penetrated.Certainly, adopt the purpose of big quantity algorithm to have only one, promptly allow ranking results be close to the users more.
In the prior art, when the result of user by search engine searches sorted, directly webpage is carried out bonus point by user's number of clicks.Because this method is not divided the user, causes the user to click maliciously, and bonus point is recommended very blindly.
Summary of the invention
The purpose of the embodiment of the invention is to provide a kind of Web page sequencing method, is intended to solve and directly leans on user's number of clicks that webpage is carried out bonus point and causes the user to click maliciously in the prior art, and bonus point is recommended problem very blindly.
The embodiment of the invention is achieved in that a kind of Web page sequencing method, said method comprising the steps of:
The webpage categorization vector that the storage user establishes;
The IP daily record of user capture is classified, determine expert's classification of user according to the maximum IP classification of user capture;
As user during, according to expert's classification of the user who determines value bonus point to the webpage categorization vector of this webpage correspondence according to the search engine retrieving result webpage clicking;
When the user carries out information retrieval by the input of search engine input index, the webpage of search is optimized ordering with reference to the webpage categorization vector of webpage.
Another purpose of the embodiment of the invention is to provide a kind of webpage collator, and described device comprises:
Webpage categorization vector memory module is used to store the webpage categorization vector that the user establishes;
User expert's classification determination module is used for the IP daily record of user capture is classified, and determines expert's classification of user according to the maximum IP classification of user capture;
The webpage categorization vector adds sub-module, is used for as user during according to the search engine retrieving result webpage clicking, according to expert's classification of the user who determines value bonus point to the webpage categorization vector of this webpage correspondence; And
Webpage optimization sorting module is used for when the user carries out information retrieval by search engine input index, with reference to the webpage categorization vector of webpage the webpage of search is optimized ordering.
The embodiment of the invention is carried out user expert's category division according to the IP daily record of user capture to the user, and the webpage of clicking according to the user is to the value bonus point of the webpage categorization vector of this webpage correspondence, when user search information, sort according to the Search Results of this webpage categorization vector to the user, solved and directly leaned on user's number of clicks that webpage is carried out bonus point and causes the user to click maliciously in the prior art, bonus point is recommended problem very blindly.
Description of drawings
Fig. 1 is the process flow diagram of the Web page sequencing method that provides of the embodiment of the invention;
Fig. 2 is the exemplary block diagram of search engine;
Fig. 3 is the structural drawing of the webpage collator that provides of the embodiment of the invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
The embodiment of the invention is according to procotol (the Internet Protocol of user capture, IP) daily record is carried out user expert's category division to the user, and the webpage of clicking according to the user is to the value bonus point of the webpage categorization vector of this webpage correspondence, when user search information, sort according to the Search Results of this webpage categorization vector to the user.
Fig. 1 shows the flow process of the Web page sequencing method that the embodiment of the invention provides, and details are as follows.
In step S101, the webpage categorization vector that the storage user establishes.
Wherein, vector is the matrix of one dimension, can preserve the score value of things to all elements of some set.The embodiment of the invention is by distributing a vector to webpage, preserve the value of this webpage to each classification in the classification set, for example, if the classification set is { " physical culture ", " news " }, the vector of webpage has just been preserved this webpage to the score value of " physical culture " and the score value of " news " so, can read this two score values by visiting vector.In actual application, the size of classification set is all on rank up to a hundred, so the webpage vector has just been preserved the score value of each webpage to each classification of these up to a hundred classifications.
Use the vector of a n dimension the webpage categorization vector to all webpages, the dimension n of vector equals the categorical measure of webpage classification set A, this vectorial implication is the weight of this webpage in each classification, be how many ratios that this webpage accounts in each classification is, because a webpage not necessarily belongs to a classification, just can represent with a vector how many weight of this webpage on each classification be.Wherein, in the prior art, a classification set A can both be established according to the content of current internet web page in most website, for example history, military affairs, tourism, humanity, automobile etc.
In step S102, the IP daily record of user capture is classified, determine expert's classification of user according to the maximum IP classification of user capture.
The process prescription of IP daily record that obtains user capture is as follows, the typical structure of search engine as shown in Figure 2, comprise reptile (crawler), index, searcher etc., wherein the work of reptile mainly is identify label (the Uniform Resource Locator Identify to webpage distributing uniform resource localizer, URLID) and download webpage, reptile distributes a unique identifier ID for each pages of Internet, distinguish different URLID, the corresponding structure of this URLID has comprised the content of text of webpage, the adeditive attribute of webpage etc.
Reptile is from the Internet download webpage, and distribution unique URL ID, deposits raw data base in.Index reads info web from raw data base and sets up index, and deposits index data base in.
When the user imported retrieving information and carries out information retrieval, searcher was accepted user's input, obtain returning to this user after record and the ordering from index data base, simultaneously user's operation log recording to the user behavior daily record.
Wherein, when determining expert's classification of user, used algorithm is as follows,
Definition expert array UserType[], UserType[i wherein] expert's classification of i user of expression.
For (each user i)
{
Definition classification counter array TypeCounter[]
Read all historical search records of user i
For (serch[j of search each time of user i])
{
Give Serch[j] classification, obtain category IDs=a
TypeCounter[a]=TypeCounter[a]+1, add 1 for this classification of user
}
UserType[i]=classification that classification counter TypeCounter is maximum
}
Return expert's classification UserType[].
For example, the user imports retrieving information " T43 ", and search engine is classified to the character string of retrieval, obtaining classification is " computer " class, when search engine sorts to the result who retrieves, consider the effect of webpage categorization vector, the webpage bigger the weight of " computer " comes the front.
In step S103, when the user when search engine retrieving result is clicked certain webpage, according to expert's classification of the user who determines value bonus point to the webpage categorization vector of this webpage correspondence.
For example, after the user searches for search engine, select to have clicked a webpage, if this user belongs to the expert of webpage categorization vector, just the classification weight of this webpage bonus point on the vector of correspondence.The i.e. webpage clicked of this user is worth bonus point according to expert's classification of this user accordingly to this webpage categorization vector.
In specific implementation process, according to expert's classification of user the value of the webpage categorization vector of this user's webpage clicking correspondence is being added timesharing, the algorithm of using is as follows,
IF (user's webpage clicking u
i)
{
Judge expert's classification of user
IF (user belongs to expert's classification a, a ∈ A)
{
Webpage u
iThe value of webpage categorization vector a from increasing 1
}
}
In step S104, when the user retrieves by search engine, the result of user search is optimized ordering with reference to the score value in the webpage categorization vector.
Wherein, the algorithm that this step is used is as follows,
IF (user search entry " KKK ")
{
" KKK " classified, and the classification that obtains " kkk " is a)
Search engine calls searcher and obtains result for retrieval.
Result for retrieval is carried out presort,, with the pagerank technology Search Results is sorted herein as embodiments of the invention.
For (each result for retrieval webpage c)
{
The webpage categorization vector of inquiry c webpage correspondence, reading this webpage is U about expert's recommendation of classification a
a
According to expert's recommendation is U
aSize adjust the ranking results of this webpage c, U
aBig shifts to an earlier date.
}
Return the collections of web pages after the ordering, and the web results after will sorting shows.
Fig. 3 shows the structure of the webpage collator that the embodiment of the invention provides.
The webpage categorization vector that webpage categorization vector memory module 11 storage users establish, wherein, each vector in this webpage categorization vector is used for identifying the weight of the webpage of this vector correspondence in the set of webpage classification.
User expert's classification determination module 12 is classified the IP daily record of user capture, determine expert's classification of user according to the maximum IP classification of user capture, as user during according to the search engine retrieving result webpage clicking, the webpage categorization vector adds the value bonus point of expert's classification of the user that sub-module 13 determines according to user expert's classification determination module 12 to the webpage categorization vector of this webpage correspondence, detailed process is stated at preamble, just repeats no more herein.
When the user carried out information retrieval by search engine input index, webpage optimization sorting module 14 was optimized ordering with reference to the webpage categorization vector of webpage to the webpage of searching for, and web displaying module 15 is with the web displaying after the optimization sorting.
The embodiment of the invention is carried out user expert's category division according to the IP daily record of user capture to the user, and the webpage of clicking according to the user is to the value bonus point of the webpage categorization vector of this webpage correspondence, when user search information, sort according to the Search Results of this webpage categorization vector to the user, solved and directly leaned on user's number of clicks that webpage is carried out bonus point and causes the user to click maliciously in the prior art, bonus point is recommended problem very blindly.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1, a kind of Web page sequencing method is characterized in that, said method comprising the steps of:
The webpage categorization vector that the storage user establishes;
The IP daily record of user capture is classified, determine expert's classification of this user according to the maximum IP classification of user capture;
As user during, according to expert's classification of the user who determines value bonus point to the webpage categorization vector of this webpage correspondence according to the search engine retrieving result webpage clicking;
When the user carries out information retrieval by search engine input index, the webpage of search is optimized ordering with reference to the webpage categorization vector of webpage.
2, Web page sequencing method as claimed in claim 1 is characterized in that, each vector in the described webpage categorization vector is used for identifying the weight of the webpage of this vector correspondence in the set of webpage classification.
3, Web page sequencing method as claimed in claim 1 is characterized in that, described method further comprises:
With the web displaying after the optimization sorting.
4, a kind of webpage collator is characterized in that, described device comprises:
Webpage categorization vector memory module is used to store the webpage categorization vector that the user establishes;
User expert's classification determination module is used for the IP daily record of user capture is classified, and determines expert's classification of user according to the maximum IP classification of user capture;
The webpage categorization vector adds sub-module, is used for as user during according to the search engine retrieving result webpage clicking, according to expert's classification of the user who determines value bonus point to the webpage categorization vector of this webpage correspondence; And
Webpage optimization sorting module is used for when the user carries out information retrieval by search engine input index, with reference to the webpage categorization vector of webpage the webpage of search is optimized ordering.
5, webpage collator as claimed in claim 4 is characterized in that, each vector in the described webpage categorization vector is used for identifying the weight of the webpage of this vector correspondence in described webpage classification set.
6, webpage collator as claimed in claim 4 is characterized in that, described device further comprises:
The web displaying module is used for the web displaying after the optimization sorting.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN2007100761642A CN101079064B (en) | 2007-06-25 | 2007-06-25 | Web page sequencing method and device |
| PCT/CN2008/070608 WO2009000174A1 (en) | 2007-06-25 | 2008-03-27 | Method and device of web page rank |
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|---|---|---|---|
| CN2007100761642A CN101079064B (en) | 2007-06-25 | 2007-06-25 | Web page sequencing method and device |
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| CN101079064A true CN101079064A (en) | 2007-11-28 |
| CN101079064B CN101079064B (en) | 2011-11-30 |
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| CN101840420A (en) * | 2010-04-02 | 2010-09-22 | 清华大学 | Search aid system, search aid method and program |
| CN101996240A (en) * | 2010-10-13 | 2011-03-30 | 蔡亮华 | Method and device for providing information |
| CN102231152A (en) * | 2011-05-25 | 2011-11-02 | 北京捷讯华泰科技有限公司 | Searching method for precisely inquiring based on IP (Internet Protocol) address of mobile terminal |
| CN102541857A (en) * | 2010-12-08 | 2012-07-04 | 腾讯科技（深圳）有限公司 | Webpage sorting method and device |
| CN102722503A (en) * | 2011-03-31 | 2012-10-10 | 北京百度网讯科技有限公司 | Method and device for sequencing search results |
| CN102722545A (en) * | 2012-05-25 | 2012-10-10 | 百度在线网络技术（北京）有限公司 | Method and device for sequencing published information and equipment |
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Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6947924B2 (en) * | 2002-01-07 | 2005-09-20 | International Business Machines Corporation | Group based search engine generating search results ranking based on at least one nomination previously made by member of the user group where nomination system is independent from visitation system |
| CN1389811A (en) * | 2002-02-06 | 2003-01-08 | 北京造极人工智能技术有限公司 | Intelligent search method of search engine |
| US7028027B1 (en) * | 2002-09-17 | 2006-04-11 | Yahoo! Inc. | Associating documents with classifications and ranking documents based on classification weights |
| US7693827B2 (en) * | 2003-09-30 | 2010-04-06 | Google Inc. | Personalization of placed content ordering in search results |
| US20050256848A1 (en) * | 2004-05-13 | 2005-11-17 | International Business Machines Corporation | System and method for user rank search |
-
2007
- 2007-06-25 CN CN2007100761642A patent/CN101079064B/en active Active
-
2008
- 2008-03-27 WO PCT/CN2008/070608 patent/WO2009000174A1/en active Application Filing
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Also Published As
| Publication number | Publication date |
|---|---|
| CN101079064B (en) | 2011-11-30 |
| WO2009000174A1 (en) | 2008-12-31 |
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Effective date of registration: 20160106 Address after: The South Road in Guangdong province Shenzhen city Fiyta building 518057 floor 5-10 Nanshan District high tech Zone Patentee after: Shenzhen Tencent Computer System Co., Ltd. Address before: Shenzhen Futian District City, Guangdong province 518044 Zhenxing Road, SEG Science Park 2 East Room 403 Patentee before: Tencent Technology (Shenzhen) Co., Ltd. |