CN100504866C - Integrative searching result sequencing system and method - Google Patents
Integrative searching result sequencing system and method Download PDFInfo
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- CN100504866C CN100504866C CNB2006100363617A CN200610036361A CN100504866C CN 100504866 C CN100504866 C CN 100504866C CN B2006100363617 A CNB2006100363617 A CN B2006100363617A CN 200610036361 A CN200610036361 A CN 200610036361A CN 100504866 C CN100504866 C CN 100504866C
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Abstract
The invention discloses an ordering system of comprehensive searching result and method in data treating domain, which comprises the following steps: A, inputting term to the comprehensive searching engine; searching; getting all vertical searching engine result; B, extracting data information from the data bank with the ordering module; adopting sort algorithm; calculating each comprehensive value of vertical searching engine in the searching result; C, comparing comprehensive value of each vertical searching engine; ordering for the vertical searching engine; displaying the final ordering information; outputting. This invention can enhance flexibility for comprehensive searching result, which can meet personalized demand of the users.
Description
Technical field
The invention belongs to data processing field, relate in particular to a kind of ordering system and method for integrative searching result.
Background technology
Vertical search engine be relative universal search engine contain much information, inquire about new search engine service pattern inaccurate, that the degree of depth is not enough etc. puts forward, by provide the information and the related service of certain value at a certain specific area, a certain specific crowd or a certain particular demands, for example, forum, picture, news, music, video etc. all are independently vertical search types.The comprehensive search engine then is that the result with a plurality of vertical search engines is incorporated in a search system on the result page by certain rule.
In present comprehensive search engine, generally all take each mode of the rigid ordering of vertical search engine result independently, therefore the stationkeeping of various vertical search results is constant in the display page of comprehensive search.The comprehensive search that provides of Yahoo China for example, compile each independent search engine as a result the time, manually set each result's ordering in advance, when the user when input frame is imported certain term, result page will show the result from a plurality of vertical search engines, and the permanent order according to " song, picture, webpage ... " is shown to the user.
Therefore, prior art is too single aspect the sortord of integrative searching result, lacks dirigibility, is difficult to meet consumers' demand.
Summary of the invention
The object of the present invention is to provide a kind of ordering system of integrative searching result, be intended to solve the problem of the dirigibility deficiency that prior art exists aspect the ordering of integrative searching result.
Another object of the present invention is to provide a kind of sort method of integrative searching result, to solve the problems referred to above that prior art exists better.
In order to realize goal of the invention, described ordering system comprises data analysis module, database and order module;
Described data analysis module provides the data message that can be used for sort algorithm, and imports in the described database and store;
Described database is used to store the data message that data analysis module provides, and supplies the extraction when carrying out sort algorithm of described order module, and stores the final sequencing information that described order module obtains;
Described order module is used for carrying out multiple sort algorithm according to described database data information stored, described vertical search engine is carried out corresponding multiple ordering and each minor sort result is integrated into an integrated value, thereby obtain final sequencing information and be stored in the described database.
Described sort algorithm comprises independent sort algorithm and integrated ordered algorithm;
Described independent sort algorithm comprises manual intervention method, index amount relative method, user behavior analysis method and daily record word frequency analysis method, independently of each other described vertical search engine is sorted;
Described integrated ordered algorithm calculates the integrated value of described vertical search engine according to the ranking results of described independent sort algorithm, and according to described integrated value described vertical search engine is sorted.
Described data analysis module further comprises artificial predefine module, the contrast of index amount module, daily record and analysis module;
Described artificial predefine module is used to provide artificial predefined relevant information, regularly imports in the described database, extracts and takes the manual intervention method that described vertical search engine is sorted for described order module;
Described index amount contrast module is used for providing the number of results of term at vertical search engine and the ratio information of the general index amount of search engine, regularly import in the described database, extract and take index amount relative method that described vertical search engine is sorted for described order module;
Described daily record and analysis module are used to provide user behavior relevant information and the relevant word frequency information of term, regularly import in the described database, extract and take user behavior analysis method and daily record word frequency analysis method that described vertical search engine is sorted respectively for described order module.
In order to realize goal of the invention better, described sort method may further comprise the steps:
A. the input term is searched in described comprehensive search engine, obtains the result of whole vertical search engine search;
B. described order module is extracted data message from described database, takes sort algorithm to calculate the integrated value of every kind of vertical search engine in this time search;
C. the integrated value to described every kind of vertical search engine compares, and described vertical search engine is sorted, and final sequencing information is shown output.
Described sort algorithm comprises independent sort algorithm and integrated ordered algorithm;
Described independent sort algorithm comprises manual intervention method, index amount relative method, user behavior analysis method and daily record word frequency analysis method, independently of each other described vertical search engine is sorted;
Described integrated ordered algorithm calculates the integrated value of described vertical search engine according to the ranking results of described independent sort algorithm, and according to described integrated value described vertical search engine is sorted.
Described step B further comprises:
B1. described order module is extracted data message from described database, takes whole independent sort algorithms that described vertical search engine is sorted respectively;
B2. described order module is taked the integrated value of integrated ordered algorithm computation vertical search engine according to the ranking results that described step B1 obtains, and according to described integrated value described vertical search engine is sorted.
Integrated ordered algorithm utilizes following formula to calculate among the described step B2:
S(K，Ti)＝ΣSi(j)*Wj，ΣWj＝1，(0<＝Wj<＝1)；
Described K is a term, Ti is a vertical search engine, i is the numbering of vertical search engine, j is the numbering of independent sort algorithm, Si (j) is illustrated in the corresponding score value of i vertical search engine Ti gained ordering when using j number independent sort algorithm to search for term K, Wj represents the weight factor of j number independent sort algorithm, S (K, the integrated value that i vertical search engine Ti had when Ti) term K was searched in expression.
Described method further may further comprise the steps:
D. described order module stores final sequencing information in the described database into.
The present invention is by using multiple independent sort algorithm, and is integrated into integrated value sorts in integrated ordered algorithm, strengthened the dirigibility that integrative searching result is sorted, and satisfied user's individual demand.
Description of drawings
Fig. 1 is the ordering system structural drawing of integrative searching result among the present invention;
Fig. 2 is the sort method process flow diagram of integrative searching result among the present invention;
Fig. 3 is the sort method process flow diagram of integrative searching result in one embodiment of the present of 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 present invention has made up the ordering system of an integrative searching result, takes multiple independent sort algorithm that the result of vertical search engine is sorted respectively, and each minor sort result is integrated into an integrated value, obtains final ranking results according to this integrated value.The method has fully taken into account user's various demands, can intelligently sort flexibly to Search Results, in the best way Search Results is shown to the user.
Fig. 1 shows the structure of the ordering system of integrative searching result among the present invention, and this ordering system can be arranged in search engine, also can be in the relation of independent parallel with search engine, comprising data analysis module 100, database 200 and order module 300.
Wherein, artificial predefine module 101 is used to provide artificial predefined relevant information, so that ordering system of the present invention can adopt the manual intervention method to sort; Index amount contrast module 102 provides the number of results of each term at each vertical search engine and the ratio of the general index amount of search engine, so that ordering system of the present invention can adopt index amount relative method to sort; Daily record and analysis module 103 provide the user behavior relevant information, and the relevant word frequency information of term, so that ordering system of the present invention can adopt user behavior analysis method and daily record word frequency analysis method to sort.It is to be noted, module in this data analysis module 100 can be expanded or deletes according to sort algorithm, for example, if ordering system of the present invention need increase new algorithm, then in this data analysis module 100, increase corresponding module, the data message that can be used for this algorithm is provided.
Deposit the centre and the final data information of ordering rule in the database 200, wherein final data is the linear list of term and ordering rule.
300 of order module are used for regularly carrying out various independent sort algorithms, and integrated ordered algorithm.Order module 300 is extracted from database 200 and be can be used for the data message of certain independent sort algorithm, thereby takes this independent sort algorithm that each vertical search engine Search Results is sorted, the score value that different ranking results is corresponding different.Order module 300 is again according to these score values that is obtained by independent sort algorithm, take the integrated value of each vertical search engine in the search this time of integrated ordered algorithm computation, sort according to integrated value, and show output, simultaneously final sequencing information is stored in the database 200.
Fig. 2 shows the flow process of the sort method of integrative searching result among the present invention.
In step S201, the input term is searched in the comprehensive search engine, obtains the result of whole vertical search engine search.
In step S202, order module 300 is extracted data message from database 200, takes the integrated value (being its overall ranking) of every kind of vertical search engine in each independent sort algorithm and integrated ordered this time of algorithm computation search.Detailed process is: at first take various independent sort algorithms, each vertical search engine in this time search is sorted, and obtain corresponding score value; Take integrated ordered algorithm then, utilize the score value of each vertical search engine that independent sort algorithm obtains, calculate its integrated value.
In step S203, compare according to the integrated value of each vertical search engine, described vertical search engine is sorted, final sequencing information is shown output, also final sequencing information is stored in the database 200 simultaneously.
Fig. 3 shows the flow process of the sort method of integrative searching result in one embodiment of the present of invention, is example with certain term K, and details are as follows:
In step S301, input term K searches in the comprehensive search engine, obtain the result of whole vertical search engines (representing with Ti) search, for example the vertical search engine of relevant K has following six kinds: video (T1), forum (T2), picture (T3), music (T4), news (T5), webpage (T6).Certainly, the present invention is not defined as these mentioned search engine kinds.
In step S302, order module 300 is extracted the relevant data message of each sort algorithm from database 200, at first takes each independent sort algorithm to each vertical search engine ordering in this search, and provides the score value of each vertical search engine correspondence.Detailed process is as follows:
Take first kind of independent sort algorithm,, obtain the ordering of a vertical search engine, and set corresponding score value for each vertical search engine, represent with Si (1) according to this ranking results as the manual intervention method.Suppose that the ranking results in this time search is: picture (T3), video (T1), music (T4), webpage (T6), news (T5), forum (T2), then its corresponding score value ordering is: S3 (1), S1 (1), S4 (1), S6 (1), S5 (1), S2 (1), can thus be each search engine assignment is: S1 (1)=5, S2 (1)=1, S3 (1)=6, S4 (1)=4, S5 (1)=2, S6 (1)=3.Certain assignment of the present invention is not defined as with upper type yet, and institute's assignment can change as required flexibly, as long as can each vertical search engine be told gradient according to ranking results.
Take second kind of independent sort algorithm,, obtain the assignment Si (2) of secondary series vertical search engine as index amount pairing comparision.Taking other independent sort algorithm again, all is each vertical search engine assignment in an identical manner.Finally obtain the assignment of four minor sort correspondences, the result is as shown in the table:
| Si(j) | Video (T1) | Forum (T2) | Picture (T3) | Music (T4) | News (T5) | Webpage (T6) |
| Algorithm one | 5 | 1 | 6 | 4 | 2 | 3 |
| Algorithm two | 1 | 2 | 5 | 6 | 3 | 4 |
| Algorithm three | 2 | 3 | 5 | 4 | 1 | 6 |
| Algorithm four | 4 | 2 | 3 | 5 | 6 | 1 |
Wherein i is the numbering of vertical search engine, 1＜=i among this embodiment＜=6; J is the numbering of independent sort algorithm, and the independent sort algorithm that uses among this embodiment of the present invention has four kinds, so 1＜=j＜=4.As above shown in the table, the assignment that vertical search engine " video (T1) " obtains respectively in four minor sorts is: S1 (1)=5, S1 (2)=1, S1 (3)=2, S1 (4)=4.
In step S303, take the integrated value of each vertical search engine in the search this time of integrated ordered algorithm computation.Promptly utilize following computing formula:
S(K，Ti)＝Si(1)*W1+Si(2)*W2+Si(3)*W3+Si(4)*W4，W1+W2+W3+W4＝1(0<＝W1，W2，W3，W4<＝1)。
In this computing formula, K is a term, Ti is a vertical search engine, Si (1), Si (2), Si (3), (the six kinds of vertical search engines in the present embodiment for example of the corresponding score value of gained ordering when Si (4) represents respectively that term K uses each independent sort algorithm in vertical search engine Ti, according to the sequencing of rank respectively assignment be: 6,5,4,3,2,1), W1, W2, W3, W4 (for example can be set at W1=0.4 for the weight factor of each independent sort algorithm, W2=0.3, W3=0.2, W4=0.1), S (K, Ti) integrated value of expression term K in vertical search engine Ti.
Then in this embodiment, according to each minor sort of each vertical search engine that has obtained among step S302 score value of correspondence as a result, use this computing formula to calculate integrated value, for example the integrated value of search engine T1 correspondence is:
S(K，T1)＝S1(1)*W1+S1(2)*W2+S1(3)*W3+S1(4)*W4
＝5*0.4+1*0.3+2*0.2+4*0.1
＝3.1
Use the same method, calculate the integrated value of other each vertical search engine correspondences in the search this time, be respectively: S (K, T2)=1.8, S (K, T3)=5.2, S (K, T4)=4.7, S (K, T5)=2.5, S (K, T6)=3.7.
In step S304, compare according to the integrated value of each vertical search engine, be according to from big to small order: S (K, T3), S (K, T4), S (K, T1), S (K, T6), S (K, T5), S (K, T2).Therefore the ordering of each vertical search engine corresponds to: picture (T3), music (T4), video (T1), webpage (T6), news (T5), forum (T2), and when showing output also on webpage the order with " picture, music, video, webpage, news, forum " be shown to the user.Again this ordering is deposited in the database 200 at last.
After this step, the user obtains the result page of comprehensive search, and can choose thereon and click own interested content.And ordering system of the present invention can utilize the click behavior of data analysis module 100 (especially daily record and analysis module 103) recording user wherein, adds up the number of times that it clicks a certain vertical search.And after a fixed cycle, utilize order module 300 to calculate once more, and the ranking results that obtains is saved in the database 200, and when the user imported same term next time, ordering system of the present invention then was shown to the user with this ranking results.This ranking results is because with reference to the feedback of user behavior, can be more accurately and the demand that satisfies the user personalizedly.
It is mentioned several to should be noted that independent sort algorithm used in the present invention is not limited to, and can expand or delete as required, and the vertical search engine that comprises in the comprehensive search of the present invention in addition also is not limited to above-mentioned type.
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 (9)
1, a kind of ordering system of integrative searching result is used for the result of the separate vertical search engine of comprehensive search engine is sorted, and it is characterized in that described system comprises data analysis module, database and order module;
Described data analysis module provides the data message that can be used for sort algorithm, and imports in the described database and store;
Described database is used to store the data message that data analysis module provides, and supplies the extraction when carrying out sort algorithm of described order module, and stores the final sequencing information that described order module obtains;
Described order module is used for carrying out multiple sort algorithm according to described database data information stored, described vertical search engine is carried out corresponding multiple ordering and each minor sort result is integrated into an integrated value, thereby obtain final sequencing information and be stored in the described database.
2, the ordering system of integrative searching result as claimed in claim 1 is characterized in that, described sort algorithm comprises independent sort algorithm and integrated ordered algorithm;
Described independent sort algorithm comprises manual intervention method, index amount relative method, user behavior analysis method and daily record word frequency analysis method, independently of each other described vertical search engine is sorted;
Described integrated ordered algorithm calculates the integrated value of described vertical search engine according to the ranking results of described independent sort algorithm, and according to described integrated value described vertical search engine is sorted.
3, the ordering system of integrative searching result as claimed in claim 1 is characterized in that, described data analysis module further comprises artificial predefine module, the contrast of index amount module, daily record and analysis module;
Described artificial predefine module is used to provide artificial predefined relevant information, regularly imports in the described database, extracts and takes the manual intervention method that described vertical search engine is sorted for described order module;
Described index amount contrast module is used for providing the number of results of term at vertical search engine and the ratio information of the general index amount of search engine, regularly import in the described database, extract and take index amount relative method that described vertical search engine is sorted for described order module;
Described daily record and analysis module are used to provide user behavior relevant information and the relevant word frequency information of term, regularly import in the described database, extract and take user behavior analysis method and daily record word frequency analysis method that described vertical search engine is sorted respectively for described order module.
4, a kind of sort method of integrative searching result is used for the result of the separate vertical search engine of comprehensive search engine is sorted, and it is characterized in that, said method comprising the steps of:
A. the input term is searched in described comprehensive search engine, obtains the result of whole vertical search engine search;
B. order module is extracted data message from database, takes the vertical search engine in multiple this time of sort algorithm search to carry out corresponding multiple ordering and each minor sort result is integrated into an integrated value;
C. the integrated value to described every kind of vertical search engine compares, and described vertical search engine is sorted, and final sequencing information is shown output.
5, the sort method of integrative searching result as claimed in claim 4 is characterized in that, described sort algorithm comprises independent sort algorithm and integrated ordered algorithm;
Described independent sort algorithm comprises manual intervention method, index amount relative method, user behavior analysis method and daily record word frequency analysis method, independently of each other described vertical search engine is sorted;
Described integrated ordered algorithm calculates the integrated value of described vertical search engine according to the ranking results of described independent sort algorithm, and according to described integrated value described vertical search engine is sorted.
As the sort method of claim 4 or 5 described integrative searching results, it is characterized in that 6, described step B further comprises:
B1. described order module is extracted data message from described database, takes whole independent sort algorithms that described vertical search engine is sorted respectively;
B2. described order module is taked the integrated value of integrated ordered algorithm computation vertical search engine according to the ranking results that described step B1 obtains, and according to described integrated value described vertical search engine is sorted.
7, the sort method of integrative searching result as claimed in claim 6 is characterized in that, integrated ordered algorithm utilizes following formula to calculate among the described step B2:
S(K，Ti)＝∑Si(j)*Wj，∑Wj＝1，(0<＝Wj<＝1)；
K is a term in the described formula, Ti is a vertical search engine, i is the numbering of vertical search engine, j is the numbering of independent sort algorithm, Si (j) is illustrated in the corresponding score value of i vertical search engine Ti gained ordering when using j number independent sort algorithm to search for term K, Wj represents the weight factor of j number independent sort algorithm, S (K, the integrated value that i vertical search engine Ti had when Ti) term K was searched in expression.
8, the sort method of integrative searching result as claimed in claim 4 is characterized in that, described method further may further comprise the steps:
D. described order module stores final sequencing information in the described database into.
9, the sort method of integrative searching result as claimed in claim 4 is characterized in that, described method further may further comprise the steps:
E. the click behavior of user on result page fed back to daily record and analysis module in the data analysis module, timing is calculated once more and is sorted, and the result is kept in the database.
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Families Citing this family (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8010537B2 (en) * | 2008-08-27 | 2011-08-30 | Yahoo! Inc. | System and method for assisting search requests with vertical suggestions |
| CN101650746B (en) * | 2009-09-27 | 2011-06-29 | 中国电信股份有限公司 | Method and system for verifying sequencing results |
| CN102314461B (en) * | 2010-06-30 | 2015-03-11 | 北京搜狗科技发展有限公司 | Navigation prompt method and system |
| CN102314452B (en) * | 2010-06-30 | 2015-12-16 | 北京搜狗科技发展有限公司 | A kind of method and system of being undertaken navigating by input method platform |
| CN102314462A (en) * | 2010-06-30 | 2012-01-11 | 北京搜狗科技发展有限公司 | Method and system for obtaining navigation result on input method platform |
| CN101901260A (en) * | 2010-07-20 | 2010-12-01 | 北京酷讯科技有限公司 | Method and system for displaying vertical search result in real time |
| CN101957845B (en) * | 2010-09-17 | 2011-11-23 | 百度在线网络技术（北京）有限公司 | On-line application system and implementation method thereof |
| CN102156733A (en) * | 2011-03-25 | 2011-08-17 | 清华大学 | Search engine and method based on service oriented architecture |
| US8346815B2 (en) * | 2011-05-12 | 2013-01-01 | Google Inc. | Dynamic image display area and image display within web search results |
| CN102207867B (en) * | 2011-06-01 | 2014-08-13 | 东华大学 | Customizable intelligent vertical search engine system based on.NET |
| CN103034662B (en) * | 2011-09-28 | 2016-06-08 | 富士通株式会社 | Database sharing apparatus and method, search application integrating system and method |
| CN103186647B (en) * | 2011-12-31 | 2016-05-11 | 北京金山办公软件有限公司 | A kind of method and device according to contribution degree sequence |
| CN102591969A (en) * | 2011-12-31 | 2012-07-18 | 北京百度网讯科技有限公司 | Method for providing search results based on historical behaviors of user and sever therefor |
| CN103577049B (en) * | 2012-07-24 | 2019-04-12 | 百度在线网络技术（北京）有限公司 | A kind of method, apparatus and equipment for suggesting object for providing downloading |
| CN103838754B (en) * | 2012-11-23 | 2017-12-22 | 腾讯科技（深圳）有限公司 | Information retrieval device and method |
| CN104572717B (en) * | 2013-10-18 | 2020-01-31 | 腾讯科技（深圳）有限公司 | Information searching method and device |
| CN103559253A (en) * | 2013-10-31 | 2014-02-05 | 北京奇虎科技有限公司 | Related vertical resource search method and equipment |
| CN103544307B (en) * | 2013-11-04 | 2017-08-08 | 北京中搜云商网络技术有限公司 | A kind of multiple search engine automation contrast evaluating method independent of document library |
| CN103870607A (en) * | 2014-04-08 | 2014-06-18 | 北京奇虎科技有限公司 | Sequencing method and device of search results of multiple search engines |
| CN104965839B (en) * | 2014-09-25 | 2018-09-07 | 腾讯科技（深圳）有限公司 | A kind of searching method and device of same category information |
| CN105550177B (en) * | 2014-10-28 | 2019-11-19 | 腾讯数码（深圳）有限公司 | A kind of interference method and device of search result |
| CN105701114B (en) * | 2014-11-27 | 2019-04-05 | 英业达科技有限公司 | The operating method and solution hunting system of solution hunting system |
| CN105224697B (en) * | 2015-11-16 | 2018-10-02 | 北京京东尚科信息技术有限公司 | Sort method with filter condition and the device for executing the method |
| CN105631007A (en) * | 2015-12-29 | 2016-06-01 | 云南电网有限责任公司电力科学研究院 | Industry technical information collecting method and system |
| CN106503176B (en) * | 2016-10-25 | 2019-12-24 | 英业达科技有限公司 | Solution searching system and operation method thereof |
| CN110633407B (en) * | 2018-06-20 | 2022-05-24 | 百度在线网络技术（北京）有限公司 | Information retrieval method, device, equipment and computer readable medium |
| CN109408654B (en) * | 2018-10-09 | 2020-09-15 | 杭州电子科技大学 | Die cutting plate sharing method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6370527B1 (en) * | 1998-12-29 | 2002-04-09 | At&T Corp. | Method and apparatus for searching distributed networks using a plurality of search devices |
| CN1609859A (en) * | 2004-11-26 | 2005-04-27 | 孙斌 | Search result clustering method |
| US20050165744A1 (en) * | 2003-12-31 | 2005-07-28 | Bret Taylor | Interface for a universal search |
| CN1710560A (en) * | 2005-06-22 | 2005-12-21 | 浙江大学 | Individual searching engine method based on linkage analysis |
-
2006
- 2006-06-30 CN CNB2006100363617A patent/CN100504866C/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6370527B1 (en) * | 1998-12-29 | 2002-04-09 | At&T Corp. | Method and apparatus for searching distributed networks using a plurality of search devices |
| US20050165744A1 (en) * | 2003-12-31 | 2005-07-28 | Bret Taylor | Interface for a universal search |
| CN1609859A (en) * | 2004-11-26 | 2005-04-27 | 孙斌 | Search result clustering method |
| CN1710560A (en) * | 2005-06-22 | 2005-12-21 | 浙江大学 | Individual searching engine method based on linkage analysis |
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