CN101751434A - Meta search engine ranking method and Meta search engine - Google Patents

Meta search engine ranking method and Meta search engine Download PDF

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Publication number
CN101751434A
CN101751434A CN200810240016A CN200810240016A CN101751434A CN 101751434 A CN101751434 A CN 101751434A CN 200810240016 A CN200810240016 A CN 200810240016A CN 200810240016 A CN200810240016 A CN 200810240016A CN 101751434 A CN101751434 A CN 101751434A
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China
Prior art keywords
search engine
independent
key word
searching key
search
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尹小刚
吴新丽
杨建武
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BEIJING FOUNDER E-GOVERNMENT INFORMATION TECHNOLOGY Co Ltd
Peking University
Peking University Founder Group Co Ltd
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BEIJING FOUNDER E-GOVERNMENT INFORMATION TECHNOLOGY Co Ltd
Peking University
Peking University Founder Group Co Ltd
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Priority to CN200810240016A priority Critical patent/CN101751434A/en
Publication of CN101751434A publication Critical patent/CN101751434A/en
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Abstract

The invention discloses a Meta search engine ranking method and a Meta search engine, which is used for solves the problem that the search results obtained from the Meta search engine by a user are inaccurate in the prior art. The method comprises the following steps: the Meta search engine extracts a search keyword according to a search request input by the user to determine the text type corresponding to the search keyword; the Meta search engine sends the search keyword to each called independent search engine; the Meta search engine receives the search result returned by each search engine and determines the ranking of each search result according to the saved weighting coefficient of the text type corresponding to each independent search engine; the search results the rankings of which are determined are provided for the user. The scheme can provide the user with the more accurate search results and greatly increases the search quality of the search results provided by the Meta search engine.

Description

A kind of arrangement method of META Search Engine and META Search Engine
Technical field
The present invention relates to internet information retrieval technique field, relate in particular to a kind of arrangement method and META Search Engine of META Search Engine.
Background technology
Search engine is the key components of the Internet infrastructure.Along with development of internet technology, search engine has also obtained continuous perfect, can obtain various information from the internet by search engine.Yet various search engines all have the customer group of function, using method and the expection of its specific index range, uniqueness to point to.A kind of search engine can not satisfy everyone or the Search Requirement that the people is all.In some cases, as document generaI investigation, thematic inquiry, news investigation and north source, software and the search of MP3 download address, life information search or the like, people often need to use multiple search engine, and Search Results is compared, screens and confirmation mutually.Land each search engine one by one for simplifying, and repeatedly to import same retrieval request respectively in each search engine be loaded down with trivial details operations such as same retrieval word string, META Search Engine arises at the historic moment.
META Search Engine (Meta-search Engine) integrates a plurality of independent search engine, and unified search interface is provided, and user's retrieval request is submitted to a plurality of independently search engines simultaneously, retrieves a plurality of databases simultaneously; And carry out secondary processing according to the result for retrieval of a plurality of independently search engines, as result for retrieval being gone weight, rank etc.; At last the result is exported to the user.Wherein, independent search engine can be called source search engine (Source Engine) in the system of META Search Engine.
Determine a rank that key factor is its result of first search quality.In the prior art, do not consider the difference of its search information classification that is stressed of each independent search engine that META Search Engine calls, promptly each independent search engine is more accurate to the search that a certain class or a few category information provide.Because the Search Results that provides of META Search Engine is more, and the user generally relatively pays close attention to the earlier Search Results in position, the Search Results that therefore causes obtaining from META Search Engine can not be satisfactory.
Summary of the invention
In view of this, the invention provides a kind of arrangement method and META Search Engine of META Search Engine, in order to solve the inaccurate problem of Search Results that the user obtains from META Search Engine in the prior art.
The arrangement method of a kind of META Search Engine that the embodiment of the invention provides comprises:
META Search Engine extracts searching key word according to the searching request of user's input, determines the text categories of this searching key word correspondence;
META Search Engine sends to each independent search engine that it calls with this searching key word;
Receive the Search Results that each independent search engine is returned,, determine the rank of each Search Results according to the weight coefficient of the corresponding described text categories of each independent search engine of preserving;
To determine that the Search Results after the rank offers described user.
A kind of META Search Engine that the embodiment of the invention provides comprises:
The text categories determination module is used for extracting searching key word according to the searching request of user's input, determines the text categories of this searching key word correspondence;
Sending module is used for this searching key word is sent to each independent search engine that it calls, and will determine that the Search Results after the rank offers described user;
Ranking module is used to receive the Search Results that each independent search engine is returned, and according to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, determines the rank of each Search Results.
META Search Engine that the embodiment of the invention provides and searching method, determine the text categories of the searching request correspondence that the user imports, when the result that each independent engine is returned carries out rank, weight coefficient according to the relative text classification of each independent search engine is determined, the search characteristics of its each independent search engine of calling have been taken into full account, accuracy at each text categories, thereby can provide Search Results more accurately to the user, improve the search quality of the Search Results that META Search Engine provides greatly.
Description of drawings
The arrangement method process flow diagram of a kind of META Search Engine that Fig. 1 provides for the embodiment of the invention;
Fig. 2 comprises a text categories, the arrangement method process flow diagram of META Search Engine for the searching request of user's input that the embodiment of the invention provides;
When the searching key word length of determining that Fig. 3 provides for the embodiment of the invention is longer, the arrangement method process flow diagram of META Search Engine;
A kind of META Search Engine structural representation that Fig. 4 provides for the embodiment of the invention.
Embodiment
In the embodiment of the invention in order effectively to improve the accuracy of the Search Results that the user obtains from META Search Engine, the search quality of the Search Results that the raising META Search Engine provides, as shown in Figure 1, the embodiment of the invention provides a kind of arrangement method of META Search Engine, specifically may further comprise the steps:
S101: META Search Engine extracts searching key word according to the searching request of user's input, determines the text categories of this searching key word correspondence.
Can adopt file classification method to determine the text categories of each searching key word in embodiments of the present invention.
S102: META Search Engine sends to each independent search engine that it calls with this searching key word.
S103: receive the Search Results that each independent search engine is returned,, determine the rank of each Search Results according to the weight coefficient of the corresponding described text categories of each independent search engine.
In embodiments of the present invention, the weight coefficient of the corresponding described text categories of each independent search engine is determined the accuracy of described text categories search according to each independent search engine.
Described weight coefficient according to the corresponding described text categories of each independent search engine of preserving, the rank of determining each Search Results comprises: according to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, and the position of the Search Results that returns of described each independent search engine, determine the rank of each Search Results.
S104: will determine that the Search Results after the rank offers described user.
Below in conjunction with Figure of description, the embodiment of the invention is elaborated.
In embodiments of the present invention, the classification of the search text that may relate to according to the user, determine each independent search engine of calling in META Search Engine weight coefficient of each text categories relatively, also can be understood as and determine the accuracy of each independent search engine that each META Search Engine calls each search text search, wherein, determine each independent search engine weight coefficient of each text categories relatively, can determine its evaluation of searching for each text categories each independent search engine by the user, user A for example, to being evaluated as better of independent search engine B search newsletter archive classification, or be evaluated as 80 fens, then, determine the weight coefficient of independent search engine B search newsletter archive classification by the evaluation of several users to independent search engine B search newsletter archive classification.
Certainly, also can pass through third party's test platform,, determine the accuracy of each independent search engine search text classification that META Search Engine calls, thereby determine each independent search engine weight coefficient of each text categories relatively at each text categories.In embodiments of the present invention, the weight coefficient of the relative text categories of each independent search engine that META Search Engine calls and can be 1, can certainly not limit weight coefficient and, as long as this weight coefficient can embody the accuracy that it searches for corresponding text categories.For example the text categories used always of user comprises: political situation of the time A, finance and economics B, amusement C, IT internet D, science and technology E, life F, software G etc., and, the independent search engine that this META Search Engine calls is respectively a, when b and c, after evaluation and test, the weight coefficient of determining the relative political situation of the time A of independent search engine a is 0.6, the accuracy that can be understood as the independent search engine a search text classification political situation of the time is 0.6, the weight coefficient of the relative political situation of the time A of independent search engine b is 0.3, the weight coefficient of the relative political situation of the time A of independent search engine c is 0.1, the weight coefficient of the relative amusement C of independent search engine a is 0.2, the weight coefficient of the relative amusement C of independent search engine b is 0.5, the weight coefficient of the relative amusement C of independent search engine c is 0.3, or the like, each independent search engine that definite successively META Search Engine calls is the weight coefficient of each text categories relatively.
Fig. 2 is in the embodiment of the invention, and when the searching request of user's input comprised a text categories, the arrangement method of META Search Engine specifically may further comprise the steps:
S201: META Search Engine extracts searching key word according to the searching request of the user's input that receives, and determines the text categories of this searching key word correspondence.
For example can adopt file classification method to determine the text categories of searching key word correspondence, certainly adopt other method to determine the text categories of searching key word correspondence.
S202: META Search Engine sends to each independent search engine that it calls with this searching key word.
S203: after each independent search engine receives this searching key word, search for, and return its Search Results to META Search Engine according to this searching key word.
S204: META Search Engine receives the Search Results that its each independent search engine of calling is returned.
S205: according to the text categories of this searching key word, and the weight coefficient of the corresponding text classification of each independent search engine, the search result rank that each independent search engine is returned, and will determine that the Search Results after the rank returns to the user.
Wherein, searching request according to the user's input that receives is extracted searching key word, the text categories of determining this searching key word correspondence comprises: the searching request of user's input is carried out the document cutting handle, word frequency characteristic according to searching request, extract the classification keyword in this searching request, carry out the study and the adjustment of classification keyword, after the keyword learning of each classification finishes, need carry out the weight adjustment to the vector of former each classification of support, thereby determine the searching key word of searching request, and the text categories of this searching key word correspondence.
According to the text categories of this searching key word, and the weight coefficient of the corresponding text classification of each independent search engine, the search result rank that each independent search engine is returned comprises:
For example: when the searching key word that extracts according to the request of user's inputted search was video display star Zhang San, META Search Engine determined that the text categories of this searching key word is amusement.META Search Engine sends to each independent search engine a, b and c that it calls with searching key word Zhang San.Each independent search engine is searched for according to the searching key word Zhang San who receives, and Search Results is returned META Search Engine.After META Search Engine receives the Search Results that its each independent search engine of calling returns, weight coefficient according to relative this amusement text categories of each independent search engine, for example the weight coefficient of the relative amusement C of independent search engine a is 0.2, the weight coefficient of the relative amusement C of independent search engine b is 0.5, the weight coefficient of the relative amusement C of independent search engine c is 0.3, because, the height of the weight coefficient of the relative amusement C of independent search engine is b in proper order, c and a, therefore, the Search Results that can at first independent search engine b be returned carries out rank, arrange the Search Results that independent search engine c returns then, arrange the Search Results that independent search engine a returns at last.
Because the Search Results that returns of independent search engine also may be according to carrying out rank with the level of intimate of searching key word, can think Search Results that each independent search engine is returned arrange the preceding its with the degree of correlation of searching key word than higher.Therefore, when each independently being searched Search Results that plain engine returns and carries out rank, also can be according to the weight coefficient of the relative text categories of each independent search engine, reach the position of each Search Results in total Search Results that each independent search engine is returned, each Search Results that each independent search engine is returned carries out rank output.
For example, the weight coefficient of the relative amusement C of independent search engine a is 0.2, the weight coefficient of the relative amusement C of independent search engine b is 0.5, the weight coefficient of the relative amusement C of independent search engine c is 0.3, because, the height of the weight coefficient of the relative amusement C of independent search engine is b in proper order, c and a, simultaneously, put in order in the Search Results that independent search engine a returns and be 1a, 2a, 3a, ..., put in order in the Search Results that independent search engine b returns and be 1b, 2b, 3b, ..., put in order in the Search Results that independent search engine c returns and be 1c, 2c, 3c, ..., then can comprise after the rank: 1b, 1c, 1a, 2b, 2c, 2a, 3b, 3c, 3a, ....
Perhaps, the position of each Search Results that returns according to each independent search engine in total Search Results, determine the weight coefficient of each position correspondence, and according to the weight coefficient of relative each text categories of each independent search engine, the Search Results that each independent search engine is returned carries out rank.
For example, the position of each Search Results that returns according to each independent search engine in total Search Results, determine the weight coefficient of each position correspondence, for example the weight coefficient of each position correspondence is the inverse with this corresponding number in position, such as, when a certain Search Results is n of the Search Results that returns of separate searches, n is a positive integer, and then the weight coefficient of this Search Results correspondence is 1/n.When therefore the result who again each independent search engine is returned carries out rank, for example, the weight coefficient of the relative amusement C of independent search engine a is 0.2, the weight coefficient of the relative amusement C of independent search engine b is 0.5, the weight coefficient of the relative amusement C of independent search engine c is 0.3, because, the height of the weight coefficient of the relative amusement C of independent search engine is b in proper order, c and a, simultaneously, put in order in the Search Results that independent search engine a returns and be 1a, 2a, 3a, ..., put in order in the Search Results that independent search engine b returns and be 1b, 2b, 3b, ..., put in order in the Search Results that independent search engine c returns and be 1c, 2c, 3c, ..., then the rank parameter of every Search Results returning of independent search engine a is 0.2 as can be known, 0.1,0.2/3, ..., the rank parameter of every Search Results that independent search engine b returns is 0.5,0.25,0.5/3, ..., the rank parameter of every Search Results that independent search engine c returns is 0.3,0.15,0.1, ..., be 1b therefore with the Search Results after the rank, 1c, 2b, 1a, 3b, 2c, 2a, 3c, 3a, ....
In embodiments of the present invention, when the weight coefficient of the text categories of two independent search engine correspondences was identical, the order of the Search Results that these two independent search engine are returned can be arranged arbitrarily.
Adopt the method that the embodiment of the invention provided, weight coefficient according to relative each the search text classification of each independent search engine, and the result's who returns according to each independent search engine position, determine the rank of each Search Results, the search characteristics of each independent search engine have been taken into full account, and combine the result's that each independent search engine returns characteristics, therefore adopt the method for definite rank that the embodiment of the invention provides, can make the user more accurate from the Search Results that META Search Engine obtains.
Perhaps, when the Search Results that each independent search engine is returned carries out rank,, reach the accuracy that each independent search engine is searched for each text categories, determine the rank of each Search Results according to the accuracy of each independent search engine search information.
In embodiments of the present invention, can be according to each independent search engine to the search text classification, promptly to the accuracy of the search of integrated information, determine each independent search engine first weight coefficient of this integrated information relatively, search for the accuracy of each text categories again according to each independent search engine, determine each independent search engine weight coefficient of each text categories relatively,, determine the rank of each Search Results that each search engine returns according to these two weight coefficients.Wherein, integrated information comprises the political situation of the time, finance and economics, amusement, IT internet, science and technology, life, software or the like information.
For example, independently search plain engine a and b for two, first weight coefficient of its relative integrated information is respectively 0.7 and 0.3, the weight coefficient of its relatively economical text categories is respectively 0.4 and 0.6, then work as META Search Engine and call this two independent search engine, when text categories is searched for for economic searching key word, when the Search Results that these two independent search engine are returned sorts, independently search first weight coefficient of the relative integrated information of plain engine and the weight coefficient of relatively economical text categories according to these two, when determining the rank of each Search Results, the Search Results 1a that returns of independent search engine a then, 2a...... the rank parameter be 0.28, the Search Results 1b that independent search engine b returns, 2b...... the rank parameter be 0.18, therefore, carry out rank at each Search Results that independent search engine is returned and be, can arrange the Search Results that independent search engine b returns then according to arranging the Search Results that independent search engine a returns earlier.
Simultaneously, in above-mentioned process of each Search Results being carried out rank, also rank is carried out in the position of the Search Results that can return according to each independent search engine.For example, according to the above-mentioned result who returns, when rank, can determine that rank is 1a, 1b, 2a, 2b.......
Adopt the method that the embodiment of the invention provided, weight coefficient according to relative each the search text classification of each independent search engine, and the result's who returns according to each independent search engine position, determine the rank of each Search Results, the characteristics of each independent search engine search integrated information and each text message have been taken into full account, therefore adopt the method for definite rank that the embodiment of the invention provides, can make the user more accurate from the Search Results that META Search Engine obtains.
Adopt the searching method of the META Search Engine that the embodiment of the invention provides, taken into full account the search characteristics of its each independent search engine of calling,, thereby can provide Search Results more accurately to the user at the accuracy of each text categories.
Simultaneously, in embodiments of the present invention, the position of the Search Results that when carrying out search result rank, can also return according to each independent search engine, and the weight coefficient of relative each text categories of each independent search engine, determine the order of the Search Results that each independent search engine is returned, thereby can provide Search Results more accurately to the user.
In embodiments of the present invention, provide the speed of Search Results to the user in order to improve META Search Engine, can receive each independently search engine return the part Search Results time, according to above-mentioned arrangement method this part Search Results is carried out rank, when for example receiving former pages of the homepage latter of the Search Results that each independent search engine returns, each Search Results is carried out rank.After META Search Engine receives all Search Results that each independent search engine returns, these all Search Results are carried out rank according to the method described above, the Search Results after the rank is offered the user.
Because each is search engine independently, its length that receives searching key word all is conditional, in embodiments of the present invention, can realize the search to the overlength keyword, as shown in Figure 3, specifically may further comprise the steps:
S301: META Search Engine extracts searching key word according to the searching request of the user's input that receives, and determines the text categories of this searching key word correspondence.
S302: judge whether the length of searching key word is not more than the length threshold of independent search engine searching key word, when judged result when being, carry out step S303, otherwise carry out step S305;
S303: META Search Engine sends to each independent search engine that it calls with this searching key word.
S304: return Search Results to searching key word according to receiving each independent search engine, and the weight coefficient of the relative text classification of each independent search engine, each Search Results that each independent engine is returned carries out rank, and will determine that the Search Results after the rank offers the user.
S305: when the length of searching key word during, this searching key word is split, be split as at least two clauses greater than the length threshold of independent search engine searching key word.
The method that can adopt logic to split in embodiments of the present invention is split as at least two clauses with searching key word, perhaps also can adopt other method for splitting, and this searching key word is split as at least two clauses.
S306: the length of the clause after judge splitting, whether be not more than the length threshold of independent search engine searching key word, when judged result when being, carry out S307, otherwise, carry out S309.
S307: when some clauses after splitting or a few clauses' length are not more than the length threshold of independent search engine searching key word, this one or several clause after splitting is sent to each independent search engine that it calls.
S308: return Search Results to each clause according to receiving each independent search engine, and the weight coefficient of the relative text classification of each independent search engine, each Search Results that each independent engine is returned carries out rank, and will determine that the Search Results after the rank offers the user.
S309: some clauses after splitting or a few clauses' length are during greater than the length threshold of independent search engine searching key word, according to the length threshold of independent search engine searching key word, each clause among this one or several clause is split as at least two participles.Each participle is sent to each independent search engine.
In embodiments of the present invention, can adopt the Chinese word segmentation method that each clause is split as at least two participles, can certainly adopt additive method, each clause is split as at least two participles.
S310: the Search Results that returns according to each independent search engine to each participle, and the weight coefficient of the relative text classification of each independent search engine, each Search Results that each independent search engine is returned carries out rank, and the Search Results after the rank is offered the user.
In embodiments of the present invention, when the length of the searching key word of determining during greater than the length threshold of the independent search engine searching key word of setting, this searching key word is split: at first carry out logic and split, if the clause after logic splits during still greater than the length fault value of independent search engine searching key word, utilizes Chinese words segmentation to break again.
The logic partition of being adopted in embodiments of the present invention is split as at least two clauses with searching key word and comprises: at the words and phrases logical combination that exceeds length restriction, it is decomposed into disjunctive normal form: (a1^a2^a3...) || (b1^b2^b3...) || ..., conjunctive clause wherein (a1^a2^a3...), (b1^b2^b3...), ... can be used as independently inquiry and issue search engine, the union of getting return results then respectively.
The step that the words and phrases logical combination is decomposed into disjunctive normal form comprises:
At first, the logical combination of the statement in the searching key word is carried out grammatical analysis, in computing machine, the result after the grammatical analysis is stored as parsing tree.
Then, this parsing tree of preorder traversal in the process of this parsing tree of traversal, utilizes De Mogen (DeMorgan) theorem to handle, promptly
Figure G2008102400164D0000102
Up to all getting denys that operation all is applied in the atomic proposition, and wherein, in embodiments of the present invention, atomic proposition comprises: the clause who does not contain logic connective word " and " or " or ".
Again, the parsing tree of handling is carried out preorder traversal again one time, check whether parsing tree inside occurs continuous two and does not get not operation, get continuously when not operating when occurring two, its elimination, for example ^^A=A.
Then, parsing tree is carried out postorder traversal again one time, utilize the law of distribution of propositional formula, (AorB) and (CorD)=(AandC) or (AandD) or (BandC) or (BandD) is converted into parsing tree the form of disjunctive normal form.In parsing tree, exist
Figure G2008102400164D0000103
Form the time, then this clause is invalid, it can be deleted.
The length of clause after logic splits adopts the Chinese word segmentation method that each clause is divided at least two participles during still greater than the search length threshold value of independent search engine.Clause after for example splitting be " length of the clause after the fractionation is during still greater than the search length threshold value of independent search engine; adopt the Chinese word segmentation method that each subordinate sentence is divided at least two participles ", then adopts the Chinese word segmentation method that this clause is split as and obtains the first participle " length of the clause after the fractionation still greater than the search length threshold value of independent search engine time " and second participle " employing Chinese word segmentation method is divided at least two participles with each subordinate sentence " behind two participles.
For example, when META Search Engine from the searching request of user input, when having determined the text categories of searching key word and this searching key word correspondence, when the length of this searching key word greater than some or certain several independent search engine search length threshold value, after then this searching key word being carried out logic fractionation or the fractionation of Chinese word segmentation method, be met the clause or the participle of length requirement.For example the search text type of this searching key word correspondence is software G, and it is that example describes that 3 clause a, b that obtain with fractionation and the length of c meet the demands.
3 clauses after META Search Engine will split send to independent search engine A, B and C respectively, after receiving independent search engine A, B and the C Search Results to these 3 clauses, this Search Results are carried out rank.During wherein concrete rank, weight coefficient according to the relative text classification of this each independent search engine carries out, for example, independent search engine A is respectively 1Aa at the Search Results that clause a returns, 2Aa, ..., the Search Results that returns at clause b is respectively 1Ab, 2Ab, ..., the Search Results that returns at clause c is respectively 1Ac, 2Ac, ..., independent search engine B is respectively 1Ba at the Search Results that clause a returns, 2Ba, ..., independent search engine B is respectively 1Bb at the Search Results that clause b returns, 2Bb, ..., independent search engine B is respectively 1Bc at the Search Results that clause c returns, 2Bc, ..., independent search engine C is respectively 1Ca at the Search Results that clause a returns, 2Ca, ..., independent search engine C is respectively 1Cb at the Search Results that clause b returns, 2Cb, ..., independent search engine C is respectively 1Cc at the Search Results that clause c returns, 2Cc, ..., when the Search Results that returns according to each independent search engine carries out rank, determine at the weight coefficient of each independent search engine relative search software text categories.
For example, the weight coefficient of independent search engine A relative search software text categories is 0.3, and the weight coefficient of independent search engine B relative search software text categories is 0.2, and the weight coefficient of independent search engine C relative search software text categories is 0.5.Therefore, when carrying out search result rank, META Search Engine can at first be arranged the Search Results at these 3 clauses that independent search engine C returns, arrange the Search Results that independent search engine A returns then, arrange the Search Results that independent search engine B returns at last at these 3 clauses at these 3 clauses.
Perhaps, when each independently being searched Search Results that plain engine returns and carries out rank, also can be according to the weight coefficient of the relative text categories of each independent search engine, reach the position of each Search Results in total Search Results that each independent search engine is returned, each Search Results that each independent search engine is returned carries out rank output.
For example, during rank as a result that META Search Engine returns independent search engine, because the independent search engine weight coefficient order from high to low of this search software text categories relatively is C, A and B, therefore when carrying out search result rank, can at first arrange first Search Results 1Ca that independent search engine C returns at each clause, 1Cb and 1Cc, wherein, order between these three Search Results can be arranged arbitrarily, then, arrange the first Search Results 1Aa that independent search engine A returns at each clause, 1Ab and 1Ac, wherein, order between these three Search Results can be arranged arbitrarily, again, arrange the first Search Results 1Bc that independent search engine B returns at each clause, 1Ba and 1Bb, wherein, order between these three Search Results can be arranged arbitrarily, again, second Search Results 2Ca that row's independent search engine C returns at each clause, 2Cb and 2Cc, the result who successively each independent search engine is returned according to this order carries out rank, and the Search Results after the rank is offered the user.
Perhaps, the position of each Search Results that returns according to each independent search engine in total Search Results, determine the weight coefficient of each position correspondence, and according to the weight coefficient of relative each text categories of each independent search engine, the Search Results that each independent search engine is returned carries out rank.
For example, the position of each Search Results that returns according to each independent search engine in total Search Results, determine the weight coefficient of each position correspondence, for example the weight coefficient of each position correspondence is the inverse with this corresponding number in position, such as, when a certain Search Results is n of the Search Results that returns of separate searches, n is a positive integer, and then the weight coefficient of this Search Results correspondence is 1/n.Wherein, when the weight coefficient that obtains when two Search Results is identical, can the arranging arbitrarily of this two Search Results.
Perhaps, when the Search Results that each independent search engine is returned carries out rank,, reach the accuracy that each independent search engine is searched for each text categories, determine the rank of each Search Results according to the accuracy of each independent search engine search information.
Simultaneously, when the Search Results that each independent search engine is returned carries out rank, can also be according to the accuracy of each independent search engine search information, each independent search engine is searched for the accuracy of each text categories, and the position of the Search Results that returns of each independent search engine, determine the rank of each Search Results.Here just do not give unnecessary details one by one, believe that those skilled in the art can be according to the foregoing description, the method that provides according to the embodiment of the invention is with the rank of each Search Results.
As shown in Figure 4, a kind of META Search Engine for the embodiment of the invention provides comprises:
Text categories determination module 40 is used for extracting searching key word according to the searching request of user's input, determines the text categories of this searching key word correspondence;
Sending module 41 is used for this searching key word is sent to each independent search engine, and will determine that the Search Results after the rank offers described user;
Ranking module 42 is used to receive the Search Results that each independent search engine is returned, and according to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, determines the rank of each Search Results.
Described META Search Engine also comprises:
Judge module 43 is used to judge whether the length of described searching key word is not more than the length threshold of independent search engine searching key word;
Split module 44, be used for described searching key word being split as at least two clauses when the length of described searching key word during greater than the length threshold of independent search engine searching key word.
Described judge module 43 also is used for,
Judge whether each clause's length is not more than the length threshold of independent search engine searching key word.
Described fractionation module 44 also is used for,
When described each clause's length during,, described each clause is split as at least two participles according to the length threshold of each independent search engine searching key word greater than the length threshold of independent search engine searching key word.
Described ranking module 42 also is used for,
According to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, and the position of the Search Results that returns of described each independent search engine, determine the rank of each Search Results.
Described ranking module 42 also is used for,
According to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, reach the weight coefficient of the relative integrated information of described each independent search engine, determine the rank of each Search Results.
Described ranking module 42 also is used for,
Weight coefficient according to the corresponding described text categories of each independent search engine of preserving, the position of the Search Results that described each independent search engine is returned, reach the weight coefficient of the relative integrated information of described each independent search engine, determine the rank of each Search Results.
META Search Engine that the embodiment of the invention provides and searching method, determine the text categories of the searching request correspondence that the user imports, when the result that each independent engine is returned carries out rank, weight coefficient according to the relative text classification of each independent search engine is determined, the search characteristics of its each independent search engine of calling have been taken into full account, at the accuracy of each text categories, thereby can provide Search Results more accurately to the user.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.

Claims (14)

1. the arrangement method of a META Search Engine is characterized in that, comprising:
META Search Engine extracts searching key word according to the searching request of user's input, determines the text categories of this searching key word correspondence;
META Search Engine sends to each independent search engine that it calls with this searching key word;
Receive the Search Results that each independent search engine is returned,, determine the rank of each Search Results according to the weight coefficient of the corresponding described text categories of each independent search engine of preserving;
To determine that the Search Results after the rank offers described user.
2. the method for claim 1 is characterized in that, the weight coefficient of the corresponding described text categories of described each independent search engine is determined the accuracy of described text categories search according to each independent search engine.
3. the method for claim 1 is characterized in that, described method further comprised before described META Search Engine sent to each independent search engine with this searching key word:
Judge whether the length of described searching key word is not more than the length threshold of independent search engine searching key word;
When the length of described searching key word is not more than the length threshold of independent search engine searching key word, carry out the described step that this searching key word is sent to each independent search engine;
Otherwise, described searching key word is split as at least two clauses.
4. method as claimed in claim 3 is characterized in that, described method further comprises:
Judge whether each clause's length is not more than the length threshold of independent search engine searching key word;
When described each clause's length is not more than the length threshold of independent search engine searching key word, carry out the described step that each clause of this searching key word is sent to each independent search engine;
Otherwise,, described each clause is split as at least two participles according to the length threshold of each independent search engine searching key word.
5. the method for claim 1 is characterized in that, described weight coefficient according to the corresponding described text categories of each independent search engine of preserving determines that the rank of each Search Results comprises:
According to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, and the position of the Search Results that returns of described each independent search engine, determine the rank of each Search Results.
6. the method for claim 1 is characterized in that, described weight coefficient according to the corresponding described text categories of each independent search engine of preserving determines that the rank of each Search Results comprises:
According to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, reach the weight coefficient of the relative integrated information of described each independent search engine, determine the rank of each Search Results.
7. as claim 1 or 6 described methods, it is characterized in that described weight coefficient according to the corresponding described text categories of each independent search engine of preserving determines that the rank of each Search Results comprises:
Weight coefficient according to the corresponding described text categories of each independent search engine of preserving, the position of the Search Results that described each independent search engine is returned, reach the weight coefficient of the relative integrated information of described each independent search engine, determine the rank of each Search Results.
8. a META Search Engine is characterized in that, comprising:
The text categories determination module is used for extracting searching key word according to the searching request of user's input, determines the text categories of this searching key word correspondence;
Sending module is used for this searching key word is sent to each independent search engine that it calls, and will determine that the Search Results after the rank offers described user;
Ranking module is used to receive the Search Results that each independent search engine is returned, and according to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, determines the rank of each Search Results.
9. META Search Engine as claimed in claim 8 is characterized in that, described META Search Engine also comprises:
Judge module is used to judge whether the length of described searching key word is not more than the length threshold of independent search engine searching key word;
Split module, be used for described searching key word being split as at least two clauses when the length of described searching key word during greater than the length threshold of independent search engine searching key word.
10. META Search Engine as claimed in claim 9 is characterized in that described judge module also is used for,
Judge whether each clause's length is not more than the length threshold of independent search engine searching key word.
11. META Search Engine as claimed in claim 10 is characterized in that, described fractionation module also is used for,
When described each clause's length during,, described each clause is split as at least two participles according to the length threshold of each independent search engine searching key word greater than the length threshold of independent search engine searching key word.
12. META Search Engine as claimed in claim 8 is characterized in that, described ranking module also is used for,
According to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, and the position of the Search Results that returns of described each independent search engine, determine the rank of each Search Results.
13. META Search Engine as claimed in claim 8 is characterized in that, described ranking module also is used for,
According to the weight coefficient of the corresponding described text categories of each independent search engine of preserving, reach the weight coefficient of the relative integrated information of described each independent search engine, determine the rank of each Search Results.
14. META Search Engine as claimed in claim 8 is characterized in that, described ranking module also is used for,
Weight coefficient according to the corresponding described text categories of each independent search engine of preserving, the position of the Search Results that described each independent search engine is returned, reach the weight coefficient of the relative integrated information of described each independent search engine, determine the rank of each Search Results.
CN200810240016A 2008-12-16 2008-12-16 Meta search engine ranking method and Meta search engine Pending CN101751434A (en)

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Application publication date: 20100623