CN101980209A - Adaptive multi-field search engine calling method and system - Google Patents
Adaptive multi-field search engine calling method and system Download PDFInfo
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Abstract
The invention relates to an adaptive multi-field search engine calling method. The method comprises the following steps of: receiving a search request transmitted by a user, analyzing the search request and extracting a search element corresponding to a user requirement; calling a field frequency item set according to the search element and calculating support of the search element by each field subset in the field frequent item set; judging whether the support of the search element by each field subset reaches a preset threshold value and transmitting the search element to a field search engine corresponding to the field subset which reaches the preset threshold value; searching by the field search engine according to the search element and returning a search result; and transmitting the search result to a user according to a preset result returning logic. The invention also relates to an adaptive multi-field search engine calling system. Through the method and the system, the corresponding field search engine can be automatically called according to the search request of the user, and the associated search result is provided so as to provide accurate information search service.
Description
Technical field
The present invention relates to the search engine application technology, relate in particular to multi-field search engine call method of a kind of self-adaptation and system.
Background technology
Search engine technique grows up along with the Internet technology development, and main effect is under the situation of information explosion, and the demand that people obtain information is satisfied in the retrieval of reply magnanimity information.The mode of search engine specific implementation is not quite similar, but generally all comprises 6 essential parts: the online spider of search information (Web Spider), information analyser, index, database, searcher, user interface.But single search engine generally is difficult to satisfy the different demand of user, and this different demand refers to two aspects: one is that the information requirement of same individual under different times, different background there are differences; Another is a Different Individual, and under similar environment, the information requirement of identical input there are differences.On the other hand, because information explosion, information similar is more and more, this comprises the analog information of same area and the analog information of different field, and maximum problem is same or analogous problem expression, can produce diverse information search result in different field, this must have influence on accuracy and the validity that search service is provided for the user.
Summary of the invention
The objective of the invention is to propose multi-field search engine call method of a kind of self-adaptation and system, can call corresponding domain search engine or Service Source automatically according to user search request, Search Results targetedly is provided, thereby information search service accurately is provided.
For achieving the above object, the invention provides the multi-field search engine call method of a kind of self-adaptation, comprising:
Receive the searching request that the user sends, and analyze described searching request, extract the search key element of user's request correspondence;
Call the field frequent item set according to described search key element, calculate every field subclass in the frequent item set of described field the support of described search key element;
Judge whether described every field subclass reaches predetermined threshold value to the support of described search key element, and described search key element is sent to the domain search engine of the one or more fields subclass correspondence that reaches predetermined threshold value;
Described domain search engine is searched for according to described search key element, and returns Search Results;
Return logic according to default result described Search Results is handed down to the user.
For achieving the above object, the invention provides the multi-field search engine calling system of a kind of self-adaptation, comprising:
The searching request receiving element is used to receive the searching request that the user sends;
The searching request resolution unit is used to analyze described searching request, extracts the search key element of user's request correspondence;
The field selected cell, be used for calling the field frequent item set according to described search key element, calculate every field subclass in the frequent item set of described field to the support of described search key element, and select the field subclass that the support of described search key element is reached predetermined threshold value from described every field subclass, then described search key element is sent to the domain search engine of one or more fields subclass correspondence of selecting;
Domain search engine is used for searching for according to the described search key element that receives, and returns Search Results;
The result issues the unit, is used for returning logic according to default result described Search Results is handed down to the user.
Based on technique scheme, the present invention carries out the calculating and the coupling of support to user search request by the frequent item set technology, thereby call the domain search engine of satisfactory field subclass correspondence automatically, and then the Search Results targetedly that provides domain search engine to search, for the user provides information search service accurately.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of an embodiment of the multi-field search engine call method of self-adaptation of the present invention.
Fig. 2 is the synoptic diagram of the forming process of the frequent item set among another embodiment of the multi-field search engine call method of self-adaptation of the present invention.
Fig. 3 is the structural representation of an embodiment of the multi-field search engine calling system of self-adaptation of the present invention.
Fig. 4 is the concrete structure synoptic diagram of field selected cell among another embodiment of the multi-field search engine calling system of self-adaptation of the present invention.
Fig. 5 is the structural representation of the another embodiment of the multi-field search engine calling system of self-adaptation of the present invention.
Embodiment
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
At first the frequent item set technology is introduced.Frequent item set is the notion that is derived from the data mining field, belongs to information search or text retrieval field, says exactly the speech that occurs in surpassing candidate's analytic set of some and the set of speech simply.The excavation of frequent item set can well reduce the dimension of information analysis, and excavates the set to contributive speech of cluster and speech on the full text rank.Maximum Frequent item collection is that those all supersets are not the frequent item sets of frequent item set.Adopt the scale of Maximum Frequent item energy collecting the reduction greatly frequent item set, therefore can be used as the more compact representation that the candidate analyzes set.Simultaneously, also might further reduce the processing time, and can the field of being applied in understand domain classification and identification on the basis based on the cluster of Maximum Frequent item collection.
Multi-field search engine call method of self-adaptation provided by the present invention and system are based on the frequent item set technology, can be according to the understanding of user search and the situation of backstage information on services resource, automatically call different one or more domain search engine, search for different results, by multiple access means, for all kinds of different searching request of user provide information service accurately.
System of the present invention possesses the ability of the different search engine service ability things frequent item set of Dynamic Maintenance, by forming and safeguard the frequent item set of an engine service domain features things, reach the calculating of support between any searching request and the frequent item set, reach the ability of calling the different field service search engine.Frequent item set is divided into the frequent subclass of domain knowledge according to domain knowledge, the search things example set that the corresponding field of each frequent subclass stored is supported.
System can be by the special case things set of the frequent subclass of frequent item set matrix Adjustment System service ability support.There is following corresponding relation in the frequent item set matrix, single corresponding relation, the corresponding relation of one-to-many, the corresponding relation of multi-to-multi.The reasoning module of frequent item set can be safeguarded this corresponding relation according to the effective click-through count of search, by the periodic attenuation strategy, adjusts corresponding output things special case frequent item set, and provides service for the judgement of different field searching request.
For example, according to click computing formula, differentiate the relation between current search request and the Search Results to Search Results.If the user clicks the Search Results of having selected certain search engine.Then proved the validity of this search service, promptly produced a positive feedback, search engine is keyword hereto, or the service ability of this frequent subclass counting bonus point; If do not select, then proved the deviation of this search service, search engine is keyword hereto, or the service ability of this frequent subclass subtracts branch.
And the periodic attenuation strategy is in order to make the data normalization of accumulation, promptly reach predetermined threshold value when a lot of when the quantity of tired base meter, then by certain normalization computing formula, the service ability of the cumulative frequency variable representative of feasible service can be transformed in the evaluation marking to engine.And this marking requires in a coordinate system all engine service abilities to be estimated marking, so that be that result of calculation can compare.Simultaneously, also,, then can be excluded outside the engine service tabulation if generation is not enough owing to visiting for the information service capability resource of a certain class special case for avoiding counting deficiency for uncommon keyword.
After obtaining new searching request, support between distinguish of system searching request and the system service ability frequent item set is called the engine that meets the support definition, and is externally provided search service.
As shown in Figure 1, be the schematic flow sheet of an embodiment of the multi-field search engine call method of self-adaptation of the present invention.In the present embodiment, the multi-field search engine call flow of self-adaptation comprises:
The searching request that step 101, reception user send, and analyze described searching request, extract the search key element of user's request correspondence;
In technique scheme, when system receives the searching request that the user sends by various access devices (for example mode etc. of the web browser of mobile phone short messages or computer or WAP search), need analyze this searching request, can adopt traditional segmenting method that the character string of searching request is resolved into a plurality of search key elements for text class searching request in the present embodiment, for non-text class searching request, for example searching request such as image, video can adopt the mode of semantic understanding to extract a plurality of search key elements from searching request.
In the present embodiment, the search key element refers to express user search request, maybe can express searched information, the information characteristics that can be used for information representation and search field, concrete can comprise and be not limited to: word, speech, phrase, image, video file, audio file, or by its ensemble of communication of forming, or the characteristic set that takes out by ad hoc approach.
Can call existing field frequent item set according to these search key elements, include a plurality of fields subclass in this field frequent item set, calculate the support of each search key element in each frequent subclass then respectively, can select the field subclass that reaches predetermined threshold value by default support threshold value, if have only a field subclass that the support of search key element is reached predetermined threshold value, then will search for key element and send to the domain search engine of this field subclass correspondence, if and have a plurality of fields subclass to the search key element support reach predetermined threshold value, then can form the domain search engine tabulation, writing down the domain search engine of a plurality of fields subclass correspondence that reaches predetermined threshold value in this tabulation, will search for key element then and send to every field search engine in this tabulation.
After domain search engine is returned Search Results, Search Results is issued to the employed access device of user according to the mode that meets user's needs.When issuing Search Results, can calculate the service ability of this Search Results correspondence, judge whether to reach the service ability threshold value in this field.The service ability of Search Results correspondence is calculated in the following way, at first obtains the evaluation of engine for each Search Results, and this is estimated in performance is ordering, in other words, is exactly the marking of domain search engine for a Search Results.Here represent with parameter b.
Secondly, obtain the service ability marking of this engine for the frequent subclass in certain field, this marking is parameter a, and promptly search engine is to the service ability of frequent item set.
Parameter a, b can draw the service ability of this Search Results to this field by calculating.
If this ability reaches the threshold value of setting, then described Search Results is handed down to the user, otherwise searching request and Search Results can be sent to the manual search system, carry out the artificial cognition screening, will be handed down to the user through the Search Results of artificial cognition screening then by the related work personnel.
In the present invention, the manual search system is an optional components, because system has considered the validity of information service in design, so the searching request that is difficult to discern and calculate for system sends to the manual search system, carries out the distinguishing validity of Search Results.
If when the calculation services ability, the Search Results that reaches the service ability threshold value in this field has a plurality of, then a plurality of Search Results can be formed search result list according to the height of service ability, and search result list is handed down to the user.
The generation of field frequent item set need be before receiving the searching request that the user sends, and forms frequent subclass that each service field knowledge understanding and search service call as the every field subclass according to the historical search record, and form the field frequent item set.As shown in Figure 2, be the synoptic diagram of the forming process of the frequent item set among another embodiment of the multi-field search engine call method of self-adaptation of the present invention.Compare with a last embodiment, present embodiment gives the forming process of frequent item set, specifically comprises:
Behind the frequent item set of the field of acquisition, for search service more accurately can be provided, this field frequent item set also needs constantly to carry out maintenance update, promptly in the search service process is provided, according to the successful situation of service, forms the increment set of frequent item set.The increment set also is the increment subclass that is divided into a plurality of fields according to different service fields.
After the providing an of Search Results is provided, gather one or many index that this search relates to, dynamically adjust the calling logic of a plurality of domain search engine that this search uses then, and form the increment subclass in the corresponding a plurality of fields of this search; The increment subclass is carried out fault-tolerance test, judges whether to exist and conflicts with existing field subclass interior element, and whether to the annoyance level between the different field subclass in allowed band; According to the fault-tolerance test result described increment subclass is updated in the corresponding field subclass.
The purpose of fault-tolerance test is whether frequent increment subclass differentiating Dynamic Maintenance satisfies system requirements.Specifically can carry out in the following way:
Supposing the system exists two frequent item set A, B.After the service of carrying out the regular period, two frequent increment subclass have been produced
When each element in the increment subclass joins among corresponding frequent item set A, the B, can impact the original service ability of A, B, might reduce the reduction of original support service ability among A, the B.And this reduction degree can be calculated, if within preset range, then adds; If exceed preset range, then need consider whether add, or part adds, or the essential structure of the frequent subclass in change field.
Here the index of mentioning specifically comprises two indexs: frequent subclass central point index, and whether the otherness of promptly differentiating between each frequent subclass has greatly changed, and this variation is come out with frequent subclass central point distance calculation.The average index of former frequent each element support of subclass.Because all existing, each frequent subclass supports certain special case element set.After adding new element in the frequent excessively subclass, the average support of original special case element can change.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be finished by the relevant hardware of programmed instruction, aforesaid program can be stored in the computer read/write memory medium, this program is carried out the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
As shown in Figure 3, be the structural representation of an embodiment of the multi-field search engine calling system of self-adaptation of the present invention.In the present embodiment, the multi-field search engine calling system of self-adaptation specifically comprises: searching request receiving element 1, searching request resolution unit 2, field selected cell 3, domain search engine 4 and result issue unit 5.Wherein, searching request receiving element 1 is responsible for receiving the searching request that the user sends.Searching request resolution unit 2 is responsible for analyzing described searching request, extracts the search key element (also can comprise the search association attributes) of user's request correspondence.Field selected cell 3 is responsible for calling the field frequent item set according to described search key element, calculate every field subclass in the frequent item set of described field to the support of described search key element, and select the field subclass that the support of described search key element is reached predetermined threshold value from described every field subclass, then described search key element is sent to the domain search engine of one or more fields subclass correspondence of selecting.
Different domain search engine 4 correspondences different field subclass, can search for according to the described search key element that receives, and return Search Results.The result issues unit 5 and is responsible for returning logic according to default result described Search Results is handed down to the user.
In the present embodiment, the present invention carries out the calculating and the coupling of support to user search request by the frequent item set technology, thereby call the domain search engine of satisfactory field subclass correspondence automatically, and then the Search Results targetedly that provides domain search engine to search, for the user provides information search service accurately.
In another system embodiment of the present invention, searching request resolution unit 2 can comprise the information analysis module, and wherein information analysis module is used for described searching request is carried out semantic understanding or participle, extracts a plurality of search key elements corresponding with user's request.
In another system embodiment, the result issues the unit and can specifically comprise:
The service ability computing module is used to calculate the service ability of described Search Results correspondence;
The service ability judge module is used to judge whether the service ability of described Search Results correspondence reaches the service ability threshold value in this field;
The result issues module, is used for when the service ability of determining described Search Results correspondence has reached the service ability threshold value in this field described Search Results being handed down to the user;
Manually issue module, be used for when the service ability of determining described Search Results correspondence does not reach the service ability threshold value in this field described searching request and Search Results being sent to the manual search system, the Search Results that screens according to artificial cognition is handed down to the user.
Wherein the result issues unit further and comprises the search result list generation module, this module is used at the described Search Results that reaches the service ability threshold value in this field when being a plurality of, a plurality of Search Results are formed search result list according to the height of service ability, and issue module by described result described search result list is handed down to the user.
As shown in Figure 4, be the concrete structure synoptic diagram of field selected cell among another embodiment of the multi-field search engine calling system of self-adaptation of the present invention.Compare with a last embodiment, the field selected cell specifically comprises: field support computing module 31, support judge module 32, field tabulation generation module 33 and search key element sending module 34.Wherein field support computing module 31 is responsible for calling the field frequent item set according to described search key element, calculates every field subclass in the frequent item set of described field to the support of described search key element.Support judge module 32 is responsible for judging whether described every field subclass reaches predetermined threshold value to the support of described search key element.Field tabulation generation module 33 is responsible for forming the domain search engine tabulation of a plurality of fields subclass correspondence that reaches predetermined threshold value.Search key element sending module 34 is responsible for described search key element is sent to the domain search engine of the described field subclass correspondence of selecting.
As shown in Figure 5, be the structural representation of the another embodiment of the multi-field search engine calling system of self-adaptation of the present invention.Compare with previous embodiment, present embodiment also comprises: field frequent item set generation unit 6, this unit is responsible for forming frequent subclass that each service field knowledge understanding and search service call as the every field subclass according to historical search record, and forms the field frequent item set.
Further, system embodiment can also comprise increment subclass generation unit 7, fault-tolerance test cell 8, increment subclass updating block 9.Increment subclass generation unit 7 is responsible for gathering or the many index that this search relates to, and dynamically adjusts the calling logic of a plurality of domain search engine of this search use then, and forms the increment subclass in the corresponding a plurality of fields of this search.Fault-tolerance test cell 8 is responsible for described increment subclass is carried out the fault-tolerance test, judge whether to exist and conflict with existing field subclass interior element, and whether to the annoyance level between the different field subclass in preset range.Increment subclass updating block 9 is responsible for according to the fault-tolerance test result described increment subclass being updated in the corresponding field subclass.
The index here specifically comprises: frequent subclass central point index, and whether the otherness of promptly differentiating between each frequent subclass has greatly changed, and this variation is come out with frequent subclass central point distance calculation.The average index of former frequent each element support of subclass.Because all existing, each frequent subclass supports certain special case element set.After adding new element in the frequent excessively subclass, the average support of original special case element can change.Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; Although with reference to preferred embodiment the present invention is had been described in detail, those of ordinary skill in the field are to be understood that: still can make amendment or the part technical characterictic is equal to replacement the specific embodiment of the present invention; And not breaking away from the spirit of technical solution of the present invention, it all should be encompassed in the middle of the technical scheme scope that the present invention asks for protection.
Claims (16)
1. multi-field search engine call method of self-adaptation comprises:
Receive the searching request that the user sends, and analyze described searching request, extract the search key element of user's request correspondence;
Call the field frequent item set according to described search key element, calculate every field subclass in the frequent item set of described field the support of described search key element;
Judge whether described every field subclass reaches predetermined threshold value to the support of described search key element, and described search key element is sent to the domain search engine of the one or more fields subclass correspondence that reaches predetermined threshold value;
Described domain search engine is searched for according to described search key element, and returns Search Results;
Return logic according to default result described Search Results is handed down to the user.
2. method according to claim 1, wherein said analysis searching request, the operation that extracts the search key element of user's request correspondence is specially:
Described searching request is carried out semantic understanding or participle, extract a plurality of search key elements corresponding with user's request.
3. method according to claim 1, wherein after judging whether the support of described every field subclass to described search key element reaches predetermined threshold value, formation reaches the domain search engine tabulation of a plurality of fields subclass correspondence of predetermined threshold value, then described search key element is sent to the every field search engine in the described domain search engine tabulation.
4. method according to claim 1, wherein before the search that the reception user sends please be asked, the forming process that also comprises the field frequent item set, be specially: form frequent subclass that each service field knowledge understanding and search service call as the every field subclass according to historical search record, and form the field frequent item set.
5. method according to claim 4, the default result of wherein said basis are returned logic described Search Results are handed down to after the user, also comprise:
Gather one or many index that this search relates to, dynamically adjust the calling logic of a plurality of domain search engine of this search use then, and form the increment subclass in the corresponding a plurality of fields of this search;
Described increment subclass is carried out fault-tolerance test, judges whether to exist and conflicts with existing field subclass interior element, and whether to the annoyance level between the different field subclass in permission or preset range;
According to the fault-tolerance test result described increment subclass is updated in the corresponding field subclass.
6. method according to claim 5, wherein said index comprise the average index of frequent subclass central point index and former frequent each element support of subclass.
7. method according to claim 1, the default result of wherein said basis returns logic the operation that described Search Results is handed down to the user is specially:
Calculate the service ability of described Search Results correspondence, judge whether to reach the service ability threshold value in this field, be then described Search Results to be handed down to the user, otherwise described searching request and Search Results sent to the manual search system that the Search Results that screens according to artificial cognition is handed down to the user.
8. method according to claim 7, if the wherein described Search Results that reaches the service ability threshold value in this field is a plurality of, be handed down to the user then with the height formation search result list of described a plurality of Search Results, and with described search result list according to service ability.
9. multi-field search engine calling system of self-adaptation comprises:
The searching request receiving element is used to receive the searching request that the user sends;
The searching request resolution unit is used to analyze described searching request, extracts the search key element of user's request correspondence;
The field selected cell, be used for calling the field frequent item set according to described search key element, calculate every field subclass in the frequent item set of described field to the support of described search key element, and select the field subclass that the support of described search key element is reached predetermined threshold value from described every field subclass, then described search key element is sent to the domain search engine of one or more fields subclass correspondence of selecting;
Domain search engine is used for searching for according to the described search key element that receives, and returns Search Results;
The result issues the unit, is used for returning logic according to default result described Search Results is handed down to the user.
10. system according to claim 9, wherein said searching request resolution unit comprises:
The information analysis module is used for described searching request is carried out semantic understanding or participle, extracts a plurality of search key elements corresponding with user's request.
11. system according to claim 9, wherein said field selected cell specifically comprises:
Field support computing module is used for calling the field frequent item set according to described search key element, calculates every field subclass in the frequent item set of described field to the support of described search key element;
The support judge module is used to judge whether described every field subclass reaches predetermined threshold value to the support of described search key element;
Tabulation generation module in field is used to form the domain search engine tabulation of a plurality of fields subclass correspondence that reaches predetermined threshold value;
Search for the key element sending module, be used for described search key element is sent to the domain search engine of the described field subclass correspondence of selecting.
12. system according to claim 9 wherein also comprises:
Field frequent item set generation unit is used for forming frequent subclass that each service field knowledge understanding and search service call as the every field subclass according to historical search record, and forms the field frequent item set.
13. system according to claim 12 wherein also comprises:
Increment subclass generation unit is used to gather or the many index that this search relates to, and dynamically adjusts the calling logic of a plurality of domain search engine of this search use then, and forms the increment subclass in the corresponding a plurality of fields of this search;
The fault-tolerance test cell is used for described increment subclass is carried out fault-tolerance test, judge whether to exist and conflict with existing field subclass interior element, and whether to the annoyance level between the different field subclass in allowed band;
Increment subclass updating block is used for according to the fault-tolerance test result described increment subclass being updated to corresponding field subclass.
14. system according to claim 13, wherein said index comprise the average index of frequent subclass central point index and former frequent each element support of subclass.
15. system according to claim 9, wherein said result issue the unit and specifically comprise:
The service ability computing module is used to calculate the service ability of described Search Results correspondence;
The service ability judge module is used to judge whether the service ability of described Search Results correspondence reaches the service ability threshold value in this field;
The result issues module, is used for when the service ability of determining described Search Results correspondence has reached the service ability threshold value in this field described Search Results being handed down to the user;
Manually issue module, be used for when the service ability of determining described Search Results correspondence does not reach the service ability threshold value in this field described searching request and Search Results being sent to the manual search system, the Search Results that screens according to artificial cognition is handed down to the user.
16. system according to claim 15, wherein said result issue the unit and also comprise:
The search result list generation module, be used at the described Search Results that reaches the service ability threshold value in this field when being a plurality of, a plurality of Search Results are formed search result list according to the height of service ability, and issue module by described result described search result list is handed down to the user.
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