CN104537065A - Search result pushing method and system - Google Patents
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Abstract
The invention relates to a search result pushing method and system. The search result pushing method comprises the following steps that a query target is analyzed, and target entity data corresponding to the query target are determined in a mapping knowledge domain; other entity data relevant to the target entity data in the mapping knowledge domain are determined, and the information of the types of the other entity data is obtained; based on the other entity data and the information of the types of the other entity data, a search result is pushed to a user. According to the search result pushing method and system, according to the target entity data of search, entity data relevant to the target entity data of search are determined, pushing is conducted according to priority levels, so that pushed data are accurate, comprehensive, orderly and clearly classified, the latent demand of the user is further met, and the user can select the content which the user are interested in according to pushed label information.
Description
Technical field
The present invention relates to computer search technical field, be specifically related to a kind of method for pushing and system of Search Results.
Background technology
In recent years, along with developing rapidly of the network information technology, the growth of the data volume of internet an explosion occurred formula, user wishes more and more while Query Information, information can directly present with structurized form by inquiry system, such as: to the inquiry of certain each performance parameter of product of a sort, to the inquiry etc. of weather information.Therefore, the network data how retrieving needs quickly and efficiently have received to be paid close attention to widely.
At present, utilizing search engine to carry out information retrieval will become an important channel, and the main contents of the web page interlinkage relevant to this term and webpage are listed in the mode of list after receiving a term of user by existing search engine one by one.
Current search results pages is divided into two parts in left and right usually, and wherein, left side is mainly the search need meeting user, when there being the search behavior of clearly searching for object, provide generic search, as search " weather forecast ", provide the Search Results about weather.Right side is mainly and excites more users demand, comprises and provides the recommendation relevant to searching for keyword or the time train of thought etc. similar with the keyword of search.
But, the recommendation region of current search results pages due to unclear classification Chu, the content that there will be recommendation in a jumble and comprehensive, the problems such as recommendation results is inaccurate.In addition, also there will be the object information of recommendation stacking or repeat, user can not distinguish the degree of correlation and the importance degree of recommendation results.
Summary of the invention
In view of the above problems, the present invention is proposed to provide a kind of overcoming the problems referred to above or the method for pushing of Search Results solved the problem at least in part and system.
According to an aspect of the present invention, a kind of method for pushing of Search Results is provided, comprises the steps:
Resolve query aim, determine its target entity data corresponding in knowledge mapping;
Determine in knowledge mapping and other solid datas that described target entity data are associated, and obtain the classification information of other entities described;
Search Results is pushed to user based on other solid datas described and classification information.
Wherein, determine in described knowledge mapping and other solid datas that described target entity data are associated, comprise further: target entity data are processed, generate property value pair; According to described property value to other solid datas determining to be associated with described target entity data in knowledge mapping.
Wherein, carry out processing the step generating property value right to target entity data to comprise further:
Obtain the structural data of target entity data;
Extraction process is carried out to described structural data, generates property value pair.
Wherein, obtain the classification information of other entities described, comprise further:
Obtaining the label information of each classification, when classifying display, showing described label information at the relevant position of each classification.
Preferably, show described label information at the caption position of each classification.
Wherein, obtain the label information of each classification, comprise further:
Collect all tag of each category associations;
Calculate each tag and be applicable to such other probability;
Select described probability higher than the tag of predetermined threshold as label information.
Preferably, the method also comprises after the classification information obtaining other entities described:
Judge whether described target entity and other entities exist sample picture, if do not exist, then the picture that the inquiry of knowledge based collection of illustrative plates is relevant to described entity, at the relevant position display picture maximally related with it of described entity, if exist, show described sample picture at the relevant position of described entity.
Preferably, when there is sample picture in described entity, judge the sharpness of sample picture, if sharpness is greater than or equal to predetermined sharpness, then show described sample picture, if sharpness is lower than predetermined sharpness, then the inquiry of knowledge based collection of illustrative plates and the maximally related picture of described entity, to replace described sample picture.
Wherein, described inquiry and the maximally related picture of described entity, comprise further: obtain the picture relevant to described entity and picture text message; Resolve described picture text message, and calculate the similarity of the text message of described relevant picture and the structured text information of described entity; Select the picture being greater than highest similarity in the similarity of preset value as picture maximally related with described entity.
Preferably, after the classification information obtaining other entities described, the method also comprises:
Judge the target classification belonging to described target entity;
Determine classification and other degree of association of described target class of other entities described, determine the priority of the classification of other entities described according to the described degree of association, in recommendation region, sequencing display is carried out to described other solid datas each according to described priority.
Preferably, described recommendation region is positioned on the right side of described Search Results viewing area.
Preferably, the area in described recommendation region is less than the area of described Search Results viewing area.
According to another aspect of the present invention, a kind of supplying system of Search Results is provided, comprises:
Knowledge mapping database, is suitable for stored knowledge collection of illustrative plates;
Associated entity data determination unit, for determining and other solid datas that described target entity data are associated in knowledge mapping;
Classification information acquiring unit, for obtaining the classification information of other entities described;
Search Results push unit, for pushing Search Results based on other solid datas described and classification information to user.
Wherein, described associated entity data determination unit comprises further:
Property value to generation unit, for processing target entity data, to generate property value pair;
Other solid data determining units, for according to described property value to other solid datas determining to be associated with described target entity data in knowledge mapping.
Wherein, described property value, to generation unit, comprises further:
Structural data acquiring unit, for obtaining the structural data of target entity data;
Property value, to extraction unit, for carrying out extraction process to described structural data, generates property value pair.
Wherein, described classification information acquiring unit comprises label information acquiring unit further, for obtaining the label information of each classification.
Preferably, described Search Results push unit shows described label information at the caption position of each classification.
Preferably, described label information acquiring unit specifically comprises:
Tag collects subelement, for collecting all tag of each category associations;
Probability calculation subelement, is applicable to such other probability for calculating each tag;
Label information chooser unit, for selecting described probability higher than the tag of predetermined threshold as label information.
Wherein, this system also comprises:
Judging unit, for judging whether described target entity and other entities exist sample picture,
Wherein, described Search Results push unit is when described judging unit judges there is not sample picture, the picture that the inquiry of knowledge based collection of illustrative plates is relevant to described entity, at the relevant position display picture maximally related with it of described entity, when described judging unit it is determined that the presence of sample picture, show described sample picture at the relevant position of described entity.
Wherein, described judging unit also for, when it is determined that the presence of sample picture, judge further the sharpness of sample picture,
Described Search Results push unit is when described judging unit judges sharpness greater than or equal to predetermined sharpness, and show described sample picture, described display unit specifically comprises:
Inquiry subelement, for when described judging unit judges sharpness lower than predetermined sharpness, the inquiry of knowledge based collection of illustrative plates and the maximally related picture of described entity;
Replace subelement, for replacing described sample picture.
Wherein, described Search Results push unit also comprises:
Picture text message obtains subelement, for obtaining the picture relevant to described entity and picture text message;
Picture text message resolves subelement, for resolving described picture text message, and calculates the similarity of the text message of described relevant picture and the structured text information of described entity;
Picture chooser unit, for select to be greater than preset value similarity in the picture of highest similarity as picture maximally related with described entity.
Preferably, this system also comprises:
Target classification judging unit, for judging the target classification belonging to described target entity;
Category associations degree determining unit, for determining classification and other degree of association of described target class of other entities described,
Category preferences determining unit, for determining the priority of the classification of other entities described according to the described degree of association,
Display unit, for carrying out sequencing display in recommendation region to described other solid datas each according to described priority.
Preferably, described recommendation region is positioned on the right side of described Search Results viewing area.
Preferably, the area in described recommendation region is less than the area of described Search Results viewing area.
Beneficial effect of the present invention is:
The method for pushing of Search Results of the present invention and system, the target entity data that knowledge based collection of illustrative plates is searched for, determine associated solid data, and push according to priority level, thus propelling data can be made comprehensive, in order, interested content can be selected according to the label information pushed simultaneously.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of instructions, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:
Fig. 1 diagrammatically illustrates the process flow diagram of the method for pushing of the Search Results of the embodiment of the present invention.
Fig. 2 schematically shows the process flow diagram of the step S2 of the method for pushing of the Search Results of the embodiment of the present invention.
The method for pushing according to Search Results that Fig. 3 shows one embodiment of the present of invention carries out the webpage schematic diagram pushed.
Fig. 4 schematically shows the structured flowchart of the supplying system of the Search Results of the embodiment of the present invention.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the embodiment be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, and all terms used herein (comprising technical term and scientific terminology), have the meaning identical with the general understanding of the those of ordinary skill in field belonging to the present invention.It should also be understood that, those terms defined in such as general dictionary, should be understood to that there is the meaning consistent with the meaning in the context of prior art, unless and by specific definitions as here, otherwise can not explain by idealized or too formal implication.
In order to more clearly understand above-mentioned purpose of the present invention, feature and advantage, below in conjunction with the drawings and specific embodiments, the present invention is further described in detail.It should be noted that, when not conflicting, the feature in the embodiment of the application and embodiment can combine mutually.
Set forth a lot of detail in the following description so that fully understand the present invention; but; the present invention can also adopt other to be different from other modes described here and implement, and therefore, protection scope of the present invention is not by the restriction of following public specific embodiment.
The propelling movement of Search Results of the present invention, be that the knowledge mapping that the information collected based on search engine is set up is determined, its content pushing and recommend meets the demand of user search and potential object more.
Another aspect, knowledge mapping is intended to describe in real world the various entity or concept that exist, using entity, concept as node, limit is formed by attribute or relation, each entity or a concept well-determined ID of the overall situation identify, each attribute-value is to the intrinsic characteristic being used for portraying entity, and relation is used for connection two entities, portrays the association between them.Knowledge mapping makes knowledge acquisition more direct, and therefore knowledge mapping can provide the knowledge of semantic association for electronic reading, thus the facilitation realizing reading, intellectuality and hommization.
Fig. 1 diagrammatically illustrates the process flow diagram of the method for pushing of the Search Results of the embodiment of the present invention.
With reference to Fig. 1, the method for pushing of Search Results of the present invention, comprises the steps:
S1, parsing query aim, determine its target entity data corresponding in knowledge mapping.
In the present embodiment, when user is searched for by search engine, by resolving the target of inquiry, in knowledge mapping, search corresponding target entity data.
Data in knowledge mapping are applicable to consulting and the formatted data processed.When building knowledge mapping, after information analysis completes, data are processed, generate and be applicable to consulting and the structural data processed, structural data in the present embodiment is AVP data, AVP data lead to the structural data pair referred to containing attribute and property value, and namely " attribute-name-property value " is right, is referred to as property value pair in the present embodiment.The AVP data layout of the present embodiment is: physical name+<tab>+ attribute-name+<tab>+ property value+<tab>+ data place url+<tab>+ webpage crawl the time.
S2, to determine in knowledge mapping and other solid datas that described target entity data are associated, and obtain the classification information of other entities described;
Fig. 2 schematically shows the process flow diagram of the step S2 of the method for pushing of the Search Results of the embodiment of the present invention.
Above-mentioned steps S2 specifically comprises:
S21, target entity data to be processed, generate property value pair;
S22, according to described property value to other solid datas determining to be associated with described target entity data in knowledge mapping.
Carrying out target data processing in the right process of generation property value, first obtain the structural data of target entity data; In knowledge mapping, the corresponding property value pair of this target entity is extracted according to structural data.
In addition, when obtaining the classification information of other entities described, obtain the label information of each classification, so that when classifying display, show described label information at the relevant position of each classification.As can each classification caption position display as described in label information.
When obtaining the label information of each classification, first collect all tag of each category associations; Then calculate each tag and be applicable to such other probability; And select described probability higher than the tag of predetermined threshold as label information.
In another embodiment, also comprise after the classification information obtaining other entities described:
Judge whether described target entity and other entities exist sample picture, if do not exist, then the picture that the inquiry of knowledge based collection of illustrative plates is relevant to described entity, at the relevant position display picture maximally related with it of described entity, if exist, show described sample picture at the relevant position of described entity.
When there is sample picture in described entity, judge the sharpness of sample picture, if sharpness is greater than or equal to predetermined sharpness, then show described sample picture, if sharpness is lower than predetermined sharpness, the then inquiry of knowledge based collection of illustrative plates and the maximally related picture of described entity, to replace described sample picture.
Described inquiry and the maximally related picture of described entity, comprise further: obtain the picture relevant to described entity and picture text message; Resolve described picture text message, and calculate the similarity of the text message of described relevant picture and the structured text information of described entity; Select the picture being greater than highest similarity in the similarity of preset value as picture maximally related with described entity.
After the classification information obtaining other entities described, the method also comprises:
Judge the target classification belonging to described target entity;
Determine classification and other degree of association of described target class of other entities described, determine the priority of the classification of other entities described according to the described degree of association, in recommendation region, sequencing display is carried out to described other solid datas each according to described priority.
S3, push Search Results based on other solid datas described and classification information to user.
Described recommendation region is positioned on the right side of described Search Results viewing area.
The area in described recommendation region is less than the area of described Search Results viewing area.
Below by way of specific embodiment, said method is described in detail.
The method for pushing according to Search Results that Fig. 3 shows one embodiment of the present of invention carries out the webpage schematic diagram pushed.
As shown in Figure 3, when user needs the content of searching about the APEC meeting, input keyword " APEC " in a search engine to search for, in search procedure, according to " APEC " structural data, corresponding property value pair is extracted in knowledge mapping, and in knowledge mapping, search for the label of other entity classes relevant to " APEC ", as " international conference ", " intergovernmental international organization ", " international trade term " etc., and according to the label of other entity classes by entity extraction related to this out, as the entity extracted in " international conference " can comprise: EAS, g20, g8 summit etc.Then in the searched page of webpage, the region in left side is the search result list of target entity, is set as push area in the right side area of search page, and the title being about to the classification relevant to entity is set in sequence in the right side of search page according to the degree of correlation.In each classification title, relevant entity is shown according to the degree of correlation.In addition, if solid data exists picture, corresponding picture is presented in described recommendation region.In recommendation region, if the number of entities in each class label is many, then part entity is hidden, and pass through
In the method for above-described embodiment, by the property value of target entity to searching other solid datas be associated, and the related entities found is presented in recommendation region according to different classifications, in addition, for the solid data recommending region, sort, so that user can facilitate, consult other solid datas relevant to target entity intuitively according to the degree of correlation of data and priority.
In another embodiment of the present invention, a kind of supplying system of Search Results is provided.
Fig. 4 schematically shows the structured flowchart of the supplying system of the Search Results of the embodiment of the present invention.
With reference to Fig. 4, the supplying system of the Search Results of the embodiment of the present invention specifically comprises:
Knowledge mapping database 10, is suitable for stored knowledge collection of illustrative plates;
Associated entity data determination unit 20, for determining and other solid datas that described target entity data are associated in knowledge mapping;
Classification information acquiring unit 30, for obtaining the classification information of other entities described;
Search Results push unit 40, for pushing Search Results based on other solid datas described and classification information to user.
In the above-described embodiments, associated entity data determination unit 20 comprises further:
Property value to generation unit 201, for processing target entity data, to generate property value pair;
Other solid data determining units 202, for according to described property value to other solid datas determining to be associated with described target entity data in knowledge mapping.
Wherein, above-mentioned property value, to generation unit 201, comprises further:
Structural data acquiring unit 2011, for obtaining the structural data of target entity data;
Property value, to extraction unit 2012, for carrying out extraction process to described structural data, generates property value pair.
In above-described embodiment, classification information acquiring unit 30 comprises label information acquiring unit 301 further, for obtaining the label information of each classification.
Above-mentioned label information acquiring unit 301 specifically comprises:
Tag collects subelement 3011, for collecting all tag of each category associations;
Probability calculation subelement 3012, is applicable to such other probability for calculating each tag;
Label information chooser unit 3013, for selecting described probability higher than the tag of predetermined threshold as label information.
Search Results push unit 40 shows described label information at the caption position of each classification.
In another embodiment, often there is picture in the related entities data due to propelling movement, therefore, this system also comprises: judging unit 50, for judging whether described target entity and other entities exist sample picture,
Wherein, Search Results push unit 40 is when described judging unit 50 judges to there is not sample picture, the picture that the inquiry of knowledge based collection of illustrative plates is relevant to described entity, at the relevant position display picture maximally related with it of described entity, when described judging unit it is determined that the presence of sample picture, show described sample picture at the relevant position of described entity.
Meanwhile, judging unit 50 also for, when it is determined that the presence of sample picture, judge further the sharpness of sample picture,
Search Results push unit 40, when described judging unit 50 judges sharpness greater than or equal to predetermined sharpness, shows described sample picture.
Based on above-mentioned, Search Results push unit 40 also comprises:
Inquiry subelement 401, for when described judging unit 50 judges sharpness lower than predetermined sharpness, the inquiry of knowledge based collection of illustrative plates and the maximally related picture of described entity;
Replace subelement 402, for replacing described sample picture.
In addition, Search Results push unit 40 also comprises:
Picture text message obtains subelement 403, for obtaining the picture relevant to described entity and picture text message;
Picture text message resolves subelement 404, for resolving described picture text message, and calculates the similarity of the text message of described relevant picture and the structured text information of described entity;
Picture chooser unit 405, for select to be greater than preset value similarity in the picture of highest similarity as picture maximally related with described entity.
In another embodiment, this system also comprises:
Target classification judging unit 60, for judging the target classification belonging to described target entity;
Category associations degree determining unit 70, for determining classification and other degree of association of described target class of other entities described,
Category preferences determining unit 80, for determining the priority of the classification of other entities described according to the described degree of association,
Display unit 90, for carrying out sequencing display in recommendation region to described other solid datas each according to described priority.
The method for pushing of Search Results of the present invention and system, according to the target entity data of search, determine associated solid data, and push according to priority level, thus propelling data can be made comprehensive, in order, interested content can be selected according to the label information pushed simultaneously.
In addition, in recommendation process, to recommending the solid data in region to sort according to the degree of correlation and importance degree, being convenient to user and consulting relevant or the most most interested content intuitively, increase the accuracy of Search Results and comprehensive.
It should be noted that:
Intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with display at this algorithm provided.Various general-purpose system also can with use based on together with this teaching.According to description above, the structure constructed required by this type systematic is apparent.In addition, the present invention is not also for any certain programmed language.It should be understood that and various programming language can be utilized to realize content of the present invention described here, and the description done language-specific is above to disclose preferred forms of the present invention.
In instructions provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this instructions (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.
In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can use with arbitrary array mode.
All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.Those skilled in the art is to be understood that, server, client that microprocessor or digital signal processor (DSP) realize according to the embodiment of the present invention can be used in practice, and the some or all functions of some or all parts in the equipment such as system.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.
The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computing machine of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.
Claims (10)
1. a method for pushing for Search Results, comprises the steps:
Resolve query aim, determine its target entity data corresponding in knowledge mapping;
Determine in knowledge mapping and other solid datas that described target entity data are associated, and obtain the classification information of other entities described;
Search Results is pushed to user based on other solid datas described and classification information.
2. method according to claim 1, determines and other solid datas that described target entity data are associated, comprises further: process target entity data in described knowledge mapping, generates property value pair; According to described property value to other solid datas determining to be associated with described target entity data in knowledge mapping.
3. the method according to any one of claim 1-2, target entity data are carried out processing the step generating property value right and comprises further:
Obtain the structural data of target entity data;
Extraction process is carried out to described structural data, generates property value pair.
4. the method according to any one of claim 1-3, obtains the classification information of other entities described, comprises further:
Obtaining the label information of each classification, when classifying display, stating label information in the relevant position display of each classification.
5. the method according to any one of claim 1-4, shows described label information at the caption position of each classification.
6. the method according to any one of claim 1-5, obtains the label information of each classification, comprises further:
Collect all tag of each category associations;
Calculate each tag and be applicable to such other probability;
Select described probability higher than the tag of predetermined threshold as label information.
7. the method according to any one of claim 1-6, the method also comprises after the classification information obtaining other entities described:
Judge whether described target entity and other entities exist sample picture, if do not exist, then the picture that the inquiry of knowledge based collection of illustrative plates is relevant to described entity, at the relevant position display picture maximally related with it of described entity, if exist, show described sample picture at the relevant position of described entity.
8. the method according to any one of claim 1-7, when there is sample picture in described entity, judge the sharpness of sample picture, if sharpness is greater than or equal to predetermined sharpness, then show described sample picture, if sharpness is lower than predetermined sharpness, then the inquiry of knowledge based collection of illustrative plates and the maximally related picture of described entity, to replace described sample picture.
9. the method according to any one of claim 1-8, described inquiry and the maximally related picture of described entity, comprise further: obtain the picture relevant to described entity and picture text message; Resolve described picture text message, and calculate the similarity of the text message of described relevant picture and the structured text information of described entity; Select the picture being greater than highest similarity in the similarity of preset value as picture maximally related with described entity.
10. a supplying system for Search Results, comprising:
Knowledge mapping database, is suitable for stored knowledge collection of illustrative plates;
Associated entity data determination unit, for determining and other solid datas that described target entity data are associated in knowledge mapping;
Classification information acquiring unit, for obtaining the classification information of other entities described;
Search Results push unit, for pushing Search Results based on other solid datas described and classification information to user.
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| CN201410838571.2A CN104537065A (en) | 2014-12-29 | 2014-12-29 | Search result pushing method and system |
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| CN104866625A (en) * | 2015-06-15 | 2015-08-26 | 苏州大学张家港工业技术研究院 | Method and system for entities matching |
| CN104899285A (en) * | 2015-06-04 | 2015-09-09 | 百度在线网络技术（北京）有限公司 | Display method and apparatus for search result |
| CN105760495A (en) * | 2016-02-17 | 2016-07-13 | 扬州大学 | Method for carrying out exploratory search for bug problem based on knowledge map |
| CN106326440A (en) * | 2016-08-26 | 2017-01-11 | 北京光年无限科技有限公司 | Human-computer interaction method and device facing intelligent robot |
| CN106528892A (en) * | 2016-12-23 | 2017-03-22 | 北京奇虎科技有限公司 | Searching-based data recommendation method and device |
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