CN108431806A

CN108431806A - Assisted search query

Info

Publication number: CN108431806A
Application number: CN201680073507.7A
Authority: CN
Inventors: R.达亚; A.古普塔; S.D.辛哈; S.P.肯杜里; 吴显仁; G.R.拉克什马南; 吴博翔; V.安吉; J.A.圣; T.P.乔尔德特; G.A.瓦罗赫; Z.T.皮普迈尔; 余子安; 周山
Original assignee: Microsoft Technology Licensing LLC
Current assignee: Microsoft Technology Licensing LLC
Priority date: 2015-10-14
Filing date: 2016-10-13
Publication date: 2018-08-21
Anticipated expiration: 2036-10-13
Also published as: CN108431806B; CN113849518A

Abstract

Systems and techniques for assisting search queries are described herein. These techniques may include assisting in the creation of search queries, facet expansion, or search result refinement. Facilitating creation of the search query may include the search flow selector appearing dynamically as the user enters text in the text entry element. Facet expansion may include specifically creating facets from the relevant results and suggesting those facets to the user. Search result refinement may include creating context-dependent facets and using them to refine the displayed search results.

Description

Assist search inquiry

Prioity claim

Patent application claims following priority application interests：The Serial No. No. 15/253 that August in 2016 is submitted on the 31st, The U.S. Patent application of 381, entitled " ASSISTED CREATION OF A SEARCH QUERY ", this application transfer to require sequence Row number be No. 62/241,375, entitled " SEARCH STARTERS " and on October 14th, 2015 U.S. submitted it is interim The priority of application；Serial No. No. 15/253,644, entitled " the SYSTEM FOR FACET that August in 2016 is submitted on the 31st The U.S. Patent application of EXPANSION ", this application transfer to require Serial No. No. 62/241,405, entitled " SMART SEARCH FILTERS " and in the priority of the October in 2015 of the U.S. Provisional Application submitted on the 14th；And August 31 in 2016 The U.S. Patent application of Serial No. No. 15/253,667, entitled " SEARCH RESULT REFINEMENT " that day submits, This application transfer to require Serial No. No. 62/241,611, entitled " PRIORITIZED SEARCH RESULTS " and in October in 2015 U.S. Provisional Application submitted on the 14th priority, the full content of all applications above-mentioned passes through reference It is incorporated herein.

Technical field

Embodiment described herein search engine is related generally to, more particularly, to the auxiliary establishing of search inquiry.

Background technology

Search engine usually provides a kind of request of input data and by the request and data bins（data store）In The matched structured mechanism of project.These data bins projects generally include multiple fields comprising data or to other data Reference.Known field configuration of the request of data often about data in data bins carries out structuring.In this way, foring （formulate）Such as the inquiry of request header field, the field include all or part of of article title.

Receive inquiry after, search engine usually parse the inquiry so as to determine when and where search for data bins, wound Build inquiry plan.Then, search engine executes inquiry plan, collects result.These results once position, can be according to inquiry Other parameters are further manipulated.These manipulation may include to sort result, polymerization result to generate certain number, etc. Deng.Then, after manipulation, by final result back to agency, for example to show search result to user.In some examples In, searching request search engine that user then can just complete is further to manipulate search result.

Description of the drawings

In the attached drawing being not drawn necessarily to scale, similar number can describe similar component in different views.Tool There is the like numeral of different letter suffix that can indicate the different examples of like.These attached drawings are usually by way of example Rather than each embodiment discussed in this document is illustrated by way of limitation.

Fig. 1 illustrates the example of the system for assisting search inquiry according to one embodiment.

Fig. 2 illustrates the functional component of the social networking service according to one embodiment.

Fig. 3-6 illustrates the example of the user interface element for auxiliary establishing search inquiry according to one embodiment.

Fig. 7 illustrates the example of the method for auxiliary establishing search inquiry according to one embodiment.

Fig. 8 is illustrated is used for facet according to one embodiment（facet）The example of the user interface of extension.

Fig. 9 illustrates the example compared for the entity of facet extension according to one embodiment.

Figure 10 illustrates the example of the method for facet extension according to one embodiment.

Figure 11-13B illustrate the example of the user interface element for search result refinement according to one embodiment.

Figure 14 illustrates the example of the method for search result refinement according to one embodiment.

Figure 15 is the block diagram for the example for illustrating the machine that can realize one or more embodiments on it.

Specific implementation mode

For the user for complicated data using complicated research tool, there is a common problem：User Must put into a large amount of time learns these research tools（Query language, adjusting parameter, etc.）, and possibly collection and group Previous successful query is knitted to reuse in the future.These problems are in the still search with different purposes times frequent occurrence It may aggravate in business, the task such as recruiter searches for the work of applicant database.In suchlike task, User may spend the time study how to search for surpass execute its major function, be such as vacancy job recruiter.

Inquiring structuring tool can alleviate some problems indicated above.Surpassing the pure interface of offer will search to input The value and field of rope, these tools can receive initial input value and suggest successor value to select.In some examples In, workflow can be used for that user is guided to complete query generation.In an example, workflow is selected by user, and Then user starts to complete workflow according to prompt.One problem of many workflow realization methods may include gained work Make the stiffness of flow.For example, after user becomes more to get used to specifically to inquire and use, workflow prompt may be One slow for the user or cumbersome in other respects interface.

In order to solve problems noted above, disclosed herein is the technology and systems for auxiliary establishing search inquiry.It will Text entry user interface is presented to the user.When user begins typing inquiry, the inquiry that input is used to suggestion is completed Option（Such as it keys in advance）.However, surpass it is traditional key in advance, these complete options be several possible workflows Option those of in journey.Therefore, when the user selects a particular option, workflow has also been selected.When it is completed, it can will work Flow element is put into textual entry, as pellet（pill）, that is, indicate the graphic element previously selected.Then, text item Background text prompt on mesh element can prompt instruction user with regard to next workflow.At any time, user can Promote the search to exit the workflow and starts a search using the parameter of input.In this way, user with it is ripe The search box interaction known, while obtaining guiding in the case of no past stiff workflow interface and searching for the benefit created Place.Hereinafter, additional example and details are discussed.

After searching, search result is shown to user.In some instances, data may too greatly or in other respects It is particular problem clumsy and that user cannot be answered.However, the data in search result include to meet the raw material of user. In these examples, facet can be used for allowing further to manipulate the number in search result in the case where not executing additional search According to.In general, facet is the one side of the record returned in search result.In general, this aspect is rendered as selectable use Family interface element.Furthermore the selectable user interface element includes often the counting of the project with specific facet.For example, If it is intended to " TV " is searched in electronic storefront, then the facet for search result may include such as " LCD ", " OLED " Or the thing of " being more than 50 inches " etc.Although may not be each search result has one of these facets, Some search results will.Selection facet is arranged or is filtered by search result so that the search result with facet is shown Show.If user wants to see that LCD TV, such user select " LCD " facet.If user then wants to see OLED TVs, that User can simply remove " LCD " facet and add " OLED " facet.All these can not added usually It is completed in the case of search.In this way, user can efficiently and alternatively handle search result.

Although facet may be helpful, they are normally limited to the data returned as the part of search result Aspect or dimension.What is lacked is that the interaction of extension facet dynamically facilitates mode to include coming from not tying in search It is in fruit or not by the facet of the element of initial search result suggestion, and place it in and built previously as what is selected for user View.Described herein is the technology and systems extended for facet.Facet extension takes user interface to suggest the form of element, uses Family can add facet from its selection and be added to search result.It is described to suggest from the context selected including previous facet Middle acquisition clue.Therefore, user experience is not interrupted by new interface, and the ability at interface increases.

The suggestion（Such as it is shown or keyed in advance when adding facet）It is derived from similar entity.When at this In use, entity is the individual item in given classification in text.Therefore, two work titles " software engineer " and " software is opened Hair personnel " are the different entities in " work title " classification.In an example, entity is the aspect of social media brief introduction, so And other record types of such as product list, asset inventory etc. will have the analogous element as entity.Brief introduction Other data including specific entity, such as place, technical ability etc..Entity may collect in peer-group.These can be added The entity not indicated in facet user interface element in peer-group generates the facet selection than previously available selection extension.

Entity is grouped as peer-group can be based on the degree of approach index of the attribute in entity.Although certain parent between entity It is necessary with property for they are collected into peer-group, but benefit may be had by promoting the difference between those groups.Cause This, if using " software engineer " in New York using term " software developer " in California, but at other These titles of aspect but refer to identical work, even when having input entity " software developer " can also as facet Suggest in the place that " California " is provided.

Peer-group identification is the statistical analysis based on entity attribute.The analysis in a pair wise manner determine entity between be total to The same sex and novelty（Such as difference）The two.Peer-group, which contacts relationship, can be used for the entity attribute weighting for suggestion.Cause This, the bad entity of two correlations will provide the attribute suggestion with low weight.Entity suggestion can also be inputted by facet Sequence be weighted.The example regulation user keeps thinking while selecting facet.For example, if inputting technical ability in order " Java " and " Html " is used as technical ability facet, other all it is equal, then the technical ability suggestion based on " Html " facet will be prior to Those of " Java " attribute is suggested.Ranking can also be based on user.For example, place deduction one that can be based on the people for executing search A place.

Therefore, facet extension may include identification peer-entities, estimate the compatibility between peer-entities（Such as it is overlapped）, It is presented to the user to the entity attribute ranking in peer-group, and by high ranking entity, is keyed in advance as such as facet entry Or addition is suggested immediately.

Search inquiry comes from two sources：Member characteristic and similar features.The two sources have dominant character and potential Feature.Output should be the characteristic value and associated score for each facet/dimension.

As noted above, search may include the inquiry phase for generating search result and the result for manipulating return Inquiry phase afterwards.One example of the manipulation is interaction addition or reduces facet and filtered based on the facet set currently selected Search result.Facet is also referred to as dimension, is the attribute of the record in search result.Facet permission is being not carried out additional searching In the case of expense or inconvenience in a manner of usually interactive focus search results.

In some search missions, people will utilize each search result to execute a task.A reality used herein Example is the example that recruiter searches for candidate application.Another example can be that for example researcher searches about a problem Document.In each in these examples, user will be likely to devote a tremendous amount of time in each result finally identified. Although good search and utilization can use the appropriate filtering of facet there may be good search result, it is usually still present The result that many will be handled effectively.In order to solve this problem, this paper presents a kind of systems of search result refinement.This is thin Change includes specific to search mission rather than the facet set of data.When obtaining such as data of search result form, calculate Search mission facet and it is added to search result.Although effective facet, the property specific to context of these refinements Mode of operation it is different, add data to record, such as be interested in being searched at one, but search at another It is not necessarily related in rope.Individual user interface is presented to the user so as to select these dependent on context facet and into Step refining search result.Since the technology does not require to change bottom data, thus existing search system can be added it to System.Further, by using the context for wherein executing search, user experience is more intuitively searched as not additional work Cable body is tested.

In the example that wherein user is recruiter, these are properly termed as talent bank dependent on the facet of context.Often A talent bank can be on backstage（Such as it is not together in real time but prior with search）It calculates, and is led from contextual feature Go out, the identity of the contextual feature such as user（Such as previous user's search, it is previous employ, previous candidate contact People etc.）, available to user search stream（Such as guiding search）, the company that may search for（Such as candidate or user Company connects, the company of candidate participates in, the past applicant etc. of company）, and record（Such as candidate's brief introduction）Its In terms of him, the time of such as current position or the competitive talent.In an example, batch-type mechanism of Machine Learning（Such as Neural network, support vector machines etc.）It is top for determining（Such as ten best）The competition of competitor or top school Property Talent Value.Herein, these values show to compete employer employs people from what company or school.This is to rely on context One example of facet, can greatly improve and the search of recruiter is supplied to manipulate.Hereinafter provide additional details And example.

Fig. 1 illustrates the example of the system 125 for assisting search inquiry according to one embodiment.System 125 is being grasped As when be communicatively coupled to network 120 and data bins 130.Network 120 allows system 125 to transmit user interface, and receives and come from The user of such as user equipment of laptop computer, tablet computer, smart phone etc. inputs.As shown, with Family interface is the search interface for including top barrier 105, side rail 115 and results area 110.Data bins 130 include record 135, it is illustrated as the candidate record for possible employee herein.Although having used recruiter to search for through this document to wait The example chosen, but other kinds of record and search similarly benefit from the system and technology being discussed herein.

The component of system 125 is can be directed to the computer hardware realization that specific operation is configured by software, such as Utilize memory, storage device（Such as tape, the hard disk drive etc. based on disc）, transceiver, search engine, inquiry connect Mouth, multiplexer, circuit etc. are realized.For convenience, the operation of system 125 will be described with reference to following component：Inquiry Interface, multiplexer, search engine, filter, grader and subscriber interface module.These components are individually or with various combination Ground is refined via auxiliary establishing search inquiry among other as explained in greater detail below, facet extension and search result and is supported Assist search inquiry.

About auxiliary establishing search inquiry, query interface is arranged in graphic user interface（GUI）Upper presentation text is defeated Enter domain, and receives user's input at textview field.Query interface is coupled to multiplexer, which receives several inputs And generate single output.In response to receive user input, perhaps by multiplexer feed query interface be arranged to presentation with The procedure selector that tA entry field is in contact.This example illustrate known to user and overloaded not interrupt use Allow the standard search interface for selecting workflow in the case of family（Textview field）Use.Therefore, procedure selector includes base In the process selecting set of user input selection.In an example, process selecting includes the mark and sample result of flow Mark.One illustration of the program is provided about Fig. 3.Substantially, it keys in advance and is expanded to include that possible text is complete These suggestions are grouped at suggestion, and using process selecting.In an example, the flow presented in procedure selector is based on The key entry suggestion in advance found.These suggestions can be realized any one of in many ways, such as using query expansion, operation It inquires and to result ranking.In an example, the flow based on other searchers uses selection flow.In these examples, The data suggested combining and currently inputted in the flow and input textview field are keyed in advance.

Query interface is arranged to the user's selection for receiving process selecting.In an example, flow by keying in advance The user of option selects and selects.In this example, user is selected without being individually recognizable flow, but is selected from flow One option.This simplifies user interface and improve the total satisfaction of user.In an example, user selection include Selection to the second result presented in process selecting.In this example, flow can not include additional problem, but can be with Such as receive the additional input of raw data points.Such as, if it is desired to job hunter is searched for using example candidate, then initially carrying Preceding key entry can be example candidate.However, in the search of such Case-based Reasoning, the uniqueness of the first example candidate Result may be limited to have those of those uniquenesses candidate.For example, if example candidate likes boat Software developer, then the machine intelligence for receiving the data of the candidate may tend to include boat fan.In order to It solves the problems, such as this, can identify additional candidate and uses it for sample set.In order to promote the activity, workflow into Row extremely prompt user searches for additional ideal candidate.Now, the more healthy and stronger sample set of utilization, the phase between example candidate It can be by searching for smartphone like property, and it is used for more fruitful search.One example of the interface is provided about Fig. 4.

In response to user's selection of process selecting, query interface, which is arranged to, is presented subsequent step flow element.Herein, Workflow is underway, and can show additional problem to facilitate the structure inquiry.As noted above, these Inquiring structuring is completed in workflow prompt or guiding user of the element based on selection.These subsequent steps can be in text input Background text is rendered as on domain.When doing so, user need not use mouse or otherwise leave comfortable text input Domain is to add data to workflow.

Then, query interface is filled from subsequent step flow element collection user's inquiry selection and the flow of user is selected Select corresponding query template.User, which inquires selection, to be promoted by multiplexer, receive from the user various defeated Enter selection and user interface is prompted to show the additional data request of user.In an example, process selecting be position, people or At least one of person post.The selection of these example process is related with the recruitment search of such as user.Herein, process selecting with Such as user is as example or work position（job post）Search as example is corresponding.The two workflows receive Identify the data of the record 135 in data bins 130.Once identifying these records, extracting the attribute of record and being used as The parameter of search engine.Position workflow is a kind of more conventional search, and wherein user will be prompted to enter about position Technical ability, place required by detail, such as position etc..The example of these user interface elements shows about Fig. 5 and Fig. 6 Go out.

In an example, selection is inquired in order to collect user from subsequent step flow element, query interface is arranged to It replaces the user at textview field to input using the graphic element in textview field, and cursor is moved on to the graphic element in textview field Later.It is this that the graph technology for the selection previously made is marked to allow to notify which choosing user has been made in textview field It selects.In an example, graphic element takes the form of the pellet including at least one of editing or deleting control.Cause This, user easily can generally search for interactive situation for example need not restarting workflow or otherwise interrupt it It is lower to remove previous selection or edit them.

Search engine, which is arranged to, executes query template to generate search result.Query template is executed to be related to from inquiry Key assignments pairing is extracted, and is formatted to be interacted with search engine.Therefore, if being extracted position（Key）It is passed through with software Reason（Value）, then search can be formed, such as SELECT * FROM RECORDS WHERE positions EQUALS " software manager " Etc..The simplified example can be based on the Application Programming Interface for search engine（API）It modifies.It can also use and promote The additional formats of search mechanisms based on machine intelligence such as select specific input neuron or input god based on the key Gather through member, and corresponding value is fed as input to these neurons.

In order to execute query template, search engine is also arranged in from the result for being not found in query template in intermediate result Middle extraction entity.Herein, entity is a kind of attribute type in record.For example, place, experience level, hobby etc. are real Body, and name is attribute.Entity may include additional attribute.For example, work title entity may include regional change and with The relationship of another entity.For example, title " software engineer " can be the local title in New York, the head with California It is related to hold in the mouth " software developer "（Such as it is identical）.

In an example, in order to extract entity, search engine is arranged to through connecing from the entity in query template Recency index is to entity ranking.Herein, for example, pass through example search search in entity be used for other record in reality Body ranking.Entity sets are closer to the entity those of in query template, it may be considered that record is more related accordingly. In one example, statistics position of the degree of approach index based on entity in group.It can be mean value, intermediate value, standard to count position One in deviation etc..Herein, the degree of approach is the relationship between query template entity and the entity found.For example, if The two is near intermediate value（Such as the within the threshold range in the intermediate value adjusted for sample-size）, it is considered that they are close 's.In an example, the degree of approach is the original value of difference so that with a distance from the intermediate value of query template from candidate entity away from It is subtracted from, the result is that degree of approach index.

In an example, the degree of approach index used depends on the entity type of entity.For example, degree of approach index and meter It calculates different from position.This allows that the huge variety of data that can compare are setup flexibly.In an example, entity type It is company.Herein, degree of approach index accesses the frequency of company's object based on searchers.That is, it is emerging more to feel company by candidate Interest --- this company search number made by candidate, accessing company introduction or the number of website etc. proves, then the time It chooses bigger with the degree of approach of the corporate entity in query template.In another example that wherein entity type is company, connect Recency index is based on the competition between the tissue representated by entity.The competition can be from such as market survey, court document or The past intersection of person employs activity（For example, company A has employed the talent from company B, vice versa）Etc external source receive The score of collection.

In an example, entity type is title.Herein, searchers session hair of the degree of approach index based on title It is raw.The operation instruction searchers of same ession for telecommunication title may always search for previously not yet hitting correct group of inquiry element The thing of conjunction.Therefore, including the title of prior searches allows to expand to user's interested title.Similarly, at one In example, the degree of approach score of these titles difference can be given, because user has searched for them and found that they are scarce Weary.In an example, entity type is description.Herein, degree of approach index is the distance derived from semantic analysis.It is specific Semantic analysis can be inverse document frequency, word vector approximation etc..These technologies generate the numerical value that can be used for calculating distance. In general, creating the space with the number of dimensions equal with sample file.Word, phrase or other parts of speech are according to its in given sample Occur or importance is drawn along each dimension.It is then possible to compare these coordinates（Coordinate on extraordinary image map）So as to Obtain distance.The distance is the example degree of approach index for describing entity.

It can be carried out as follows using an example of ideal candidate set given above.Multiplexer will receive the ideal Candidate gathers, and generation includes the search inquiry of technical ability, title, company etc..Then, which search is submitted to draw It holds up to obtain optimal result.The result of query generation will be evaluated, and be indexed offline to be proposed to be used in search engine, gone to advise Format either other enhancing Different Strategies or parameter setting.Show that the technology of superperformance will be selected and be deployed in search It indexes in holding up for subsequent query.Since how Performance of Search Engine is frequently dependent on ranking function using in search inquiry Information, thus appraisal procedure is notified by ranking function.

One example of the training data for assessment may include that whether searchers will station in identical search sessions Interior letter（Such as the message in social media service）It is sent to several results.Herein, these results are likely to be suitble to searchers In the eyes of position.Therefore, these results are similar to each other, and if searchers, which uses some of which to be used as, is used for the duty The inquiry starter of position（For example, ideal candidate passes through example search）, then other results are also likely to be relevant result.

Therefore, search sessions are given, select at random some searchers be sent to stand interior letter result as ideal candidates People.It is considered related to ideal candidate with remaining result believed in station.The result of interior letter of not standing is considered irrelevant 's.The data are given, the different piece in the inquiry of generation, such as technical ability, title and company are individually assessed.For example, giving Fixed ideal candidate set as above, extraction skill collection s={ s1, s2 ... sk }.By calculating correlated results in these technical ability On reputation（reputation）Score（By average）：Reputation (R+, S) and irrelevant result are in these technical ability Reputation score：Reputation (R-, S) assesses the set.In an example, this is that ranking function uses in inquiry Technical ability is to result ranking（Such as using the sum of reputation score in the technical ability of result in queries as feature）Same way. Therefore, if Reputation (R+, S)>Reputation (R-, S), then correlated results will be likely to than irrelevant knot Fruit ranking higher.Therefore, this assessment mode will meet the performance of the inquiry in current search system.

Similarly, for title set T, can by by the current title in title and correlated results in much journeys It is matched on degree and they is compared with the matching degree of the current title in irrelevant result, to assess these titles.When working as When preceding search rank function gives current title matching high weight, if the matching of the title of T and correlated results is than irrelevant knot The title of fruit more preferably, then inquiry T will show well.

In order to execute query template, search engine is also arranged in selects entity based on degree of approach index.As noted above Go out, degree of approach index provide it is a kind of about candidate entity with（Such as be easily selected by a user）It has been query template Partial（Such as be included）Those entities have how close measurement.In an example, degree of approach index is based on to select Entity includes that search engine selects the entity when degree of approach index is more than threshold value.In this example, it avoids and is too close to It is the entity of those of the part of query template entity.This allow query template by search extension be include it is related but not Same entity.In an example, entity is selected in order to be based on degree of approach index, search engine is arranged to be connect using respective Recency index creates ordered set to entity ranking and selects entity from the ordered set in order, pre- until having selected The entity of fixed number amount.Therefore, if there is too many candidate record, then entity is sorted, and it is pre- based on sequence filling If the vacancy of quantity（slot）.

In order to execute query template, search engine is also arranged in is added to query template by entity.As noted above , entity is added to query template and is changed in the additional entities being added, the type of typed values etc. in advance being presented System action.In this way, the previous selection of user further reduces and enhances given search.

In an example, query template is executed on a continuous basis to occur.That is, when collecting every from user When new information, search engine generates the result that will be shown in results area 110.In this way, user is by please be to a kind of Interaction guiding search, and its can be met in result and desired whenever stopped.In an example, it is looked into execute Template is ask, search engine will execute initial search to generate intermediate result based on the element of query template.

Realize that system described above 125 solves some technical problems related with complex search tool.First, user Complicated search is utilized without remembering for a long time or training bearing.Secondly, for being related to workflow selection and questionnaire survey Complicated interface does not abandon traditional user interface.On the contrary, used graceful search box, key in advance overload so as to Workflow is allowed to select, and its content proper transformation for having inputted is to indicate previous selection.Therefore, user is not The benefit of complex work flow engine is obtained in the case of search interface known to must leaving.

It is extended about facet, query interface control left side after search result is shown in search-results region 110 is enclosed Column 115.Although this is a kind of typical configuration, it is not required.Query interface is arranged in including search result Presentation user's interface element in the facet selected section that search result is shown.Herein, user interface element is arranged to receiving The user of facet inputs.One example at the interface provides in Fig. 8 below.User interface element can be taken by pellet The form for adding selection immediately below facet indicating, having been selected.User interface element can also include by such as "+" The key entry in advance of element activation is text filed.

Query interface is arranged to receive to be inputted for the certain customers of facet.This starts defeated typically via wherein user The key entry in advance for entering desired facet is realized.In an example, certain customers input can pass through the instant of facet part Addition receives.For example, replace the complete facet of offer to be added to the set of the facet of selection immediately, it is described to add immediately It may include the part facet for matching several current entities to add.

Filter is arranged to the peer-entities of acquisition entity corresponding with facet（For example, it is by User Part or complete Full selection）.In an example, peer-entities is selected based on the search routine for generating search result.Search routine is that orientation is searched Rope so that the guiding search for example started with position title is different from ideal candidate by example search or keyword Search.Search routine can suggest which attribute between entity is measured for the degree of approach.For example, when search ideal candidate When, it can emphasize attribute corresponding with people, be not necessarily work title.Similarly, position is searched for, it can be relative to for example It is supplied to the company of job orientation position to emphasize the qualification of position.

In an example, filter is arranged to the selection peer-entities of the entity class based on entity.Entity class or The type of classification presentation-entity rather than its value for including.Thus, for example, vehicle registration may include that there are one " the systems of value for tool Make " entity, it is different from " manufacture " entity of another vehicle registration.As noted above, entity itself can have super Cross one attribute.Therefore, work title can also use field etc. including credentials set, geography.As noted above Go out, compares the selection for the facet that these attributes are finally generated as the suggestion to user between entities.

In an example, user interface element is corresponding to entity class.Herein, the facet of single entity type passes through Query interface is shown together in facet selected section.This is illustrated in fig. 8.In an example, peer-entities is by filtering Entity type of the device based on entity is selected.Therefore, if being in the by the entity of the part facet input identification of user One type, then peer-group is limited to the entity class.

In an example, peer-entities has the entity type different from the entity.This across type suggestion is opposite Powerful enhancing is provided in additional facet system.Facet suggestion is limited to what user was already engaged in that is, surpassing Type, such as the title that works, user are prompted for facet to be added to different types, such as place.Although additional search is not It is required, but search of the effect just as performing extension, because user may be in the absence of other ways by the first type Facet selection is connected to the suggestion from second species.For example, it is assumed that user expects that filling has the position of given work title. As a result facet present in indicates the interested previous employer of user, for example, because other employee works of the employer obtain very It is good.Filter obtains company corresponding with facet facet mark and entity.The entity includes the religion of the candidate employed Educate mechanism set.By these attributes compared with educational institution, and identify the set to these institutional bodies rankings.It can will be pre- Fixed number amount（Such as one to five）These mechanisms be presented to the user.User can select the mechanism, and even if there be no that It is more from the said firm for the candidate that employs, also terminated with the facet filter for being likely to good candidate.

In an example, peer-entities is one in the multiple peer-entities presented in suggestion element.That is, As noted above, it is proposed that one suggestion that may include to user be more than.In an example, the multiple equity is real Body sorts in suggesting element.In an example, this is sequentially based on the degree of approach measurement between entity and peer-entities.Cause This, the compatibility between the entity having been selected and suggestion is bigger, then these are suggested in suggesting element may more having and protrude Or arbitrary expression.In an example, this is sequentially changed based on the reciprocity facet previously selected.Therefore, work as user When expressing a series of inquiries, the facet selected recently illustrates the thinking of user.Therefore, degree of approach sequence is not absolute, and It is to be changed based on nearest selection.

In an example, in order to obtain peer-entities, filter is arranged to：Based on entity attributes searching entities, And the degree of approach scoring between entity.In an example, in order to score the degree of approach, it is real that filter is arranged to measurement It is overlapping between body and the attribute of peer-entities.In an example, when deviation between entity and the first peer-entities bigger When, compare the second peer-entities, equal overlapping between entity and the first peer-entities from entity closer to.That is, Between three entities, when equivalent between the first and second entities（Such as it is equal, synonymous etc. in certain threshold value）Attribute number When amount is quantitatively more than number of attributes equivalent between first and third entity, the connecing between third compared to first Recency, the first two are closer.

In an example, filter is also arranged in the deviation measured between entity and the attribute of peer-entities.This is partially Difference measurements provide the ranking mechanism of suggestion perhaps unlikely entity.For example, if between three entities, two entities It is substantially the same, because they have all equivalent attribute, then facet of the addition for second instance does not improve search Very much, because result should be substantially identical as the result of first instance.However, people will not be desired to have it is completely irrelevant The entity of attribute is effective, because the entity is more likely to find the note that the hope expressed in being selected previous with user is opposite Record.Therefore, proximity threshold is given --- that is, as determined by the predicable of number of thresholds, the reality in peer-group Body is at least sufficiently close to each other --- and those of expression adeditive attribute different from the entity having been selected entity can give user Bring maximum value.Therefore, once meeting common threshold properties, can increase in the case of remaining attribute difference Degree of approach index.

Filter is arranged to based on selecting peer-entities with the degree of approach of entity.Therefore, filter searches picture has led to Cross such as described search or the partial or complete facet that is previously entered specified by entity as entity.Calculate these equities Entity will have that good degree of approach score --- high score is in some feelings to having been received degree of approach score input by user It may be good under condition, and low point may be good in other cases；High or low final choice be a design alternative simultaneously And it is not too important to current system 125 --- peer-entities subset be grouped and be delivered to query interface.

Query interface is arranged in response to receiving certain customers' input and suggestion element in facet selected section The reciprocity facet of middle presentation.Herein, suggestion discussed above is supplied to user.User can select a suggestion and into one Step manipulates search result, provides the search executor more powerful than current system.

It is refined about search result, grader is arranged to acquisition（Such as it retrieves or receives）It search result and is searched Rope context.Search context includes the element specific to search, such as executes the user of search, executes and search for targeted group It knits, search work flow etc..These elements may be related to result, but from the details of search rather than the category of search result Property export.

Grader is arranged to the search that will be added to dependent on the facet set of context in these search results As a result.The addition may include the record of the modification search result, but in most cases, it is related to recording specific search knot Being associated between fruit and the facet in the context of the search result returned.In an example, which includes inquiry The facet calculated in batch processing.In an example, context includes the mark of entity.In an example, it depends on upper The facet in facet set hereafter is the result in search result and contacts relationship between entity（affiliation）.It should Contact relationship can be arbitrary measurable interaction between entity and search result.Thus, for example if vehicle registration 135 wraps " manufacture " attribute is included, and the vehicle manufacture is generated by entity, then there are contact pass between entity and vehicle registration 135 System.Measure when, the contact relationship may be added to record dependent on context facet set and use the entity It is indexed.

In an example, search result identifies a people.Herein, contact relationship is activity of the people about the entity Record.In an example, which includes the people's selection in social media platform（Such as it services）In follow the entity. In an example, which includes that the people searches for the entity.In an example, the activation record include the people with The connection between another person at the entity.In an example, the connection only when under the guidance of the people in social media It is just considered when being established on platform.This determines to follow, subscribe to the entity or otherwise send out with the entity in such as the people It is common when raw apparent contact relationship.In an example, activation record includes the previous job application in the entity.

In an example, context includes executing to generate search result（Such as user）Search user.Herein, It is the action taken about the result in user's past dependent on the facet in the facet set of context.In the reality of recruiter In example, such action may include such as communicated with candidate, recommend to employ the candidate, the candidate is saved as it is potential Employer either even check the brief introduction of the candidate up to significant period or significant number etc thing.These The conspicuousness of last index can for example by by user usually or it is especially current using flower in specific brief introduction when The area of a room relatively measures compared with the general statistical distribution of observing time.Specific when brief introduction checked on time or frequency More than threshold value（Such as higher than mean value, intermediate value, or higher than mean value one or more standard deviation, etc.）When, it is believed that it is aobvious It writes.

In an example, context includes being provided previously as query argument to generate the entity duty of search result Position.Herein, it is on-job time index dependent on the facet in the facet set of context.In an example, when this is on-job Between index be result in a group statistics characterization.In an example, which is entire search result.In an example In, which is segment identification.These classification provide the view for example to candidate's stability.Therefore, previous It is new that the average value of the time of position or other statistical measures people below might mean that the candidate is less likely to stay in Position.This can also recommend a candidate, because they are more possibly off current employer.By comparing the candidate about The activity of position and other candidates under similar situation（As by causing the search parameter of search result to dominate）, can have There is the additional opinion of the appropriateness of one candidate of processing.

Subscriber interface module is arranged to the user interface that the facet set dependent on context is presented together with display search As a result.Subscriber interface module can in search-results region 110, side rail 115 traditional facet interface and top enclose Search result is shown in user interface in column 105.The example of user interface is illustrated in Fig. 3 to Fig. 5 B.In an example, For each facet in the facet set dependent on context, the user interface of the facet set dependent on context includes using In the counting for the search result that the label and facet of the facet are applied to.

In an example, user interface shows the member of the facet set dependent on context in linear element. In one example, the member of the facet set dependent on context is shown with the sequence initially established by the value of each facet. In an example, which is the counting of search result.In an example, subscriber interface module is arranged to the suitable of facet Sequence resequences for the facet to be placed in the end of linear element.

Subscriber interface module is arranged to the facet received in the facet set from the user for dependent on context Selection, and filter shown search result, the filtering include the search result for the measurement result for meeting the facet and Exclude remaining search result.

Facet dependent on search context enhances current the making usually from the derived facet of search result record itself With.Since different search missions may benefit from different search sensitivity facets, thus system 125 has provided a user more preferably Experience, cause more effectively to search for.

Fig. 2 illustrates the functional component of the social networking service 200 according to one embodiment.Social networking service can be used Carry out trustship or realizes the system described in Fig. 1 above.Front-end module may include subscriber interface module（Such as web services Device）220, the request from each client computing device is received, and response appropriate is sent to the visitor for sending out request Family end equipment.For example,（It is multiple）Subscriber interface module 220 can receive hypertext transfer protocol（HTTP）Request or other bases In the Application Programming Interface of network（API）Request（Such as the dedicated social network service from operation on a client device is answered With）The request of form.It is furthermore possible to also provide user's interaction detects user with detection module 220（Such as member）With difference Using, service and present content various interactions.As soon as detecting specific interaction, user's interaction and detection module 220 should Interaction, including interactive type and any metadata related with interaction, are recorded in member activity and behavior database 270.

May include one or more different application server modules 230 using logical layer, the module combines（It is more It is a）Subscriber interface module 210 generates each graphical user circle using the data retrieved from each different data sources in data Layer Face（Such as webpage）.For some embodiments, application server module 230 is used for realizing and social networks as discussed above The each application provided is provided and/or services associated function.

In an example, may include query interface 240, multiplexer 241 and search engine 242 using logical layer.Such as Discussed in Fig. 1, these components promote the auxiliary establishing of search inquiry.In an example, may include using logical layer Query interface 240 and filter 243.As discussed in figure 1, these components promote facet extension.In an example, it applies Logical layer can also include subscriber interface module 244 and grader 245.As discussed in figure 1, these components promote search knot Fruit refines.

Data Layer may include several databases, such as the database for storing profile data, the profile data packet It includes membership profile data and is used for different tissues（Such as company, school etc.）Profile data.It is consistent with some embodiments , when people's first registers become the member of social networking service, the people will be prompted to provide some personal information, example Such as his or her name, age（Such as the date of birth）, gender, interest, contact details, local, address, member spouse and/or The name of kinsfolk, education background（Such as school, profession, admission and/or date of graduation etc.）, employment history, technical ability, specially Industry tissue etc..The information is for example stored in database 250.Similarly, when the representative of tissue is initially to social networking service When registering the tissue, the representative can be prompted to provide certain information about the tissue.The information can for example be stored in data Library 250 or another database（It is not shown）In.It, can be with for some embodiments（Such as on backstage or offline）Processing Profile data is to generate different derived profile datas.For example, if a member provides about the member same The different operating title and serve as information how long that company or different company serve as, then the information can be used for infer or Person's export shows the overall qualifications and record of service level of the member or the membership profile attribute of the qualifications and record of service level in specific company.For one A little embodiments, from the data source of one or more hosted outsides import or otherwise access data can enhance member and Organize the profile data of the two.For example, for especially for company, financial data can be from one or more external data sources It imports, and as a part for company introduction.

Stored in the social graph of social graph database 260 and maintain description such as member establish and other Member or with the various associations of the connection of other entities and object etc and the information of relationship.Furthermore as member and via society When various applications, service and content that network service is made available by being handed over to interact, the interaction and behavior of member can be tracked（Such as it looks into The link of the content, selection seen or button, the message etc. responded）, and can about the activity of member and the information of behavior For example to be recorded or be stored by member activity and behavior database 270.

For some embodiments, social networking service 200 is to Application Programming Interface（API）Module provides subscriber interface module 210, application and service can be via module accesses social networking service offer or the various data safeguarded and service.Example Such as, using API, recommend using that can ask and/or receive one or more navigation.Such application can be based on it is clear It lookes at the application of device, or operating system can be specific for.Particularly, some applications can be with Mobile operating system One or more mobile devices（Such as phone or tablet computing device）It is upper to be resident and execute（At least partly）.In addition, Although can be developed and safeguarded by the entity of operation social networking service using the application of API or service in many cases Application and service be supplied to public affairs under special arrangement without anything prevention API but other than data-privacy problem Many or certain third parties, so that navigation recommends that third-party application and service can be used.

Fig. 3-6 illustrates the example of the user interface element for auxiliary establishing search inquiry according to one embodiment. Fig. 3 illustrates the search textview field 305 in top barrier shown in Fig. 1.Herein, user has input the portion of " DEV " form Divide search.Element currently candidate result of the display for " DEV " just together with process selecting is keyed in advance.For example, process selecting " passing through the title search that works " 310 shows with candidate result " developer " 312 and " software engineer " together first." software Engineer " selects to indicate the entity degree of approach based on entity attribute, such as represents the geographical compatibility of the term of identical work.

Process selecting 315 is a kind of flow by example search, the wherein brief introduction of personnel（Such as previous candidate） For providing query argument.In the shown example, the candidate result 317 for being used for " DEVON SMART " can also include such as The investigation element 319 of link, button or other controls etc so that user can audit the result to determine it and search Correlation.

Process selecting 320 is another flow by example search, wherein previous work position is used for providing inquiry Parameter.Again, candidate result 324 includes investigation element 324 so that user can audit the example of suggestion.

As noted above, from the interface it is found that when user selects candidate result user's positive selection which flow.Cause This, when user for example selects " DEVON SMART ", user is it is also known that his positive selection " it was found that more people, such as " flow 315.Fig. 2 Illustrate such result selected.It should be pointed out that selection " DEVON SMART " is transformed into textview field 405 including deleting （“X”）The pellet 407 of element.Due to selection, " it was found that more people, such as " flow 410, keys in only show needle now in advance To the candidate result of the flow.User has input additional text " ROBE ", is prompted again specific to stream using investigation element 414 The key entry suggestion in advance of journey, such as suggests 412.The workflow allows the entry or several examples to record as search The raw material of parameter.

Fig. 5 illustrates user's selection of position flow.Herein, the previous selection of " developer " position is in textview field It is expressed as pellet 505.The flow includes the secondary inquiry in the place about the position.Prompt in textview field changes, and Prompt 510 is write after the cursor in textview field.Typically, prompt 510 be in subdued colour, such as white on grey and It is not that text in white is normally black, to further discriminate between the property of prompt 510 to user.Candidate locations result 515 exists Based on query template up to the present（Such as selected " developer "）Key entry in advance in show.These results can be with Including counting 520, user is allowed to understand how addition place can influence search result.Fig. 6 is illustrated selected place after Position flow.Again, previous selection is expressed as pellet 505 and 605.Then, user is prompted 610 addition technical ability. Now, it includes technical ability result 615 to key in advance.

Any time during input process selecting and user select, user can for example be searched using amplification icon calling Rope.Therefore, the intuitive of user is guided to also still allow for the target that the searchers of experience seems to meet searchers in search result When immediately exit from the flow.

Fig. 7 illustrates the example of the method 700 for auxiliary establishing search inquiry according to one embodiment.Method 700 Operation executed by hardware as described above and below.

At operation 705, in graphic user interface（GUI）Upper presentation tA entry field.

At operation 710, in response to receiving user's input at tA entry field, contiguously presented with tA entry field Procedure selector.In an example, procedure selector includes the process selecting set based on user input selection.In a reality In example, process selecting includes the mark of flow and the mark of sample result.

At operation 715, user's selection of process selecting is received.In an example, user's selection includes selecting flow Select the selection of the second result of middle presentation.

At operation 720, select that subsequent step flow element is presented in response to user.

At operation 725, it is corresponding to process selecting to fill to collect user's inquiry selection from subsequent step flow element Query template.In an example, process selecting is at least one of position, personnel or post.In an example, User, which is collected, from subsequent step flow element inquires selection including the use of the graphic element in textview field instead of the use from textview field Family inputs, and cursor is moved on to after the graphic element in textview field.

At operation 730, query template is executed to generate search result.In an example, query template packet is executed It includes the element based on query template and executes initial search to generate intermediate result.

It also includes extracting entity from not being seen in the result of query template in intermediate result to execute query template.At one In example, extraction entity includes by the degree of approach index from the entity in query template to entity ranking.In an example, Statistics position of the degree of approach index based on entity in group.In an example, the degree of approach index used depends on entity Entity type.In an example, entity type is company, and degree of approach index accesses company's object based on searchers Frequency.In an example, entity type is company, and degree of approach index is based on competing between the tissue representated by entity It strives.In an example, entity type is title, and searchers session of the degree of approach index based on title occurs.At one In example, entity type is description, and degree of approach index is the distance derived from semantic analysis.

It includes selecting entity based on degree of approach index to execute query template also.In an example, it is based on degree of approach index Selection entity selects entity when being included in degree of approach index more than threshold value.

In an example, it includes using respective degree of approach index to entity ranking to be based on degree of approach index selection entity To create ordered set and to select entity, the entity until having selected predetermined quantity from the ordered set in order.

It also includes that entity is added to query template to execute query template.

Fig. 8 illustrates the example of the user interface for facet extension according to one embodiment.It top barrier 805 and searches Usually the element of similar name is corresponding to what is discussed in Fig. 1 above for rope results area 810.The side rail packet that general illustration goes out Include the facet region 815,820,825,830,835 and 840 of entity class grouping.Pellet 845 illustrates the needle having been selected To the facet of " project manager ".User interface element 850 is can to show the instance elements for keying in element in advance.Member is keyed in advance Element includes textual entry and the suggestion lists of the variation based on the data partly inputted in textual entry.Instant Adding Area 855 show herein for each type.

As noted above, facet selection element can take the form of instant Adding Area 855.Therefore, work as addition Facet or when keying in facet into keying in advance, addition selection immediately will change.

Fig. 9 illustrates the example compared for the entity of facet extension according to one embodiment.If multiple entities include Dry attribute, different entities value, but the same category（Such as " work title "）.Hatched arrows between entity indicate equivalent that A little attributes, shadow-free arrow indicate different（Inequivalence）Attribute.As noted above, when meeting threshold similarity（ Here, two attributes）And when having dissimilar, it can improve（Such as increase）Degree of approach index.Therefore, in the example of diagram In, not only " software engineer " can be used as facet suggestion to provide, but also " USA New York " place can be carried as place facet For.

Figure 10 illustrates the example of the method 1000 for facet extension according to one embodiment.The operation of method 1000 Computer hardware using following article about such as processor, memory or circuit system etc described in Figure 15 executes.

At operation 1005, the presentation user interface in the facet selected section that the search result including search result is shown Element.Herein, user interface element is arranged to the user's input for receiving facet.

At operation 1010, inputted for facet receiving portion user.

At operation 1015, the peer-entities of entity corresponding with facet is obtained.In an example, it is based on generating search As a result search routine selects peer-entities.

In an example, the entity class based on entity selects peer-entities.In an example, user interface element It is corresponding to entity class.Herein, the facet of single entity type is shown together in facet selected section.In an example In, entity type of the peer-entities based on entity is selected.In an example, peer-entities has different from the entity Entity type.

In an example, peer-entities is one in the multiple peer-entities presented in suggestion element.In a reality In example, the multiple peer-entities sorts in suggesting element.In an example, this be sequentially based on entity and peer-entities it Between the degree of approach measurement.In an example, this is sequentially changed based on the reciprocity facet previously selected.

In an example, obtaining peer-entities includes：Based on entity attributes searching entities, and between entity The degree of approach scores.In an example, include overlapping between measurement entity and the attribute of peer-entities to degree of approach scoring. In one example, when deviation bigger between entity and the first peer-entities, the second peer-entities, entity and first pair are compared Equal overlapping between equal entities from entity closer to.In an example, to the degree of approach scoring also include measure entity with it is right Deviation between equal entity attributes, and based on selecting peer-entities with the degree of approach of entity.

At operation 1020, it is in suggestion element in facet selected section in response to receiving certain customers' input Existing equity facet.

Figure 11-13B illustrate the example of the user interface element for search result refinement according to one embodiment.Figure 11 illustrate the interface 1100 presented in search is applied, and wherein search result is under the facet set 1110 dependent on context It is shown in the region 1105 in face.Figure 11 illustrates a limited linear region, wherein being shown using access elements 1115 are overflowed Facet so as to allow user extension dependent on context facet set.What is illustrated also has pictorial symbolization 1120, indicates and works as The preceding facet which has been selected depend on context.In an example, a point dependent on context can only once be selected Face.

Figure 12 illustrates the result that access elements 1115 are overflowed in activation.Menu 1205 is presented, wherein radio button type Selection element 1210 is used for selecting corresponding facet.In the example that one wherein can select multiple facets, check box champion Element can replace the radio button for selecting element 1210.

Figure 13 A and Figure 13 B illustrate rearrangement of the selection facet later dependent on the facet of search context.Specifically Give facet natural ordering, the record number in the search result that such as facet covers in figure 13a in ground.Initially in third position It sets（First position is summarised fruit indicator herein rather than facet occupies）Select " with company at pleasure " facet 1305.It is doing Go out after selection, in Figure 13 B, rearrange the linear ordering of facet so that the facet 1305 of selection occupies position more outstanding It sets, moves on to leftmost facet position herein.

Figure 14 illustrates the example of the method 1400 for search result refinement according to one embodiment.Method 1400 The computer hardware that following article is operated with about such as processor, memory or circuit system etc described in Figure 15 is held Row.

At operation 1405, search result is obtained.

At operation 1410, search context is obtained（Such as context）.

At operation 1415, the search that will be added to dependent on the facet set of context in these search results is tied Fruit.In an example, context includes the mark of entity.In an example, it depends in the facet set of context Facet is the result in search result and contacts relationship between entity.

In an example, search result identifies a people.Herein, contact relationship is activity of the people about the entity Record.In an example, which includes that the people's selection follows the entity in social media platform.In an example In, which includes that the people searches for the entity.In an example, the activation record include the people at the entity Connection between another person.In an example, this is connected under the guidance of the people and is established on social media platform.One In a example, activation record includes the previous job application in the entity.

In an example, context includes the user for executing the search for generating search result.Herein, it depends on up and down Facet in the facet set of text is the action taken about the result in user's past.

In an example, context includes being provided previously as query argument to generate the entity duty of search result Position.Herein, it is on-job time index dependent on the facet in the facet set of context.In an example, when this is on-job Between index be result in a group statistics characterization.In an example, which is entire search result.In an example In, which is segment identification.

At operation 1420, the user interface of the facet set dependent on context is presented together with display search result. In one example, for each facet in the facet set dependent on context, the use of the facet set dependent on context Family interface includes the counting for the search result being applied to for the label and facet of the facet.

In an example, user interface shows the member of the facet set dependent on context in linear element. In one example, the member of the facet set dependent on context is shown with the sequence initially established by the value of each facet. In an example, which is the counting of search result.In an example, method 1400 is optionally extended to including suitable to this Sequence resequences for the facet to be placed in the end of linear element.

At operation 1425, the selection for the facet in the facet set dependent on context is received from user.

At operation 1430, shown search result is filtered.In an example, which includes meeting the facet The search result of measurement result and exclude remaining search result.

Figure 15 illustrates any one or more of technology that can be executed and be discussed herein on it（Such as method）Example The block diagram of machine 1500.In alternative embodiments, machine 1500 can be used as independent equipment operation or can connect （Such as it networks）To other machines.In networked deployment, machine 1500 with server machine, client machine or can take Capability operation under business device-client network environment both.In an example, machine 1500 can be point-to-point（P2P）（Or other are distributed）Peer machines are served as under network environment.Machine 1500 can be personal computer（PC）, tablet PC, machine Top box（STB）, personal digital assistant（PDA）, mobile phone, web utensils, network router, interchanger or bridge or energy Enough execute instruction（Sequentially or otherwise）Any machine, described instruction provides the action taken by the machine.This Outside, although illustrating only a single machine, term " machine " should also be as being understood to include any collection of machines, these machines Device individually or jointly executes single（Or it is multiple）Instruction set to execute any one or more of method being discussed herein, Such as cloud computing, software service（SaaS）, other computers clusters configuration.

If example as described herein may include logic circuit either dry part or mechanism or can be by its behaviour Make.Circuit system is to include hardware（Such as ball bearing made, gate circuit, logic circuit etc.）What tangible entity inside was realized Circuit set.Circuit system membership qualification becomes flexible such as passage and the potential hardware changeability of time.Circuit System includes that can execute the defined member operated either alone or in combination in operation.In an example, circuit system The hardware of system can immutably be designed to carry out specific operation（Such as hardwire）.In an example, the hardware of circuit system It may include the physical unit changeably connected（Such as execution unit, transistor, ball bearing made etc.）, including physically change （Such as magnetically, with electrical way, the removable placement, etc. of constant aggregated particle）So as to the instruction to specific operation The computer-readable medium of coding.When connecting physical unit, the basic electrical characteristic of hardware composition for example changes from insulator For conductor, or vice versa.In operation, described instruction makes embedded hardware（Such as execution unit or load maintainer） The member that circuit system can be created with hardware via variable connection, to execute the part of specific operation.Therefore, when equipment exists When operation, computer-readable medium is communicatively coupled to the other component of circuit system.In an example, any physical department Part can be used in the member that the circuit system more than one is more than one.For example, at runtime, execution unit can be One time point is used in the first circuit of the first circuit system, and in different times by second in the first circuit system Tertiary circuit in circuit or second circuit system is reused.

Machine（Such as computer system）1500 may include hardware processor 1502（Such as central processing unit（CPU）、 Graphics processing unit（GPU）, hardware processor core or its arbitrary combine）, main memory 1504 and static memory 1506, In some or all can be via interconnection（Such as bus）1508 communicate with one another.Machine 1500 may further include display unit 1510, Alphanumeric Entry Device 1512（Such as keyboard）And user interface（UI）Navigation equipment 1514（Such as mouse）.One In a example, display unit 1510, input equipment 1512 and UI navigation equipments 1514 can be touch-screen displays.Machine 1500 Can include additionally storage device（Such as driving unit）1516, signal generates equipment 1518（Such as loud speaker）, network connects Jaws equipment 1520 and one or more sensors 1521, such as global positioning system（GPS）Sensor, compass, accelerometer or Person's other sensors.Machine 1500 may include o controller 1528, such as serially（Such as universal serial bus（USB））、 Parallel or other are wired or wireless（Such as it is infrared（IR）, near-field communication（NFC）Etc.）It connects to communicate or control one A or multiple peripheral hardwares（Such as printer, card reader etc.）.

Storage device 1516 may include machine readable media 1522, and it is described herein any that embodiment is stored on the medium One or more technologies or function or 1524 set of one or more data structures or instruction utilized by it（Such as software）. Instruction 1524 can also be resided in fully or at least partially in main memory 1504 during it is executed by machine 1500, is quiet In state memory 1506 or in hardware processor 1502.In an example, hardware processor 1502, main memory 1504, Either one in storage device 1516 or its arbitrary combination may be constructed machine readable media to static memory 1506.

Although machine readable media 1522 is illustrated as single medium, term " machine readable media " may include by It is configured to store the single medium of one or more of instructions 1524 or multiple media（Such as centralized or distributed data Library and/or associated caching and server）.

Term " machine readable media " may include any such medium, can store, encodes or carry for machine What device 1500 executed instructs and machine 1500 is made to execute any one or more of the technology of the disclosure, or can deposit Storage, coding, which are either carried, to be used by such instruction or instructs associated data structure with such.Non-limiting machine can It may include solid-state memory and optics and magnetic medium to read media case.In an example, assemble（massed）Machine Readable medium includes constant with having（Such as it is static）The machine readable media of multiple particles of quality.Therefore, assemble machine Readable medium can be temporary transmitting signal.Aggregation machine readable media specific example may include：Non-volatile memories Device, such as semiconductor memory devices（Such as electrically programmable read-only memory（EPROM）, the read-only storage of electrically erasable Device（EEPROM））And flash memory device；Disk, such as internal hard drive and removable disk；Magneto-optic disk；And CD-ROM and DVD-ROM Disk.

Instruction 1524 can further utilize several transport protocols（Such as frame relay, Internet protocol（IP）, transmission control Agreement（TCP）, User Datagram Protocol（UDP）, hypertext transfer protocol（HTTP）Etc.）Any one of connect via network Jaws equipment 1520 is sent or is received by communication network 1526 using transmission medium.Instance communications network among other can be with Including LAN（LAN）, wide area network（WAN）, packet data network（Such as internet）, mobile telephone network（Such as Cellular Networks Network）, ordinary old style telephone（POTS）Network and radio data network（Such as it is known as the institute of electrical and electronic engineers of Wi-Fi （IEEE）802.11 series standards, 802.16 series standards of IEEE for being known as WiMAX）, IEEE 802.15.4 series standards, It is point-to-point（P2P）Network.In an example, network interface device 1520 may include one or more physical receptacles（Such as Ethernet, coaxial or telephone jack）Or it is connected to one or more antennas of communication network 1526.In an example, Network interface device 1520 may include using single input and multi-output（SIMO）, multiple-input and multiple-output（MIMO）Or multi input list Output（MISO）The mutiple antennas that at least one of technology carries out wireless communication.Term " transmission medium " should be understood as packet Any intangible medium of the instruction executed for machine 1500 can be stored, encodes or carry by including, and include number or simulation Signal of communication or other intangible mediums for promoting the such software of transmission.Transmission medium is an implementation of machine readable media Example.

Additional annotations and example

Example 1 is a kind of system for auxiliary establishing search inquiry, which includes：Processor；And depositing including instruction Reservoir, these instructions are when executed by the processor so that processor：In graphic user interface（GUI）Upper presentation tA entry field； Procedure selector, the procedure selector is presented adjacent to tA entry field in response to receiving user's input at tA entry field It include the process selecting set based on user input selection；Receive user's selection of process selecting；It is selected in response to user and is in Existing subsequent step flow element；It is corresponding with process selecting to fill that user's inquiry selection is collected from subsequent step flow element Query template；And the query template is executed to generate search result.

In example 2, the theme of example 1 optionally includes：Wherein process selecting includes the mark and sample result of flow Mark.

In example 3, the theme of any one or more in example 1-2 optionally includes：Wherein execute query template packet It includes：Element based on query template executes initial search to generate intermediate result；It is not seen in inquiry mould from intermediate result Entity is extracted in the result of plate；And entity is added to query template.

In example 4, the theme of example 3 optionally includes：Wherein extracting entity includes：According to from the reality in query template The degree of approach index of body is to entity ranking；And entity is selected based on degree of approach index.

In example 5, the theme of example 4 optionally includes：Wherein it is included in based on degree of approach index selection entity close Degree index selects entity when being more than threshold value.

In example 6, the theme of any one or more in example 4-5 optionally includes：Wherein it is based on degree of approach index Selection entity include：Ordered set is created to entity ranking using respective degree of approach index；And have in order from this Ordered sets selects entity, the entity until having selected predetermined quantity.

In example 7, the theme of any one or more optionally includes in example 4-6：The degree of approach wherein used refers to Entity type of the mark depending on entity.

In example 8, the theme of example 7 optionally includes：Wherein entity type is company, and wherein degree of approach index The frequency of company's object is accessed based on searchers.

In example 9, the theme of any one or more in example 7-8 optionally includes：Wherein entity type is company, And wherein degree of approach index is based on the competition between the tissue representated by entity.

In example 10, the theme of any one or more in example 7-9 optionally includes：Wherein entity type is head Rank, and wherein searchers session of the degree of approach index based on title occurs.

In example 11, the theme of any one or more in example 7-10 optionally includes：Wherein entity type is to retouch It states, and wherein degree of approach index is the distance derived from semantic analysis.

In example 12, the theme of any one or more in example 4-11 optionally includes：Wherein degree of approach index base In statistics position of the entity in group.

In example 13, the theme of any one or more in example 1-12 optionally includes：Wherein from subsequent step stream Cheng Yuansu collects user's inquiry selection：The user at textview field is replaced to input using the graphic element in textview field；And Cursor is moved on to after the graphic element in textview field.

In example 14, the theme of any one or more in example 1-13 optionally includes：Wherein process selecting is duty At least one of position, personnel or post.

In example 15, the theme of any one or more in example 2-14 optionally includes：Wherein user selection include Selection to the second result presented in process selecting.

Example 16 is a kind of method for auxiliary establishing search inquiry, and this method includes：In graphic user interface（GUI） Upper presentation tA entry field；Flow choosing is presented adjacent to tA entry field in response to receiving user's input at tA entry field Device is selected, which includes the process selecting set based on user input selection；Receive user's selection of process selecting；It rings It should be selected in user and subsequent step flow element is presented；User's inquiry selection is collected from subsequent step flow element to fill Query template corresponding with process selecting；And the query template is executed to generate search result.

In example 17, the theme of example 16 optionally includes：Wherein process selecting includes the mark and example knot of flow The mark of fruit.

In example 18, the theme of any one or more in example 16-17 optionally includes：Wherein execute query template Including：Element based on query template executes initial search to generate intermediate result；It is not seen in inquiry from intermediate result Entity is extracted in the result of template；And entity is added to query template.

In example 19, the theme of example 18 optionally includes：Wherein extracting entity includes：According to from query template The degree of approach index of entity is to entity ranking；And entity is selected based on degree of approach index.

In example 20, the theme of example 19 optionally includes：Wherein it is included in based on degree of approach index selection entity and is connect Recency index selects entity when being more than threshold value.

In example 21, the theme of any one or more in example 19-20 optionally includes：Wherein referred to based on the degree of approach Marking selection entity includes：Ordered set is created to entity ranking using respective degree of approach index；And in order from this Ordered set selects entity, the entity until having selected predetermined quantity.

In example 22, the theme of any one or more in example 19-21 optionally includes：The degree of approach wherein used Index depends on the entity type of entity.

In example 23, the theme of example 22 optionally includes：Wherein entity type is company, and wherein the degree of approach refers to Mark the frequency that company's object is accessed based on searchers.

In example 24, the theme of any one or more in example 22-23 optionally includes：Wherein entity type is public Department, and wherein degree of approach index is based on the competition between the tissue representated by entity.

In example 25, the theme of any one or more in example 22-24 optionally includes：Wherein entity type is head Rank, and wherein searchers session of the degree of approach index based on title occurs.

In example 26, the theme of any one or more in example 22-25 optionally includes：Wherein entity type is to retouch It states, and wherein degree of approach index is the distance derived from semantic analysis.

In example 27, the theme of any one or more in example 19-26 optionally includes：Wherein degree of approach index base In statistics position of the entity in group.

In example 28, the theme of any one or more in example 16-27 optionally includes：Wherein from subsequent step stream Cheng Yuansu collects user's inquiry selection：The user at textview field is replaced to input using the graphic element in textview field；And Cursor is moved on to after the graphic element in textview field.

In example 29, the theme of any one or more in example 16-28 optionally includes：Wherein process selecting is duty At least one of position, personnel or post.

In example 30, the theme of any one or more in example 17-29 optionally includes：Wherein user selection include Selection to the second result presented in process selecting.

Example 31 is a kind of machine readable media, including instruction, these instructions make machine execute when being executed by machine Operation, these operations include：In graphic user interface（GUI）Upper presentation tA entry field；In response to being connect at tA entry field It receives user's input and procedure selector is presented adjacent to tA entry field, which includes based on user input selection Process selecting set；Receive user's selection of process selecting；It is selected in response to user and subsequent step flow element is presented；From rear Continuous steps flow chart element collects user and inquires selection to fill query template corresponding with process selecting；And execute the inquiry Template is to generate search result.

In example 32, the theme of example 31 optionally includes：Wherein process selecting includes the mark and example knot of flow The mark of fruit.

In example 33, the theme of any one or more in example 31-32 optionally includes：Wherein execute query template Including：Element based on query template executes initial search to generate intermediate result；It is not seen in inquiry from intermediate result Entity is extracted in the result of template；And entity is added to query template.

In example 34, the theme of example 33 optionally includes：Wherein extracting entity includes：According to from query template The degree of approach index of entity is to entity ranking；And entity is selected based on degree of approach index.

In example 35, the theme of example 34 optionally includes：Wherein it is included in based on degree of approach index selection entity and is connect Recency index selects entity when being more than threshold value.

In example 36, the theme of any one or more in example 34-35 optionally includes：Wherein referred to based on the degree of approach Marking selection entity includes：Ordered set is created to entity ranking using respective degree of approach index；And in order from this Ordered set selects entity, the entity until having selected predetermined quantity.

In example 37, the theme of any one or more in example 34-36 optionally includes：The degree of approach wherein used Index depends on the entity type of entity.

In example 38, the theme of example 37 optionally includes：Wherein entity type is company, and wherein the degree of approach refers to Mark the frequency that company's object is accessed based on searchers.

In example 39, the theme of any one or more in example 37-38 optionally includes：Wherein entity type is public Department, and wherein degree of approach index is based on the competition between the tissue representated by entity.

In example 40, the theme of any one or more in example 37-39 optionally includes：Wherein entity type is head Rank, and wherein searchers session of the degree of approach index based on title occurs.

In example 41, the theme of any one or more in example 37-40 optionally includes：Wherein entity type is to retouch It states, and wherein degree of approach index is the distance derived from semantic analysis.

In example 42, the theme of any one or more in example 34-41 optionally includes：Wherein degree of approach index base In statistics position of the entity in group.

In example 43, the theme of any one or more in example 31-42 optionally includes：Wherein from subsequent step stream Cheng Yuansu collects user's inquiry selection：The user at textview field is replaced to input using the graphic element in textview field；And Cursor is moved on to after the graphic element in textview field.

In example 44, the theme of any one or more in example 31-43 optionally includes：Wherein process selecting is duty At least one of position, personnel or post.

In example 45, the theme of any one or more in example 32-44 optionally includes：Wherein user selection include Selection to the second result presented in process selecting.

Example 46 is a kind of method, including：Context menu is presented when user inputs search inquiry, the context menu Search routine option including the part for being initialized as inquiry input by user；In response to search routine option user selection and The part of the inquiry, the graphic element is replaced to summarize the part of the inquiry of input using graphic element；Using for Input area of the prompt modification of the additional queries project determined by the search routine option selected for search inquiry；And make Part with the inquiry and the complete search inquiry of the additional queries project implementation, the complete search inquiry tissue by with The search routine option definition of family selection.

In example 47, the theme of example 46 optionally includes：Wherein search routine option is by the title search that works.

In example 48, the theme of any one or more in example 46-47 optionally includes：Wherein search routine option It is by candidate's example search.

In example 49, the theme of any one or more in example 46-48 optionally includes：Wherein search routine option It is by work position example search.

In example 50, the theme of any one or more in example 46-49 optionally includes：Wherein graphic element is tool There is the pellet of the text of the part for the inquiry for summarizing input.

In example 51, the theme of example 50 optionally includes：Wherein text input area receives search inquiry, and its Middle pellet is placed in text input area.

Example 52 is a kind of system, including：Context menu is presented when user inputs search inquiry in query interface, The context menu includes the search routine option for the part for being initialized as inquiry input by user；Multiplexer, in response to searching The user of Suo Liucheng options selects and utilizes graphic element instead of the part of the inquiry, which summarizes the institute of input State the part of inquiry；Wherein query interface is utilized for the prompt of the additional queries project determined by the search routine option selected Input area of the modification for search inquiry；And query engine is held using the part and the additional queries project of the inquiry The complete search inquiry of row, the complete search inquiry tissue search routine option definition selected by user.

In example 53, the theme of example 52 optionally includes：Wherein search routine option is by the title search that works.

In example 54, the theme of any one or more in example 52-53 optionally includes：Wherein search routine option It is by candidate's example search.

In example 55, the theme of any one or more in example 52-54 optionally includes：Wherein search routine option It is by work position example search.

In example 56, the theme of any one or more in example 52-55 optionally includes：Wherein graphic element is tool There is the pellet of the text of the part for the inquiry for summarizing input.

In example 57, the theme of example 56 optionally includes：Wherein pellet is placed in input area.

Example 58 is a kind of system for facet extension, which includes：Processor；And memory comprising refer to It enables, these instructions are when executed by the processor so that processor：In the facet selection that the search result including search result is shown Presentation user's interface element on part, the user interface element are arranged to the user's input for receiving facet；It receives and is used for facet Certain customers input；Obtain the peer-entities of entity corresponding with facet；Dividing in response to receiving certain customers' input Reciprocity facet is presented in suggestion element in the selected section of face.

In example 59, the theme of example 58 optionally includes：Wherein based on the search routine selection for generating search result Peer-entities.

In example 60, the theme of any one or more in example 58-59 optionally includes：The wherein reality based on entity Body type selects peer-entities.

In example 61, the theme of example 60 optionally includes：Wherein user interface element is corresponding to entity class, individually The facet of entity class is shown together in facet selected section.

In example 62, the theme of any one or more in example 60-61 optionally includes：The wherein reality based on entity Body type selects peer-entities.

In example 63, the theme of example 62 optionally includes：Wherein peer-entities has the reality different from the entity Body type.

In example 64, the theme of any one or more in example 58-63 optionally includes：Wherein peer-entities is to build One in the multiple peer-entities presented in view element.

In example 65, the theme of example 64 optionally includes：Wherein the multiple peer-entities is arranged in suggesting element Sequence.

In example 66, the theme of example 65 optionally includes：Wherein this is sequentially based between entity and peer-entities The degree of approach is measured.

In example 67, the theme of example 66 optionally includes：Wherein this sequentially based on the reciprocity facet previously selected and Change.

In example 68, the theme of any one or more in example 58-67 optionally includes：Wherein obtain peer-entities Including：Processor：Based on entity attributes searching entities；Degree of approach scoring between entity；And based on being connect with entity Recency selects peer-entities.

In example 69, the theme of example 68 optionally includes：Wherein include to degree of approach scoring：Processor：It measures real It is overlapping between body and the attribute of peer-entities；And measure the deviation between entity and the attribute of peer-entities.

In example 70, the theme of example 69 optionally includes：Wherein when deviation is between entity and the first peer-entities When bigger, compare the second peer-entities, equal overlapping between entity and the first peer-entities from entity closer to.

Example 71 is a kind of method for facet extension, and this method includes：It is aobvious in the search result including search result Presentation user's interface element in the facet selected section shown, the user interface element are arranged to the user's input for receiving facet； It receives and is inputted for the certain customers of facet；Obtain the peer-entities of entity corresponding with facet；It is used in response to receiving part Family inputs and reciprocity facet is presented in the suggestion element in facet selected section.

In example 72, the theme of example 71 optionally includes：Wherein based on the search routine selection for generating search result Peer-entities.

In example 73, the theme of any one or more in example 71-72 optionally includes：The wherein reality based on entity Body type selects peer-entities.

In example 74, the theme of example 73 optionally includes：Wherein user interface element is corresponding to entity class, individually The facet of entity class is shown together in facet selected section.

In example 75, the theme of any one or more in example 73-74 optionally includes：The wherein reality based on entity Body type selects peer-entities.

In example 76, the theme of example 75 optionally includes：Wherein peer-entities has the reality different from the entity Body type.

In example 77, the theme of any one or more in example 71-76 optionally includes：Wherein peer-entities is to build One in the multiple peer-entities presented in view element.

In example 78, the theme of example 77 optionally includes：Wherein the multiple peer-entities is arranged in suggesting element Sequence.

In example 79, the theme of example 78 optionally includes：Wherein this is sequentially based between entity and peer-entities The degree of approach is measured.

In example 80, the theme of example 79 optionally includes：Wherein this sequentially based on the reciprocity facet previously selected and Change.

In example 81, the theme of any one or more in example 71-80 optionally includes：Wherein obtain peer-entities Including：Based on entity attributes searching entities；Degree of approach scoring between entity；And based on the selection of the degree of approach of entity Peer-entities.

In example 82, the theme of example 81 optionally includes：Include wherein measuring entity and equity to degree of approach scoring Overlapping between entity attributes；And the deviation between measurement entity and the attribute of peer-entities.

In example 83, the theme of example 82 optionally includes：Wherein when deviation is between entity and the first peer-entities When bigger, compare the second peer-entities, equal overlapping between entity and the first peer-entities from entity closer to.

Example 84 is a kind of non-transitory machine readable media, including instruction, these instructions make when being executed by machine Machine：Presentation user's interface element in the facet selected section that the search result including search result is shown, the user interface Element is arranged to the user's input for receiving facet；It receives and is inputted for the certain customers of facet；It obtains corresponding with facet real The peer-entities of body；It is presented to decile in suggestion element in facet selected section in response to receiving certain customers' input Face.

In example 85, the theme of example 84 optionally includes：Wherein based on the search routine selection for generating search result Peer-entities.

In example 86, the theme of any one or more in example 84-85 optionally includes：The wherein reality based on entity Body type selects peer-entities.

In example 87, the theme of example 86 optionally includes：Wherein user interface element is corresponding to entity class, individually The facet of entity class is shown together in facet selected section.

In example 88, the theme of any one or more in example 86-87 optionally includes：The wherein reality based on entity Body type selects peer-entities.

In example 89, the theme of example 88 optionally includes：Wherein peer-entities has the reality different from the entity Body type.

In example 90, the theme of any one or more in example 84-89 optionally includes：Wherein peer-entities is to build One in the multiple peer-entities presented in view element.

In example 91, the theme of example 90 optionally includes：Wherein the multiple peer-entities is arranged in suggesting element Sequence.

In example 92, the theme of example 91 optionally includes：Wherein this is sequentially based between entity and peer-entities The degree of approach is measured.

In example 93, the theme of example 92 optionally includes：Wherein this sequentially based on the reciprocity facet previously selected and Change.

In example 94, the theme of any one or more in example 84-93 optionally includes：Wherein obtain peer-entities Including：The machine：Based on entity attributes searching entities；Degree of approach scoring between entity；And based on entity The degree of approach selects peer-entities.

In example 95, the theme of example 94 optionally includes：Wherein include to degree of approach scoring：The machine：It measures It is overlapping between entity and the attribute of peer-entities；And measure the deviation between entity and the attribute of peer-entities.

In example 96, the theme of example 95 optionally includes：Wherein when deviation is between entity and the first peer-entities When bigger, compare the second peer-entities, equal overlapping between entity and the first peer-entities from entity closer to.

Example 97 is a kind of method, including：Search result is presented on the region of display；Filtering is placed over the display Region（filter area）, which includes multiple facets of search result, and the graphic element for each facet includes The graphic element for indicating the facet and the recommendation for adding facet；Receive user's input of modification facet；And based on modification Facet adjust search result.

In example 98, the theme of example 97 optionally includes：Facet wherein in filtration zone is divided according to classification Group.

In example 99, the theme of example 98 optionally includes：Wherein it is limited to individual facets for adding the recommendation of facet Classification.

In example 100, the theme of any one or more in example 97-99 optionally includes：Wherein change facet packet It includes following at least one：Remove facet, the value for changing facet or addition facet.

In example 101, the theme of any one or more in example 97-100 optionally includes：Wherein adjust search knot Fruit includes the search result for removing the facet for mismatching addition.

In example 102, the theme of any one or more in example 97-101 optionally includes：Wherein adjust search knot Fruit includes that the facet operation second based on modification is searched for generate new search result.

Example 103 is a kind of system, including：Subscriber interface module,：Search result is presented on the region of display； Filtration zone is placed over the display, which includes multiple facets of search result, is used for the pattern primitive of each facet Element includes the graphic element for indicating the facet and the recommendation for adding facet；And filtering module,：Receive modification facet User inputs；And the facet based on modification adjusts search result.

In example 104, the theme of example 103 optionally includes：Facet wherein in filtration zone is carried out according to classification Grouping.

In instance 105, the theme of example 104 optionally includes：Wherein it is limited to divide individually for adding the recommendation of facet The classification in face.

In example 106, the theme of any one or more in example 103-105 optionally includes：Wherein change facet Including following at least one：Remove facet, the value for changing facet or addition facet.

In example 107, the theme of any one or more in example 103-106 optionally includes：Wherein adjust search As a result include the search result that filtering module removes the facet for mismatching addition.

In example 108, the theme of any one or more in example 103-107 optionally includes：Wherein adjust search As a result include that facet operation second of the query engine based on modification is searched for generate new search result.

Example 109 is a kind of system for search result refinement, which includes：Processor；And memory, packet Instruction is included, these instructions are when executed by the processor so that processor：Obtain search result；Obtain search context；It will rely on It is added to a search result in these search results in the facet set of context；The facet collection dependent on context is presented The user interface of conjunction is together with display search result；The choosing for the facet in the facet set dependent on context is received from user It selects；And shown search result is filtered, which includes the search result for the measurement result for meeting the facet and exclusion Remaining search result.

In example 110, the theme of example 109 optionally includes：Wherein in the facet set dependent on context Each facet, the user interface of the facet set dependent on context includes being applied for the label and facet of the facet In search result counting.

In example 111, the theme of example 110 optionally includes：Wherein user interface shows dependence in linear element In the member of the facet set of context.

In example 112, the theme of example 111 optionally includes：Wherein depend on the member of the facet set of context It is shown with the sequence initially established by the value of each facet.

In example 113, the theme of example 112 optionally includes：Wherein the value is the counting of search result.

In example 114, the theme of any one or more in example 112-113 optionally includes：Wherein described instruction Further such that processor resequences to the sequence facet is placed in the end of linear element.

In example 115, the theme of any one or more in example 109-114 optionally includes：Wherein context packet Include the mark of entity.

In example 116, the theme of example 115 optionally includes：Wherein depend on point in the facet set of context Face is the result in search result and contacts relationship between entity.

In example 117, the theme of example 116 optionally includes：Wherein search result identifies a people, and wherein joins Be relationship it is activation record of the people about the entity.

In example 118, the theme of example 117 optionally includes：Wherein the activation record includes the people's selection in social activity The entity is followed in media platform.

In example 119, the theme of any one or more in example 117-118 optionally includes：Wherein the activity is remembered Record includes that the people searches for the entity.

In example 120, the theme of any one or more in example 117-119 optionally includes：Wherein the activity is remembered Record includes the people and the connection between another person at the entity, this is connected under the guidance of the people in social media platform Upper foundation.

In example 121, the theme of any one or more in example 117-120 optionally includes：Wherein the activity is remembered Record includes previously in the job application of the entity.

In example 122, the theme of any one or more in example 109-121 optionally includes：Wherein context packet The user for executing the search for generating search result is included, and it is user's mistake wherein to depend on the facet in the facet set of context Go the action taken about the result.

In example 123, the theme of any one or more in example 109-122 optionally includes：Wherein context packet It includes and is provided previously as query argument to generate the entity position of search result, and wherein depend on the facet collection of context Facet in conjunction is on-job time index.

In example 124, the theme of example 123 optionally includes：Wherein the on-job time index is the knot in a group The statistics of fruit characterizes.

In example 125, the theme of example 124 optionally includes：Wherein the group is entire search result.

In example 126, the theme of any one or more in example 124-125 optionally includes：The wherein on-job time Index is segment identification.

Example 127 is a kind of method for search result refinement, and this method includes：Obtain search result；It is searched for Context；The search result that will be added to dependent on the facet set of context in these search results；Presentation depends on The user interface of the facet set of context is together with display search result；It is received from user for the facet collection dependent on context The selection of facet in conjunction；And search result that filtering is shown, the filtering include meeting the measurement result of the facet to search Hitch fruit and exclude remaining search result.

In example 128, the theme of example 127 optionally includes：Wherein in the facet set dependent on context Each facet, the user interface of the facet set dependent on context includes being applied for the label and facet of the facet In search result counting.

In example 129, the theme of example 128 optionally includes：Wherein user interface shows dependence in linear element In the member of the facet set of context.

In example 130, the theme of example 129 optionally includes：Wherein depend on the member of the facet set of context It is shown with the sequence initially established by the value of each facet.

In example 131, the theme of example 130 optionally includes：Wherein the value is the counting of search result.

In example 132, the theme of any one or more in example 130-131 optionally includes：To the sequence weight The facet to be placed in the end of linear element by new sort.

In example 133, the theme of any one or more in example 127-132 optionally includes：Wherein context packet Include the mark of entity.

In example 134, the theme of example 133 optionally includes：Wherein depend on point in the facet set of context Face is the result in search result and contacts relationship between entity.

In example 135, the theme of example 134 optionally includes：Wherein search result identifies a people, and wherein joins Be relationship it is activation record of the people about the entity.

In example 136, the theme of example 135 optionally includes：Wherein the activation record includes the people's selection in social activity The entity is followed in media platform.

In example 137, the theme of any one or more in example 135-136 optionally includes：Wherein the activity is remembered Record includes that the people searches for the entity.

In example 138, the theme of any one or more in example 135-137 optionally includes：Wherein the activity is remembered Record includes the people and the connection between another person at the entity, this is connected under the guidance of the people in social media platform Upper foundation.

In example 139, the theme of any one or more in example 135-138 optionally includes：Wherein the activity is remembered Record includes previously in the job application of the entity.

In example 140, the theme of any one or more in example 127-139 optionally includes：Wherein context packet The user for executing the search for generating search result is included, and it is user's mistake wherein to depend on the facet in the facet set of context Go the action taken about the result.

In example 141, the theme of any one or more in example 127-140 optionally includes：Wherein context packet It includes and is provided previously as query argument to generate the entity position of search result, and wherein depend on the facet collection of context Facet in conjunction is on-job time index.

In example 142, the theme of example 141 optionally includes：Wherein the on-job time index is the knot in a group The statistics of fruit characterizes.

In example 143, the theme of example 142 optionally includes：Wherein the group is entire search result.

In example 144, the theme of any one or more in example 142-143 optionally includes：The wherein on-job time Index is segment identification.

Example 145 is a kind of machine readable media, including instruction, these instructions make the machine when being executed by machine： Obtain search result；Obtain search context；One in these search results will be added to dependent on the facet set of context A search result；The user interface of the facet set dependent on context is presented together with display search result；From user's reception pair The selection of facet in the facet set dependent on context；And shown search result is filtered, which includes full Foot the facet measurement result search result and exclude remaining search result.

In example 146, the theme of example 145 optionally includes：Wherein in the facet set dependent on context Each facet, the user interface of the facet set dependent on context includes being applied for the label and facet of the facet In search result counting.

In example 147, the theme of example 146 optionally includes：Wherein user interface shows dependence in linear element In the member of the facet set of context.

In example 148, the theme of example 147 optionally includes：Wherein depend on the member of the facet set of context It is shown with the sequence initially established by the value of each facet.

In example 149, the theme of example 148 optionally includes：Wherein the value is the counting of search result.

In example 150, the theme of any one or more in example 148-149 optionally includes：Wherein described instruction Further such that processor resequences to the sequence facet is placed in the end of linear element.

In example 151, the theme of any one or more in example 145-150 optionally includes：Wherein context packet Include the mark of entity.

In example 152, the theme of example 151 optionally includes：Wherein depend on point in the facet set of context Face is the result in search result and contacts relationship between entity.

In example 153, the theme of example 152 optionally includes：Wherein search result identifies a people, and wherein joins Be relationship it is activation record of the people about the entity.

In example 154, the theme of example 153 optionally includes：Wherein the activation record includes the people's selection in social activity The entity is followed in media platform.

In example 155, the theme of any one or more in example 153-154 optionally includes：Wherein the activity is remembered Record includes that the people searches for the entity.

In example 156, the theme of any one or more in example 153-155 optionally includes：Wherein the activity is remembered Record includes the people and the connection between another person at the entity, this is connected under the guidance of the people in social media platform Upper foundation.

In example 157, the theme of any one or more in example 153-156 optionally includes：Wherein the activity is remembered Record includes previously in the job application of the entity.

In example 158, the theme of any one or more in example 145-157 optionally includes：Wherein context packet The user for executing the search for generating search result is included, and it is user's mistake wherein to depend on the facet in the facet set of context Go the action taken about the result.

In example 159, the theme of any one or more in example 145-158 optionally includes：Wherein context packet It includes and is provided previously as query argument to generate the entity position of search result, and wherein depend on the facet collection of context Facet in conjunction is on-job time index.

In example 160, the theme of example 159 optionally includes：Wherein the on-job time index is the knot in a group The statistics of fruit characterizes.

In example 161, the theme of example 160 optionally includes：Wherein the group is entire search result.

In example 162, the theme of any one or more in example 160-161 optionally includes：The wherein on-job time Index is segment identification.

Example 163 is a kind of method, including：To search result entity classification；By the subset and search result of these classifications It presents together in the display；Receive user's input of selection classification；And select filtered search result in response to classification.

In example 164, the theme of example 163 optionally includes：Wherein to the subset sort of the classification.

In example 165, the theme of example 164 optionally includes：The sequence of the wherein described classification is by the search that identifies Validity determines.

In example 166, the theme of any one or more in example 163-165 optionally includes：Wherein search result Entity indicates such people, these people are job candidates.

In example 167, the theme of example 166 optionally includes：The wherein described classification includes following at least one：Connection To targeted company, follow targeted company, be the past applicant of targeted company, have previously with the interaction of recruiter, or It is operated in company similar with targeted company.

In example 168, the theme of any one or more in example 163-167 optionally includes：Wherein classification selects Once it is limited to single classification.

Example 169 is a kind of system, including：Grader, to search result entity classification；And user interface,：It will The subset of these classifications is presented in the display together with search result；Receive user's input of selection classification；And in response to Classification selects filtered search result.

In example 170, the theme of example 169 optionally includes：Wherein to the subset sort of the classification.

In example 171, the theme of example 170 optionally includes：The sequence of the wherein described classification is by the search that identifies Validity determines.

In example 172, the theme of any one or more in example 169-171 optionally includes：Wherein search result Entity indicates such people, these people are job candidates.

In example 173, the theme of example 172 optionally includes：The wherein described classification includes following at least one：Connection To targeted company, follow targeted company, be the past applicant of targeted company, have previously with the interaction of recruiter, or It is operated in company similar with targeted company.

In example 174, the theme of any one or more in example 169-173 optionally includes：Wherein classification selects Once it is limited to single classification.

Specific implementation mode above includes the reference to attached drawing, these attached drawings form a part for specific implementation mode. Attached drawing shows the specific embodiment that can implement by way of diagram.These embodiments are referred to herein as " example ".This The example of sample may include the element other than shown in those or description element.However, the present inventor also carefully examines The example for being wherein provided solely for those of shown or described element is considered.Moreover, being directed to particular instance（Or one or it is more A aspect）Or other examples for shown and described herein（Or in terms of one or more）, the present inventor is also careful Consider the arbitrary example combined or arrange using those of shown or described element（Or in terms of one or more）.

All publications, patent and the patent document referred in this document is all incorporated in herein by quoting, as logical Reference is crossed individually to merge.This document with those of is merged by reference usage between file it is inconsistent in the case of, merging 's（It is multiple）Usage in document should be considered as the supplement of this document usage；For irreconcilable inconsistency, herein Usage in part plays dominating role.

In this document, as common in patent document, term " one " is used for including one or more than one, Independently of "at least one" or any other example or usage of " one or more ".In this document, term "or" is used for Refer to nonexcludability or, so that " A or B " includes " A rather than B ", " B rather than A " and " A and B ", unless otherwise specified.Appended In claims, term " comprising " and " wherein " are used as corresponding to the plain English equivalent of term "comprising" and " wherein ". Furthermore in the following claims, term " comprising " and "comprising" are open, that is to say, that including claim The system of element other than the element listed after the term of middle system, equipment, product or process etc, equipment, product or Person's process is still considered to fall within the scope of the claims.Moreover, in the following claims, term " the One ", " second " and " third " etc. are solely for label, are not intended to and apply numerical requirements to its object.

What above description was intended to be illustrative, rather than it is restrictive.For example, examples described above（Or one A or many aspects）It can be in combination with one another.Other embodiments can looked back such as by those of ordinary skill in the art It is used when above description.Abstract will allow reader to quickly determine the nature of the disclosure of the art, and in the feelings of following understanding It is submitted under condition：It, which will not be used for explaining, either limits the scope of the claims or meaning.Furthermore in specific embodiment party above In formula, each feature can be grouped together to simplify the disclosure.This is not construed as the public affairs for meaning to be not claimed The feature opened all is essential for any claim.Exactly, subject matter can reside in specific disclosure Embodiment all or less than feature among.Therefore, claims below are hereby incorporated into specific implementation mode, each Claim all independence as individual embodiment.The range of these embodiments should be with reference to appended claims, together with this The full scope of the equivalent that the claim of sample is entitled to determines.

Claims

1. a kind of system for auxiliary establishing search inquiry, the system include：

Processor；And

Memory including instruction, instruction is when executed by the processor so that processor：

In graphic user interface（GUI）Upper presentation tA entry field；

Procedure selector, flow choosing is presented adjacent to tA entry field in response to receiving user's input at tA entry field It includes the process selecting set based on user input selection to select device；

Receive user's selection of process selecting；

It is selected in response to user and subsequent step flow element is presented；

User's inquiry selection is collected from subsequent step flow element to fill query template corresponding with process selecting；And

The query template is executed to generate search result.

2. the system of claim 1, wherein process selecting include the mark of flow and the mark of sample result.

3. the system of claims 1 or 2, wherein execution query template includes：

Element based on query template executes initial search to generate intermediate result；

Entity is extracted from not being seen in the result of query template in intermediate result；And

Entity is added to query template.

4. the system of claim 3, wherein extraction entity includes：

By the degree of approach index from the entity in query template to entity ranking；And

Entity is selected based on degree of approach index.

5. the system of front any claim, wherein including from the collection user's inquiry selection of subsequent step flow element：

The user at textview field is replaced to input using the graphic element in textview field；And

Cursor is moved on to after the graphic element in textview field.

6. the system of front any claim, wherein process selecting are at least one of position, personnel or post.

7. the selection of the system of claim 2, wherein user includes the selection to the second result presented in process selecting.

8. a kind of system for facet extension, the system include：

Processor；And

Memory comprising instruction, instruction is when executed by the processor so that processor：

Presentation user's interface element in the facet selected section that the search result including search result is shown, user interface member Element is arranged to the user's input for receiving facet；

It receives and is inputted for the certain customers of facet；

Obtain the peer-entities of entity corresponding with facet；

Reciprocity facet is presented in suggestion element in facet selected section in response to receiving certain customers' input.

9. the system of claim 8, wherein the entity class based on entity selects peer-entities.

10. the system of claim 8 or 9, wherein peer-entities are one in the multiple peer-entities presented in suggestion element.

11. the system of claim 10, wherein the multiple peer-entities sorts in suggesting element.

12. the system of claim 11, wherein this is sequentially based on the degree of approach measurement between entity and peer-entities.

13. the system of any one of claim 8-12, wherein acquisition peer-entities includes：Processor：

Based on entity attributes searching entities；

Degree of approach scoring between entity；And

Based on selecting peer-entities with the degree of approach of entity.

14. the system of claim 13, wherein including to degree of approach scoring：Processor：

It measures overlapping between entity and the attribute of peer-entities；And

Measure the deviation between entity and the attribute of peer-entities.

15. a kind of system for search result refinement, the system include：

Processor；And

Obtain search result；

Obtain search context；

The search result that will be added to dependent on the facet set of context in these search results；

The user interface of the facet set dependent on context is presented together with display search result；

The selection for the facet in the facet set dependent on context is received from user；And

The shown search result of filtering, the filtering include the search result for the measurement result for meeting the facet and exclude remaining Search result.

16. the system of claim 15, wherein for each facet in the facet set dependent on context, dependent on up and down The user interface of the facet set of text includes the counting for the search result being applied to for the label and facet of the facet.

17. the system of claim 16, wherein user interface show the facet set dependent on context in linear element Member.

18. the system of claim 17, wherein the member of the facet set dependent on context is initially to pass through each facet The sequence that value is established is shown.

19. the system of any one of claim 15-18, wherein context include the mark of entity.

20. the system of claim 19, wherein being the result in search result dependent on the facet in the facet set of context Relationship is contacted between entity.

21. the system of claim 20, wherein search result identify a people, and wherein contact relationship is the people about described The activation record of entity.

22. a kind of method for auxiliary establishing search inquiry, this method include：

In graphic user interface（GUI）Upper presentation tA entry field；

Receive user's selection of process selecting；

The query template is executed to generate search result.

23. the method for claim 22, wherein process selecting include the mark of flow and the mark of sample result.

24. the method for claim 22 or 23, wherein execution query template includes：

Entity is added to query template.

25. the method for claim 24, wherein extraction entity includes：

Entity is selected based on degree of approach index.

26. the method for any one of claim 22-25, wherein collecting user from subsequent step flow element inquires selection packet It includes：

Cursor is moved on to after the graphic element in textview field.

27. the method for any one of claim 22-26, wherein process selecting be in position, personnel or post at least One.

28. the selection of the method for any one of claim 22-27, wherein user includes the second knot to being presented in process selecting The selection of fruit.

29. a kind of method for facet extension, this method include：

It receives and is inputted for the certain customers of facet；

Obtain the peer-entities of entity corresponding with facet；

30. the method for claim 29, wherein the entity class based on entity selects peer-entities.

31. the method for claim 29 or 30, wherein peer-entities are one in the multiple peer-entities presented in suggestion element It is a.

32. the method for claim 31, wherein the multiple peer-entities sorts in suggesting element.

33. the method for claim 32, wherein this is sequentially based on the degree of approach measurement between entity and peer-entities.

34. the method for any one of claim 29-33, wherein acquisition peer-entities includes：

Based on entity attributes searching entities；

Degree of approach scoring between entity；And

Based on selecting peer-entities with the degree of approach of entity.

35. the method for claim 34, wherein including to degree of approach scoring：

It measures overlapping between entity and the attribute of peer-entities；And

Measure the deviation between entity and the attribute of peer-entities.

36. a kind of method for search result refinement, this method include：

Obtain search result；

Obtain search context；

The search result that will be added to dependent on the facet set of context in search result；

37. the method for claim 36, wherein for each facet in the facet set dependent on context, dependent on up and down The user interface of the facet set of text includes the counting for the search result being applied to for the label and facet of the facet.

38. the method for claim 37, wherein user interface show the facet set dependent on context in linear element Member.

39. the method for claim 38, wherein the member of the facet set dependent on context is initially to pass through each facet The sequence that value is established is shown.

40. the method for any one of claim 36-39, wherein context include the mark of entity.

41. the method for claim 40, wherein being the result in search result dependent on the facet in the facet set of context Relationship is contacted between entity.

42. the method for claim 41, wherein search result identify a people, and wherein contact relationship is the people about described The activation record of entity.

43. a kind of machine readable media, including instruction, instruction make that machine performing operations, operation include when being executed by machine：

In graphic user interface（GUI）Upper presentation tA entry field；

Receive user's selection of process selecting；

The query template is executed to generate search result.

44. the machine readable media of claim 43, wherein process selecting include the mark of flow and the mark of sample result.

45. the machine readable media of claim 43 or 44, wherein execution query template includes：

Entity is added to query template.

46. the machine readable media of claim 45, wherein extraction entity includes：

Entity is selected based on degree of approach index.

47. the machine readable media of any one of claim 43-46 is looked into wherein collecting user from subsequent step flow element Asking selection includes：

Cursor is moved on to after the graphic element in textview field.

48. the machine readable media of any one of claim 43-46, wherein process selecting are position, personnel or post At least one of.

49. the selection of the machine readable media of any one of claim 43-48, wherein user includes to being presented in process selecting The second result selection.

50. a kind of non-transitory machine readable media, including instruction, instruction make machine when being executed by machine：

It receives and is inputted for the certain customers of facet；

Obtain the peer-entities of entity corresponding with facet；

51. the machine readable media of claim 50, wherein the entity class based on entity selects peer-entities.

52. the machine readable media of claim 50 or 51, wherein peer-entities are the multiple equity realities presented in suggestion element One in body.

53. the machine readable media of claim 52, wherein the multiple peer-entities sorts in suggesting element.

54. the machine readable media of claim 53, wherein this is sequentially based on the degree of approach measurement between entity and peer-entities.

55. the machine readable media of any one of claim 50-54, wherein acquisition peer-entities includes：Machine：

Based on entity attributes searching entities；

Degree of approach scoring between entity；And

Based on selecting peer-entities with the degree of approach of entity.

56. the machine readable media of claim 55, wherein including to degree of approach scoring：Machine：

It measures overlapping between entity and the attribute of peer-entities；And

Measure the deviation between entity and the attribute of peer-entities.

57. a kind of machine readable media, including instruction, instruction make machine when being executed by machine：

Obtain search result；

Obtain search context；

58. the machine readable media of claim 57, wherein for each facet in the facet set dependent on context, according to It includes the search result being applied to for the label and facet of the facet to rely the user interface in the facet set of context Counting.

59. the machine readable media of claim 58, wherein user interface show point dependent on context in linear element The member of face set.

60. the machine readable media of claim 59, wherein the member of the facet set dependent on context is with initially by every The sequence that the value of a facet is established is shown.

61. the machine readable media of any one of claim 57-60, wherein context include the mark of entity.

62. the machine readable media of claim 61, wherein being search result dependent on the facet in the facet set of context In result and entity between contact relationship.

63. the machine readable media of claim 62, wherein search result identify a people, and wherein contact relationship is the people Activation record about the entity.