CN106776741A - A kind of searching method and device - Google Patents
A kind of searching method and device Download PDFInfo
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- CN106776741A CN106776741A CN201611027910.4A CN201611027910A CN106776741A CN 106776741 A CN106776741 A CN 106776741A CN 201611027910 A CN201611027910 A CN 201611027910A CN 106776741 A CN106776741 A CN 106776741A
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- destination object
- search results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
Abstract
A kind of searching method and device are the embodiment of the invention provides, described method includes：Receiving term and the term to receiving carries out pretreatment and determines keyword；Search Results are scanned for and determine to destination object according to the keyword, the Search Results include the destination object screened according at least one dimension weighted calculation；The Search Results are fed back, to show the Search Results.Such scheme can mention the accuracy of keyword and improve the efficiency of search by pretreatment, and the accuracy for further improving destination object is screened by various dimensions.
Description
Technical field
The present invention relates to search technique field, more particularly to a kind of searching method and a kind of searcher.
Background technology
With the popularization and the development of Internet technology of computer, the resource that network is provided is more and more, and user can be
The various information of needs, such as multimedia resource, software resource, news web page are searched in network.User can be with search
Input term, search engine is scanned for based on the term, will be searched for the Search Results for obtaining and is fed back to user, Yong Hucong
Required resource is found out in retrieval result.
But, the information content of universal search engine is larger, therefore can there are problems that inquiring about inaccurate, depth.Cause
This generates the information and phase that have certain values provided for a certain specific area, a certain specific crowd or a certain particular demands
Close the vertical search pattern of service.Vertical search uses vertical search engine, vertical search engine to be directed to some industry
Professional search engine, is the subdivision and extension of search engine, is that the information special to certain class in web page library is once integrated,
Orientation point field extract needs data processed after return to user with some form again.
But, the term inaccurate accuracy that can all influence Search Results when different industries are retrieved, such as in software row
In the vertical search of industry, function is usually just known that without knowing specific name, or be only input into some simple abbreviations just directly inspection
The problems such as rope, cause to be difficult to feed back accurate result, user is also difficult to obtain satisfied software.
The content of the invention
In view of the above problems, it is proposed that the present invention so as to provide one kind overcome above mentioned problem or at least in part solve on
State the searching method and corresponding searcher of problem.
According to one aspect of the present invention, there is provided a kind of searching method, including：Receive term and the retrieval to receiving
Word carries out pretreatment and determines keyword；Destination object is scanned for according to the keyword and determines Search Results, it is described to search
Hitch fruit includes the destination object screened according at least one dimension weighted calculation；The Search Results are fed back, to open up
Show the Search Results.
Optionally, wherein, the pretreatment includes following at least one：Filtered symbol treatment, correction process, at cutting
Reason, alias association treatment.
Optionally, wherein, the keyword include following at least one：Short word, function descriptor, the mixing of polymorphic type word
Word, alias association word.
Optionally, wherein, it is described that destination object is scanned for include according to the keyword：Entered according to the keyword
Line search, determines at least one destination object；Each destination object is weighted according at least one dimension, each is determined
The weighted score of destination object；Screened according to the weighted score of each destination object, generated corresponding Search Results.
Optionally, it is described to scan for including according to the keyword：Destination object is scanned for using keyword,
And/or, destination object is scanned for using the class label of the Keywords matching.
Optionally, it is described to be included using the Keywords matching class label：Determine destination object according to the keyword
Classification, according to the categorical match class label.
Optionally, it is described that each destination object is weighted according at least one dimension, determine each destination object
Weighted score include：For each destination object, dimension values and weight of the destination object in each dimension are determined；By each dimension
Angle value is weighted summation according to respective weights, determines the weighted score of each destination object.
Optionally, the dimension includes following at least one：Title dimension, keyword dimension, user's evaluative dimension, speed
Dimension, download dimension.
Optionally, also include：The destination object data source of third-party platform is obtained in advance, and the destination object data source is used
Data are provided in the search for destination object.
Optionally, also include：Data are carried out to each destination object correspondence associated data in the destination object data source clear
Wash；Result according to data cleansing determines dimension values of each destination object in each dimension.
Optionally, wherein, also include：The source-information of each destination object is added in the Search Results, wherein, it is described
Source-information includes：Our station resource and/or third party's resource.
According to another aspect of the present invention, there is provided a kind of searching method, including：The term of input is uploaded to clothes
Business device；The Search Results of the reception server feedback, wherein, the Search Results include being sieved according at least one dimension weighted calculation
The destination object of choosing；The Search Results are shown.
Optionally, it is described the Search Results are shown including：Each destination object is obtained from the Search Results
Source-information and weighted score, wherein, the source-information includes：Our station resource and/or third party's resource；According to described next
Source information and weighted score are shown to each destination object.
Optionally, wherein, also include：It is excellent when belonging to the weighted score of two destination objects of third party's resource and being identical
First show the dimension values of speed dimension destination object high.
Optionally, wherein, also include：When the destination object of user's triggering belongs to third party's resource, third party is jumped to
Website shows the destination object.
According to another aspect of the present invention, there is provided a kind of searcher, including：Receiver module, retrieves for receiving
Word；Pretreatment module, keyword is determined for carrying out pretreatment to the term for receiving；Search module, for according to the pass
Keyword is scanned for destination object and determines Search Results, and the Search Results are included according at least one dimension weighted calculation
The destination object of screening；Feedback module, for being fed back to the Search Results, to show the Search Results.
Optionally, the pretreatment includes following at least one：Filtered symbol treatment, correction process, cutting treatment, alias
Association process.
Optionally, the keyword includes following at least one：Short word, function descriptor, polymorphic type word blendword, not
Name conjunctive word.
Optionally, the search module, including：Object search submodule, for being scanned for according to the keyword, really
Fixed at least one destination object；Dimension weights submodule, based on each destination object is weighted according at least one dimension
Calculate, determine the weighted score of each destination object；Dimension screens submodule, is carried out for the weighted score according to each destination object
Screening, generates corresponding Search Results.
Optionally, the object search submodule, for being scanned for destination object using keyword, and/or, use
The class label of the Keywords matching is scanned for destination object.
Optionally, the object search submodule, the classification for determining destination object according to the keyword, according to institute
State categorical match class label.
Optionally, dimension weighting submodule, for for each destination object, determining the destination object in each dimension
Dimension values and weight；Each dimension values are weighted summation according to respective weights, the weighted score of each destination object is determined.
Optionally, the dimension includes following at least one：Title dimension, keyword dimension, user's evaluative dimension, speed
Dimension, download dimension.
Optionally, wherein, also include：Data acquisition module, the destination object data for obtaining third-party platform in advance
Source, the destination object data source is used to provide data for the search of destination object.
Optionally, wherein, also include：Data source processing module, for each target pair in the destination object data source
As correspondence associated data carries out data cleansing；Result according to data cleansing determines dimension values of each destination object in each dimension.
Optionally, the search module, is additionally operable to be added in the Search Results source-information of each destination object, its
In, the source-information includes：Our station resource and/or third party's resource.
According to another aspect of the present invention, there is provided a kind of searcher, including：Uploading module, for by be input into
Term is uploaded to server；As a result receiver module, for the Search Results of the reception server feedback, wherein, the search knot
Fruit includes the destination object screened according at least one dimension weighted calculation；Display module, for being carried out to the Search Results
Displaying.
Optionally, the display module, for obtaining the source-information of each destination object from the Search Results and adding
Power score value, wherein, the source-information includes：Our station resource and/or third party's resource；According to the source-information and weighting point
Value is shown to each destination object.
Optionally, the display module, is additionally operable to when the weighted score phase of two destination objects for belonging to third party's resource
Meanwhile, the preferential dimension values for showing speed dimension destination object high.
Optionally, wherein, also include：Jump module, when the destination object for being triggered as user belongs to third party's resource,
Jump to third party website and show the destination object.
Term can be received according to embodiments of the present invention and pre-process and obtain keyword, improve the accurate of keyword
Property, destination object is scanned for using keyword then, to improve recall precision；And weighted according at least one dimension and counted
The destination object that calculation screening search is obtained obtains Search Results, and the standard of retrieval result is improved by the screening of one or more dimensions
True property, so as to feed back to show the Search Results to the Search Results so that user can obtain required various
Destination object.
Described above is only the general introduction of technical solution of the present invention, in order to better understand technological means of the invention,
And can be practiced according to the content of specification, and in order to allow the above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by specific embodiment of the invention.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit is common for this area
Technical staff will be clear understanding.Accompanying drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole accompanying drawing, identical part is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 shows that a kind of searching method according to an embodiment of the invention is implemented flow the step of server side and shown
It is intended to；
Fig. 2 shows that a kind of searching method according to an embodiment of the invention is implemented flow the step of end side and illustrated
Figure；
Fig. 3 shows that a kind of searching method in accordance with another embodiment of the present invention implements flow the step of server side
Schematic diagram；
Fig. 4 shows that a kind of searching method in accordance with another embodiment of the present invention is implemented flow the step of end side and shown
It is intended to；
Fig. 5 shows a kind of structured flowchart of searcher according to an embodiment of the invention；
Fig. 6 shows a kind of structured flowchart of preferred searcher according to an embodiment of the invention；
Fig. 7 shows a kind of structured flowchart of searcher in accordance with another embodiment of the present invention；
Fig. 8 shows a kind of structured flowchart of preferred searcher in accordance with another embodiment of the present invention.
Specific embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in accompanying drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.Conversely, there is provided these embodiments are able to be best understood from the disclosure, and can be by the scope of the present disclosure
Complete conveys to those skilled in the art.
User can be retrieved using management software or website etc. to required various information in the terminal, the present embodiment
It is middle to need the content of retrieval as destination object, therefore destination object can be including software, multi-medium data, news etc..With
As a example by software, the management operation such as user can be downloaded to software using management software or website etc., be updated, it is also possible to retrieve
Required software.
Wherein, the search method of server side may include steps of：
Reference picture 1, shows that a kind of searching method according to an embodiment of the invention is implemented the step of server side
Schematic flow sheet.
Step 101, receiving term and the term to receiving carries out pretreatment and determines keyword.
When searched targets object is needed, the term needed for user can be input into is scanned for, and corresponding server can
Term is received with by software or website.
The ununified standard of the term of user input, may include various contents.By taking software retrieval as an example, some use
Family may be input into some software functions as term, be such as " data recovery " " video editing ", or to be input into some soft
Part is referred to as term such as " LOL " (heroic alliance), or the mixed index word such as " word 10 " such as input numeral, letter, word
Deng.And for example with audio retrieval, the lyrics that user may be input into the singer of performance name, audio associated television play name, song
Deng as term.Therefore for the ease of retrieval, can be pre-processed to determine keyword to receiving term, for example may be used
Corresponding keyword is obtained to clean term by the filtering to symbols such as space, commas, term can and for example be entered
Row cutting, to segmenting word screen and obtains keyword etc..
Step 102, scans for and determines Search Results, the Search Results bag according to the keyword to destination object
Include the destination object screened according at least one dimension weighted calculation.
Then scanned for using the keyword, search for the destination object with the Keywords matching, in order to accurately anti-
Destination object needed for feedback user, the present embodiment can also obtain the dimensional information of the destination object of each matching, for example can be with
Using the degree of correlation of title/title and term an as information for dimension, and for example using the evaluation information of user an as dimension
Information of degree etc., is weighted by one or more dimensions to the destination object of the matching, is weighted accordingly
Score value is screened, and will be screened the destination object for obtaining and is added in Search Results.
The Search Results are fed back by step 103, to show the Search Results.
Search Results are fed back into correspondence website or management software of term etc. are provided, it is then soft in the website or management
Show Search Results in part, the destination object needed for determining by Search Results in order to user.
The search method of end side may include steps of：
Reference picture 2, shows that a kind of searching method according to an embodiment of the invention is implemented to be flowed the step of end side
Journey schematic diagram.
Step 201, server is uploaded to by the term of input.
Step 202, the Search Results of the reception server feedback, wherein, the Search Results are included according at least one dimension
The destination object of degree weighted calculation screening.
The Search Results are shown by step 203.
User can be retrieved using management software or website etc. to required various information in the terminal, can searched
The positions such as rope frame are input into term, and management software or website can obtain the term of user input, the retrieval that then will be input into
Word is uploaded to server.
Server obtains Search Results, the search knot of the reception server feedback by steps such as pretreatment, search, screenings
Really, Search Results are shown in management software or website then, you can with the various destination objects matched with term.This
In embodiment, the information of one or more dimensions of destination object correspondence can also be shown when destination object is shown.So as to use
Family can choose required destination object in Search Results, such as after the result displaying of software retrieval, user is by click etc.
Mode triggers the software needed for downloading.
To sum up, term can be received and pre-process and obtain keyword, improve the accuracy of keyword, then used
Keyword is scanned for destination object, to improve recall precision；And screened according at least one dimension weighted calculation and searched for
The destination object for obtaining obtains Search Results, and the accuracy of retrieval result is improved by the screening of one or more dimensions, so that
The Search Results are fed back to show the Search Results so that user can obtain required various destination objects.
Reference picture 3, shows that a kind of searching method in accordance with another embodiment of the present invention implements the step in server side
Rapid schematic flow sheet, specifically may include steps of：
Step 301, receives term.
Step 302, the term to receiving carries out following at least one pretreatment and determines keyword：Filtered symbol treatment,
Correction process, cutting treatment, alias association treatment.
When being retrieved, server can receive the term of user, then term be cleaned, participle etc.
Pretreatment, it is determined that corresponding keyword, wherein, pretreatment includes following at least one：Filtered symbol treatment, correction process, cut
Office reason, alias association treatment.
Filtered symbol is processed for being filtered to the symbol in term, such as to space, comma, fullstop, pause mark, quotation marks
Etc. being filtered such that it is able to the information such as useless symbol are filtered out from term, the term after being filtered, Ke Yizhi
Connect as keyword, it is also possible to determine keyword with reference to other pretreatments.
Correction process is used to carry out term error correction, and user may be led when term is input into due to a variety of causes sometimes
Cause term is wrong, and such as misspelling causes that " word " has been combined into " wrod ", and for example misremembers or does not know writing for actual name
" player " is such as write as " player " by method, therefore each word, word, phrase etc. in term can be detected, it is determined that
Word, word, phrase of problem etc. are likely to occur, carrying out error correction to it obtains corresponding word, word, phrase of error correction etc..Wherein error correction side
Method has various, for example, word, word, phrase after error correction can be determined according to frequency for occurring etc..
Cutting is processed for carrying out word segmentation processing to term, can carry out cutting, example to term according to various rules
As carried out cutting according to filtered symbol treatment each symbol of correspondence, cut after and for example determining correspondence word, word according to term inquiry dictionary
Grade.To that can also be screened to each participle after retrieval word segmentation, keyword is determined.
Alias association is processed and matched for the associated name to term, you can to match whether term has it
His title, such as English name or english abbreviation matching Chinese, such as " LOL " can be defined as by alias association treatment
" heroic alliance ".
In the present embodiment, keyword can be determined using above-mentioned one or more pretreatment operation, for example, first pass through symbol
Filtration treatment, filters out some useless symbols, then term to filtering out symbol carries out cutting treatment, obtains each point
Word, can remove some insignificant words such as " ", adjective etc. from participle, then each participle is carried out correction process with
And alias association treatment, obtain corresponding keyword.
Keyword is obtained by above-mentioned pretreatment, the keyword includes following at least one：Short word, function descriptor,
Polymorphic type word blendword, alias association word.Short word includes the shorter keyword such as word, phrase, such as " word "；Function is described
Word includes the vocabulary being described to the function of destination object, such as keyword may be " video editing " in software field
" data recovery " etc.；Polymorphic type word blendword includes the keyword by mixing composition etc. word, letter, numeral, for example
" word2010 " " XX browsers " etc.；Alias association word includes the keyword that the corresponding alias of term is constituted, can be by alias
Association process is obtained, for example " LOL heroes alliance " " DOTA contentions between monster and beast " etc..
Step 303, scans for according to the keyword, determines at least one destination object.
The present embodiment can in advance obtain the destination object data source of third-party platform, and the destination object data source is for being
The search of destination object provides data.Scanned in server corresponding data source using keyword, wherein, the present embodiment is
It is easy to obtain more fully destination object, the retrieval source of destination object can include local data base, it is also possible to including the
The database of tripartite's platform.For example in software search, in addition to the software having in oneself server, acceptable and third party
Software download platform cooperation, data are retrieved in capturing the database of third party software download platform；And for example in video resource
During retrieval, in addition to the corresponding video data of server local, the video data that can also capture other video websites is carried out
Retrieval.So as to by local data base and the abundant data source of network other third-party platforms, facilitate the search for more comprehensively, it is accurate
True destination object, so as to obtain at least one destination object.
It is described to scan for including according to the keyword in an alternative embodiment of the invention：Using keyword to mesh
Mark object is scanned for, and/or, destination object is scanned for using the class label of the Keywords matching.Therefore this reality
Example is applied in search, directly destination object can be scanned for using keyword, you can divided with by keyword and each data source
Do not matched, determined the destination object matched in data source.The Keywords matching class label, specific bag can also be used
Include：The classification of destination object is determined according to the keyword, according to the categorical match class label.There is keyword to sentence first
The disconnected classification wanted belonging to searched targets object, for example going up function descriptor can determine functional category, due in matching alias
When can determine classification belonging to the alias, corresponding class label is determined according to the category, then according to class label pair
Destination object is scanned for.
In the present embodiment, accurately mate and fuzzy matching can be carried out when being scanned for destination object, i.e., accurate
Matching retrieval and maximally related one or more destination objects of keyword are most related to keyword except matching in fuzzy matching
Destination object outside, the destination object related to its classification etc. can also be matched, recommend more fully information to user.For example use
Family in addition to the installation package informatin for feeding back the Games Software, can also feed back and the game class in search " LOL heroes alliance "
The information such as the installation kit of type identical other Games Softwares.
Step 304, each destination object is weighted according at least one dimension, determines adding for each destination object
Power score value.
Step 305, is screened according to the weighted score of each destination object, generates corresponding Search Results.
After getting each destination object, the associated data of destination object, such as title description information, use can also be obtained
Family evaluation etc., each associated data is related to dimension, determine corresponding dimension values.Determine the weight of each dimension, then will be each
Destination object is weighted according to the dimension values and weight of at least one dimension, determines the weighting point of each destination object
Value.
It is described that each destination object is weighted according at least one dimension, determine the weighting point of each destination object
Value includes：For each destination object, dimension values and weight of the destination object in each dimension are determined；By each dimension values according to
Respective weights are weighted summation, determine the weighted score of each destination object.
The dimension includes following at least one：Title dimension, keyword dimension, user's evaluative dimension, speed dimension, under
Carrying capacity dimension.Title dimension refers to destination object correspondence title, the dimension of title, can be by the title and keyword or retrieval
Word is calculated, and determines the degree of correlation as dimension values.Keyword dimension refers to the keyword of destination object corresponding label, by this
Keyword and the keyword or term of retrieval are calculated, and determine the degree of correlation as dimension values.User's evaluative dimension can be obtained
Take the corresponding user of destination object to evaluate, using the evaluation of estimate of user's evaluation as dimension values.Speed dimension refers to target pair
The speed such as download, the unlatching of elephant, such as can be downloading rate for multi-medium data and software speed dimension, for news etc.
Info web speed dimension can open speed for webpage, and download dimension refers to the dimension of the click volume correlation of destination object
Degree, such as can be download for multi-medium data and software speed dimension, for info webs such as multi-medium data, news
Can be click volume, using download or click volume as dimension values.So as to when being screened according to dimension, for each target
Object, obtains the destination object in the dimension values and weight of each dimension, is then added each dimension values according to respective weights
Power summation, determines the weighted score of each destination object.
The present embodiment determines the dimension values of each dimension based on associated data, due to that may contain various noises in associated data
Deng, therefore data cleansing can be carried out to each destination object correspondence associated data in the destination object data source, including to dividing
Word, the filtering of meaningless word, normalized of numerical value etc., can perform at different cleanings for different associated datas
Reason.For example for title dimension, by the title of destination object, title etc., participle is carried out to it, the treatment such as meaningless word is filtered,
Obtain corresponding wash result.And for example for evaluation information can wash evaluation content obtain specific such as 5 stars of evaluation of estimate,
10 grade value, and the consistent scoring of the standard of obtaining is normalized to evaluation of estimate as wash result.Then can be according to
Dimension values of each destination object in each dimension are determined according to the result of data cleansing, with search such as after the heading message of acquisition cleaning
Keyword or term matching obtain the degree of correlation as dimension values, and the scoring for and for example obtaining normalized is used as dimension values
Deng.
So as to obtain the dimension values of destination object each dimension of correspondence by various modes, weighting point is obtained by weighted calculation
Value.Then the weighted score of each destination object can be screened, for example sequence takes each destination objects of preceding N from big to small, and
Destination object of the weighted score more than predetermined threshold value is such as obtained, the corresponding search knot of destination object generation obtained using screening
Really.And the weighted score of each destination object can be added in Search Results, is easy to user to screen.
By taking software download as an example, during extension hunting data source, software can be included using software open platform, and can be with
Set up with third party software download site and cooperated, crawl third party download package needs pure secure version, and for the pass of software
Connection input is such as whether charging, cracking etc. and can be indicated.When third party's data are accessed, line number can be entered to the software included
According to cleaning, arrange, and access the associated datas such as comment, scoring, download statistics.
And the keyword of user's search can be recorded, keyword can be carried out when according to Keywords matching without result
Expand, associate, the search need of digging user.For the various various softwares for searching, can be according to the title degree of association, key
The dimensions such as word association degree, average download speed, online friend's scoring, all downloads carry out overall weight calculation, and such as weight equation is：
Under the average download speed * 5%+ online friends scoring * 15%+ week of weighted value=title degree of association * 60%+ keyword degree of association * 10%+
Carrying capacity 10%.So as to be screened to software by various dimensions, the accuracy of retrieval is improved.
In the embodiment of the present invention, weighted value can also be adjusted according to user feedback, for example, be carried out for user interest
After propertyization displaying, its weight and weighted value are gradually weakened for the destination object that user does not click on, be easy to accurate feedback user
Required destination object.
Step 306, adds the source-information of each destination object in the Search Results.
In the present embodiment, local data can be based in search, it is also possible to searched according to the data of third-party platform
Rope, therefore the source-information of destination object can also be marked after destination object is searched, searched in screening destination object
After result, the source-information of each destination object can be added in Search Results, then the source-information includes：Our station resource
And/or third party's resource, our station resource is the destination object arrived according to server local data retrieval, and third party's resource is foundation
The destination object that the data retrieval of third-party platform is arrived.
The Search Results are fed back by step 307, to show the Search Results.
Search Results are fed back into correspondence website or management software of term etc. are provided, it is then soft in the website or management
Show Search Results in part, the destination object needed for determining by Search Results in order to user.
The search method of end side may include steps of：
Reference picture 4, shows that a kind of searching method in accordance with another embodiment of the present invention is implemented the step of end side
Schematic flow sheet, specifically may include steps of：
Step 401, server is uploaded to by the term of input.
Step 402, the Search Results of the reception server feedback.
User can be retrieved using management software or website etc. to required various information in the terminal, can searched
The positions such as rope frame are input into term, and management software or website can obtain the term of user input, the retrieval that then will be input into
Word is uploaded to server.Server is fed back the step of above-described embodiment after Search Results, and correspondence can be anti-with the reception server
The Search Results of feedback.
Step 403, obtains the source-information and weighted score of each destination object from the Search Results.
Step 404, is shown according to the source-information and weighted score to each destination object.
Can be shown after getting Search Results, the source-information of each destination object can be obtained from Search Results
And weighted score, when then showing each destination object in the result of page searching of management software or website, can in the lump show this
The source-information and weighted score of destination object.Needed for being further determined that based on source and dimension weighted value so as to user
Destination object.For example in the installation kit that software download displaying is searched, for the installation kit from third-party platform, can
To point out the installation kit from third party, our station cannot ensure the security of the software；And for example when multimedia is downloaded, pointing out should
Multimedia resource comes from internet, and dispute over copyright etc. is not related to.
Can show according to multiple priorities for destination object, such as the destination object of preferential displaying local resource, and
The destination object of third party's resource shows after local resource, and for example preferentially shows to weight for the destination object of same resource and divide
Value is high；And work as that source resource is identical, weighted score identical destination object can continue to be sorted exhibition according to other related informations
Show, such as according to speed height, according to scoring, height is low.In an alternative embodiment of the invention, when belonging to the two of third party's resource
When the weighted score of individual destination object is identical, the preferential dimension values for showing speed dimension destination object high.
Step 405, when belonging to local resource for the destination object that user triggers, the data for obtaining the destination object are carried out
Treatment.
Step 406, when the destination object of user's triggering belongs to third party's resource, jumps to third party website displaying described
Destination object.
For the destination object of separate sources, exhibition method can be with difference after the mode such as user's click is triggered.Wherein, for
The destination object of user's triggering is when belonging to local resource, can be processed with the data of the direct access destination object, for example, exist
The installation kit is directly downloaded during software download and is installed, the multimedia resource and for example downloaded during multimedia resource and is played, for
The webpages such as news can open corresponding webpage.
When the destination object of user's triggering belongs to third party's resource, jump to third party website and show the target pair
As.For example in software download, the corresponding webpage of the software in third party website can be jumped to, then foundation in the web page
User's further operation such as triggering, downloads the installation kit and installation etc.；And for example for multimedia resource, can be jumped to
The corresponding webpage of the multimedia resource in tripartite website, plays multimedia resource in the web page, or according to user in webpage
Operation download the multimedia resource.
To sum up, keyword is obtained by various pretreatment operations, so as to carry out retrieval according to keyword can effectively improve
Recall precision；Can be screened according to various dimensions for destination object, so as to improve the accuracy of destination object；Searched in displaying
Show the information such as source and the weighted value of each destination object during hitch fruit, the destination object needed for being easy to user to select, to use
Family provides personalized retrieval result；Different treatment operations are performed for the destination object of separate sources, is easy to user to inspection
The feedback of hitch fruit and check, improve Consumer's Experience.
For embodiment of the method, in order to be briefly described, therefore it is all expressed as a series of combination of actions, but this area
Technical staff should know that the embodiment of the present invention is not limited by described sequence of movement, because implementing according to the present invention
Example, some steps can sequentially or simultaneously be carried out using other.Secondly, those skilled in the art should also know, specification
Described in embodiment belong to preferred embodiment, necessary to the involved action not necessarily embodiment of the present invention.
On the basis of above-described embodiment, the present embodiment additionally provides a kind of searcher, is applied to server.
Reference picture 5, shows a kind of structured flowchart of searcher according to an embodiment of the invention, can specifically wrap
Include such as lower module：
Receiver module 501, for receiving term.
Pretreatment module 502, keyword is determined for carrying out pretreatment to the term for receiving.
Search module 503, for being scanned for destination object according to the keyword and determines Search Results, described to search
Hitch fruit includes the destination object screened according at least one dimension weighted calculation.
Feedback module 504, for being fed back to the Search Results, to show the Search Results.
To sum up, term can be received and pre-process and obtain keyword, improve the accuracy of keyword, then used
Keyword is scanned for destination object, to improve recall precision；And screened according at least one dimension weighted calculation and searched for
The destination object for obtaining obtains Search Results, and the accuracy of retrieval result is improved by the screening of one or more dimensions, so that
The Search Results are fed back to show the Search Results so that user can obtain required various destination objects.
Reference picture 6, shows a kind of structured flowchart of preferred searcher according to an embodiment of the invention, specifically
Such as lower module can be included：
Data acquisition module 505, the destination object data source for obtaining third-party platform in advance, the destination object number
It is used to provide data for the search of destination object according to source.
Data source processing module 506, for entering to each destination object correspondence associated data in the destination object data source
Row data cleansing；Result according to data cleansing determines dimension values of each destination object in each dimension.
Receiver module 501, for receiving term.
Pretreatment module 502, keyword is determined for carrying out pretreatment to the term for receiving.
Search module 503, for being scanned for destination object according to the keyword and determines Search Results, described to search
Hitch fruit includes the destination object screened according at least one dimension weighted calculation.
Feedback module 504, for being fed back to the Search Results, to show the Search Results.
Wherein, the pretreatment includes following at least one：Filtered symbol treatment, correction process, cutting treatment, alias are closed
Connection treatment.The keyword includes following at least one：Short word, function descriptor, polymorphic type word blendword, alias association
Word.
The search module 503, including：
Object search submodule 5031, for being scanned for according to the keyword, determines at least one destination object.
Dimension weights submodule 5032, for each destination object to be weighted according at least one dimension, it is determined that
The weighted score of each destination object.
Dimension screens submodule 5033, is screened for the weighted score according to each destination object, generates corresponding searching
Hitch is really.
Wherein, the object search submodule 5031, for being scanned for destination object using keyword, and/or, adopt
Destination object is scanned for the class label of the Keywords matching.
The object search submodule 5031, the classification for determining destination object according to the keyword, according to described
Categorical match class label.
Dimension weights submodule 5032, for for each destination object, determining dimension of the destination object in each dimension
Angle value and weight；Each dimension values are weighted summation according to respective weights, the weighted score of each destination object is determined.It is described
Dimension includes following at least one：Title dimension, keyword dimension, user's evaluative dimension, speed dimension, download dimension.
The search module 503, is additionally operable to be added in the Search Results source-information of each destination object, wherein,
The source-information includes：Our station resource and/or third party's resource.
To sum up, keyword is obtained by various pretreatment operations, so as to carry out retrieval according to keyword can effectively improve
Recall precision；Can be screened according to various dimensions for destination object, so as to improve the accuracy of destination object.
The present embodiment additionally provides a kind of searcher, is applied to terminal.
Reference picture 7, shows a kind of structured flowchart of searcher in accordance with another embodiment of the present invention, specifically can be with
Including such as lower module：
Uploading module 701, for the term of input to be uploaded into server.
As a result receiver module 702, for the Search Results of the reception server feedback, wherein, the Search Results include pressing
According to the destination object of at least one dimension weighted calculation screening.
Display module 703, for being shown to the Search Results.
To sum up, term can be received and pre-process and obtain keyword, improve the accuracy of keyword, then used
Keyword is scanned for destination object, to improve recall precision；And screened according at least one dimension weighted calculation and searched for
The destination object for obtaining obtains Search Results, and the accuracy of retrieval result is improved by the screening of one or more dimensions, so that
The Search Results are fed back to show the Search Results so that user can obtain required various destination objects.
Reference picture 8, shows a kind of structured flowchart of preferred searcher in accordance with another embodiment of the present invention, tool
Body can include such as lower module：
Uploading module 701, for the term of input to be uploaded into server.
As a result receiver module 702, for the Search Results of the reception server feedback, wherein, the Search Results include pressing
According to the destination object of at least one dimension weighted calculation screening.
Display module 703, for being shown to the Search Results.
Jump module 704, when the destination object for being triggered as user belongs to third party's resource, jumps to third party website
Show the destination object.
Wherein, the display module 703, for obtaining the source-information of each destination object from the Search Results and adding
Power score value, wherein, the source-information includes：Our station resource and/or third party's resource；According to the source-information and weighting point
Value is shown to each destination object.
The display module 703, is additionally operable to when belonging to the weighted score of two destination objects of third party's resource and being identical,
The preferential dimension values for showing speed dimension destination object high.
To sum up, show the information such as source and the weighted value of each destination object when Search Results are shown, be easy to user to select
Required destination object is selected, the retrieval result of personalization is provided the user with；Performed for the destination object of separate sources different
Treatment operation, is easy to user to the feedback of retrieval result and checks, improves Consumer's Experience.
For device embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, it is related
Part is illustrated referring to the part of embodiment of the method.
Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein.
Various general-purpose systems can also be used together with based on teaching in this.As described above, construct required by this kind of system
Structure be obvious.Additionally, the present invention is not also directed to any certain programmed language.It is understood that, it is possible to use it is various
Programming language realizes the content of invention described herein, and the description done to language-specific above is to disclose this hair
Bright preferred forms.
In specification mentioned herein, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be put into practice in the case of without these details.In some instances, known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify one or more that the disclosure and helping understands in each inventive aspect, exist
Above to the description of exemplary embodiment of the invention in, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：I.e. required guarantor
The application claims of shield features more more than the feature being expressly recited in each claim.More precisely, such as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, and wherein each claim is in itself
All as separate embodiments of the invention.
Those skilled in the art are appreciated that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more equipment different from the embodiment.Can be the module or list in embodiment
Unit or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or
Sub-component.In addition at least some in such feature and/or process or unit exclude each other, can use any
Combine to all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed appoint
Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power
Profit is required, summary and accompanying drawing) disclosed in each feature can the alternative features of or similar purpose identical, equivalent by offer carry out generation
Replace.
Although additionally, it will be appreciated by those of skill in the art that some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment required for protection is appointed
One of meaning mode can be used in any combination.
All parts embodiment of the invention can be realized with hardware, or be run with one or more processor
Software module realize, or with combinations thereof realize.It will be understood by those of skill in the art that can use in practice
Microprocessor or digital signal processor (DSP) realize searching method and searcher equipment according to embodiments of the present invention
In some or all parts some or all functions.The present invention is also implemented as described herein for performing
Some or all equipment or program of device (for example, computer program and computer program product) of method.So
Realize that program of the invention can be stored on a computer-readable medium, or can have one or more signal shape
Formula.Such signal can be downloaded from internet website and obtained, or be provided on carrier signal, or with any other shape
Formula is provided.
It should be noted that above-described embodiment the present invention will be described rather than limiting the invention, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol being located between bracket should not be configured to limitations on claims.Word "comprising" is not excluded the presence of not
Element listed in the claims or step.Word "a" or "an" before element is not excluded the presence of as multiple
Element.The present invention can come real by means of the hardware for including some different elements and by means of properly programmed computer
It is existing.If in the unit claim for listing equipment for drying, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
The invention discloses A1, a kind of searching method, including：Receive term and the term to receiving is pre-processed
Determine keyword；Search Results are scanned for and determine to destination object according to the keyword, the Search Results include pressing
According to the destination object of at least one dimension weighted calculation screening；The Search Results are fed back, to show the search knot
Really.
A2, the method as described in A1, wherein, the pretreatment includes following at least one：At filtered symbol treatment, error correction
Reason, cutting treatment, alias association treatment.
A3, the method as described in A2, wherein, the keyword includes following at least one：It is short word, function descriptor, many
Type word blendword, alias association word.
A4, the method as described in A1 to A3 is any, wherein, it is described that bag is scanned for destination object according to the keyword
Include：Scanned for according to the keyword, determine at least one destination object；Each destination object is entered according at least one dimension
Row weighted calculation, determines the weighted score of each destination object；Screened according to the weighted score of each destination object, it is right to generate
The Search Results answered.
A5, the method as described in A4, wherein, it is described to scan for including according to the keyword：Using keyword to mesh
Mark object is scanned for, and/or, destination object is scanned for using the class label of the Keywords matching.
A6, the method as described in A5, wherein, it is described to be included using the Keywords matching class label：According to the pass
Keyword determines the classification of destination object, according to the categorical match class label.
A7, the method as described in A1, wherein, it is described that each destination object is weighted according at least one dimension,
Determining the weighted score of each destination object includes：For each destination object, dimension of the destination object in each dimension is determined
Angle value and weight；Each dimension values are weighted summation according to respective weights, the weighted score of each destination object is determined.
A8, the method as described in A1 or A7, wherein, the dimension includes following at least one：Title dimension, keyword dimension
Degree, user's evaluative dimension, speed dimension, download dimension.
A9, the method as described in A8, wherein, also include：The destination object data source of third-party platform is obtained in advance, it is described
Destination object data source is used to provide data for the search of destination object.
A10, the method as described in A9, wherein, also include：Each destination object correspondence in the destination object data source is closed
Connection data carry out data cleansing；Result according to data cleansing determines dimension values of each destination object in each dimension.
A11, the method as described in A9, wherein, also include：The source letter of each destination object is added in the Search Results
Breath, wherein, the source-information includes：Our station resource and/or third party's resource.
The embodiment of the invention also discloses B12, a kind of searching method, including：The term of input is uploaded to server；
The Search Results of the reception server feedback, wherein, the Search Results include what is screened according at least one dimension weighted calculation
Destination object；The Search Results are shown.
B13, the method as described in B12, wherein, it is described the Search Results are shown including：From the search knot
The source-information and weighted score of each destination object are obtained in fruit, wherein, the source-information includes：Our station resource and/or
Tripartite's resource；Each destination object is shown according to the source-information and weighted score.
B14, the method as described in B13, wherein, also include：When two weightings of destination object for belonging to third party's resource
When score value is identical, the preferential dimension values for showing speed dimension destination object high.
B15, the method as described in B13, wherein, also include：When the destination object of user's triggering belongs to third party's resource,
Jump to third party website and show the destination object.
The embodiment of the invention also discloses C16, a kind of searcher, including：Receiver module, for receiving term；In advance
Processing module, keyword is determined for carrying out pretreatment to the term for receiving；Search module, for according to the keyword pair
Destination object is scanned for and determines Search Results, and the Search Results include what is screened according at least one dimension weighted calculation
Destination object；Feedback module, for being fed back to the Search Results, to show the Search Results.
C17, the device as described in C16, wherein, the pretreatment includes following at least one：Filtered symbol treatment, error correction
Treatment, cutting treatment, alias association treatment.
C18, the device as described in C17, wherein, the keyword includes following at least one：Short word, function descriptor,
Polymorphic type word blendword, alias association word.
C19, the device as described in C16 to C18 is any, wherein, the search module, including：Object search submodule, uses
Scanned according to the keyword, determine at least one destination object；Dimension weights submodule, for by each destination object
It is weighted according at least one dimension, determines the weighted score of each destination object；Dimension screen submodule, for according to
Screened according to the weighted score of each destination object, generated corresponding Search Results.
C20, the device as described in C19, wherein, the object search submodule, for using keyword to destination object
Scan for, and/or, destination object is scanned for using the class label of the Keywords matching.
C21, the device as described in C20, wherein, the object search submodule, for determining mesh according to the keyword
The classification of object is marked, according to the categorical match class label.
C22, the device as described in C16, wherein, dimension weighting submodule, for for each destination object, it is determined that described
Dimension values and weight of the destination object in each dimension；Each dimension values are weighted summation according to respective weights, each mesh is determined
Mark the weighted score of object.
C23, the device as described in C16 or C22, wherein, the dimension includes following at least one：Title dimension, key
Word dimension, user's evaluative dimension, speed dimension, download dimension.
C24, the device as described in C23, wherein, also include：Data acquisition module, for obtaining third-party platform in advance
Destination object data source, the destination object data source is used to provide data for the search of destination object.
C25, the device as described in C24, wherein, also include：Data source processing module, for the destination object data
Each destination object correspondence associated data carries out data cleansing in source；Result according to data cleansing determines each destination object in each dimension
The dimension values of degree.
C26, the device as described in C24, wherein, the search module is additionally operable to add each mesh in the Search Results
The source-information of object is marked, wherein, the source-information includes：Our station resource and/or third party's resource.
The embodiment of the invention also discloses D27, a kind of searcher, including：Uploading module, for the term that will be input into
It is uploaded to server；As a result receiver module, for the Search Results of the reception server feedback, wherein, the Search Results include
According to the destination object that at least one dimension weighted calculation is screened；Display module, for being shown to the Search Results.
D28, the device as described in D27, wherein, the display module, for obtaining each target from the Search Results
The source-information and weighted score of object, wherein, the source-information includes：Our station resource and/or third party's resource；According to institute
Source-information and weighted score is stated to be shown each destination object.
D29, the device as described in D28, wherein, the display module is additionally operable to when two mesh for belonging to third party's resource
When the weighted score of mark object is identical, the preferential dimension values for showing speed dimension destination object high.
D30, the device as described in D28, wherein, also include：Jump module, the destination object for being triggered as user belongs to
During third party's resource, jump to third party website and show the destination object.
Claims (10)
1. a kind of searching method, including：
Receiving term and the term to receiving carries out pretreatment and determines keyword；
Search Results are scanned for and determine to destination object according to the keyword, the Search Results are included according at least one
The destination object of individual dimension weighted calculation screening；
The Search Results are fed back, to show the Search Results.
2. the method for claim 1, wherein the pretreatment includes following at least one：Filtered symbol treatment, error correction
Treatment, cutting treatment, alias association treatment.
3. method as claimed in claim 2, wherein, the keyword includes following at least one：Short word, function descriptor,
Polymorphic type word blendword, alias association word.
4. the method as described in claims 1 to 3 is any, wherein, it is described destination object is scanned for according to the keyword
Including：
Scanned for according to the keyword, determine at least one destination object；
Each destination object is weighted according at least one dimension, the weighted score of each destination object is determined；
Screened according to the weighted score of each destination object, generated corresponding Search Results.
5. method as claimed in claim 4, wherein, it is described to scan for including according to the keyword：
Destination object is scanned for using keyword, and/or, using the class label of the Keywords matching to destination object
Scan for.
6. method as claimed in claim 5, wherein, it is described to be included using the Keywords matching class label：
The classification of destination object is determined according to the keyword, according to the categorical match class label.
7. it is the method for claim 1, wherein described that each destination object is weighted meter according at least one dimension
Calculate, determining the weighted score of each destination object includes：
For each destination object, dimension values and weight of the destination object in each dimension are determined；
Each dimension values are weighted summation according to respective weights, the weighted score of each destination object is determined.
8. a kind of searching method, including：
The term of input is uploaded to server；
The Search Results of the reception server feedback, wherein, the Search Results include being sieved according at least one dimension weighted calculation
The destination object of choosing；
The Search Results are shown.
9. a kind of searcher, including：
Receiver module, for receiving term；
Pretreatment module, keyword is determined for carrying out pretreatment to the term for receiving；
Search module, for being scanned for destination object according to the keyword and determines Search Results, the Search Results
Including the destination object screened according at least one dimension weighted calculation.
10. a kind of searcher, including：
Uploading module, for the term of input to be uploaded into server；
As a result receiver module, for the Search Results of the reception server feedback, wherein, the Search Results are included according at least one
The destination object of individual dimension weighted calculation screening；
Display module, for being shown to the Search Results.
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108153909A (en) * | 2018-01-18 | 2018-06-12 | 百度在线网络技术（北京）有限公司 | Word method, apparatus and electronic equipment, storage medium are opened up in keyword dispensing |
| CN108334626A (en) * | 2018-02-12 | 2018-07-27 | 百度在线网络技术（北京）有限公司 | Generation method, device and the computer equipment of news program |
| CN108881945A (en) * | 2018-07-11 | 2018-11-23 | 深圳创维数字技术有限公司 | Eliminate method, TV and the readable storage medium storing program for executing of keyword ambiguity |
| CN109410004A (en) * | 2018-10-29 | 2019-03-01 | 维沃移动通信有限公司 | A kind of recommended method, device and mobile terminal |
| CN110019813A (en) * | 2018-05-30 | 2019-07-16 | 中国平安人寿保险股份有限公司 | Life insurance case retrieving method, retrieval device, server and readable storage medium storing program for executing |
| CN110019658A (en) * | 2017-07-31 | 2019-07-16 | 腾讯科技（深圳）有限公司 | The generation method and relevant apparatus of search terms |
| CN110232071A (en) * | 2019-04-26 | 2019-09-13 | 平安科技（深圳）有限公司 | Search method, device and storage medium, the electronic device of drug data |
| WO2019196527A1 (en) * | 2018-04-11 | 2019-10-17 | 北京搜狗科技发展有限公司 | Data processing method, apparatus and electronic device |
| CN110430476A (en) * | 2019-08-05 | 2019-11-08 | 广州华多网络科技有限公司 | Direct broadcasting room searching method, system, computer equipment and storage medium |
| CN110472006A (en) * | 2019-06-28 | 2019-11-19 | 平安科技（深圳）有限公司 | Offer object search method, apparatus, electronic equipment and storage medium |
| CN110674320A (en) * | 2019-09-27 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Retrieval method and device and electronic equipment |
| CN111597439A (en) * | 2020-04-30 | 2020-08-28 | 北京字节跳动网络技术有限公司 | Information processing method and device and electronic equipment |
| CN113326416A (en) * | 2021-06-15 | 2021-08-31 | 北京百度网讯科技有限公司 | Method for retrieving data, method and device for sending retrieved data to client |
| CN113793193A (en) * | 2021-08-13 | 2021-12-14 | 唯品会(广州)软件有限公司 | Data search accuracy verification method, device, equipment and computer readable medium |
| CN114547064A (en) * | 2021-12-31 | 2022-05-27 | 广州盖盟达工业品有限公司 | Product searching method, system, computer equipment and readable storage medium |
| CN114817504A (en) * | 2022-05-05 | 2022-07-29 | 北京三快在线科技有限公司 | Medicine searching method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060106767A1 (en) * | 2004-11-12 | 2006-05-18 | Fuji Xerox Co., Ltd. | System and method for identifying query-relevant keywords in documents with latent semantic analysis |
| CN102339448A (en) * | 2011-09-30 | 2012-02-01 | 奇智软件（北京）有限公司 | Group purchase platform information processing method and device |
| CN103914533A (en) * | 2014-03-31 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Promotion search result display method and device |
| CN104008170A (en) * | 2014-05-30 | 2014-08-27 | 广州金山网络科技有限公司 | Search result providing method and device |
-
2016
- 2016-11-18 CN CN201611027910.4A patent/CN106776741A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060106767A1 (en) * | 2004-11-12 | 2006-05-18 | Fuji Xerox Co., Ltd. | System and method for identifying query-relevant keywords in documents with latent semantic analysis |
| CN102339448A (en) * | 2011-09-30 | 2012-02-01 | 奇智软件（北京）有限公司 | Group purchase platform information processing method and device |
| CN103914533A (en) * | 2014-03-31 | 2014-07-09 | 百度在线网络技术（北京）有限公司 | Promotion search result display method and device |
| CN104008170A (en) * | 2014-05-30 | 2014-08-27 | 广州金山网络科技有限公司 | Search result providing method and device |
Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110019658A (en) * | 2017-07-31 | 2019-07-16 | 腾讯科技（深圳）有限公司 | The generation method and relevant apparatus of search terms |
| CN110019658B (en) * | 2017-07-31 | 2023-01-20 | 腾讯科技（深圳）有限公司 | Method and related device for generating search term |
| CN108153909B (en) * | 2018-01-18 | 2022-06-10 | 百度在线网络技术（北京）有限公司 | Keyword putting word-expanding method and device, electronic equipment and storage medium |
| CN108153909A (en) * | 2018-01-18 | 2018-06-12 | 百度在线网络技术（北京）有限公司 | Word method, apparatus and electronic equipment, storage medium are opened up in keyword dispensing |
| CN108334626A (en) * | 2018-02-12 | 2018-07-27 | 百度在线网络技术（北京）有限公司 | Generation method, device and the computer equipment of news program |
| CN108334626B (en) * | 2018-02-12 | 2022-06-10 | 百度在线网络技术（北京）有限公司 | News column generation method and device and computer equipment |
| WO2019196527A1 (en) * | 2018-04-11 | 2019-10-17 | 北京搜狗科技发展有限公司 | Data processing method, apparatus and electronic device |
| CN110377766A (en) * | 2018-04-11 | 2019-10-25 | 北京搜狗科技发展有限公司 | A kind of data processing method, device and electronic equipment |
| CN110019813A (en) * | 2018-05-30 | 2019-07-16 | 中国平安人寿保险股份有限公司 | Life insurance case retrieving method, retrieval device, server and readable storage medium storing program for executing |
| CN108881945A (en) * | 2018-07-11 | 2018-11-23 | 深圳创维数字技术有限公司 | Eliminate method, TV and the readable storage medium storing program for executing of keyword ambiguity |
| CN108881945B (en) * | 2018-07-11 | 2020-09-22 | 深圳创维数字技术有限公司 | Method for eliminating keyword ambiguity, television and readable storage medium |
| CN109410004A (en) * | 2018-10-29 | 2019-03-01 | 维沃移动通信有限公司 | A kind of recommended method, device and mobile terminal |
| CN110232071A (en) * | 2019-04-26 | 2019-09-13 | 平安科技（深圳）有限公司 | Search method, device and storage medium, the electronic device of drug data |
| CN110472006A (en) * | 2019-06-28 | 2019-11-19 | 平安科技（深圳）有限公司 | Offer object search method, apparatus, electronic equipment and storage medium |
| CN110430476B (en) * | 2019-08-05 | 2021-12-28 | 广州方硅信息技术有限公司 | Live broadcast room searching method, system, computer equipment and storage medium |
| CN110430476A (en) * | 2019-08-05 | 2019-11-08 | 广州华多网络科技有限公司 | Direct broadcasting room searching method, system, computer equipment and storage medium |
| CN110674320A (en) * | 2019-09-27 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Retrieval method and device and electronic equipment |
| CN111597439A (en) * | 2020-04-30 | 2020-08-28 | 北京字节跳动网络技术有限公司 | Information processing method and device and electronic equipment |
| CN113326416A (en) * | 2021-06-15 | 2021-08-31 | 北京百度网讯科技有限公司 | Method for retrieving data, method and device for sending retrieved data to client |
| CN113793193A (en) * | 2021-08-13 | 2021-12-14 | 唯品会(广州)软件有限公司 | Data search accuracy verification method, device, equipment and computer readable medium |
| CN113793193B (en) * | 2021-08-13 | 2024-02-02 | 唯品会(广州)软件有限公司 | Data search accuracy verification method, device, equipment and computer readable medium |
| CN114547064A (en) * | 2021-12-31 | 2022-05-27 | 广州盖盟达工业品有限公司 | Product searching method, system, computer equipment and readable storage medium |
| CN114817504A (en) * | 2022-05-05 | 2022-07-29 | 北京三快在线科技有限公司 | Medicine searching method, device, equipment and storage medium |
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