CN108694183A - A kind of search method and device - Google Patents
A kind of search method and device Download PDFInfo
- Publication number
- CN108694183A CN108694183A CN201710222448.1A CN201710222448A CN108694183A CN 108694183 A CN108694183 A CN 108694183A CN 201710222448 A CN201710222448 A CN 201710222448A CN 108694183 A CN108694183 A CN 108694183A
- Authority
- CN
- China
- Prior art keywords
- keyword
- server
- module
- information
- target information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the invention discloses a kind of search method and devices.Present invention method includes:Determine target information;Keyword is extracted from the target information, the keyword is the vocabulary for meeting server search rule, and the keyword includes specialized vocabulary, and the server is server corresponding with the profession of the keyword;The keyword is sent to the server;Receive the result information of the server, the result information is that the server is scanned for according to the keyword, obtain with the relevant information of the keyword;Show the result information.The embodiment of the present invention additionally provides a kind of retrieval device, it is greatly saved the operating procedure of the retrieval of user, improves recall precision, and can make most users that can independently retrieve, increase audient's range of user so that retrieval mode is more popular.
Description
Technical field
The present invention relates to computer realm more particularly to a kind of search method and devices.
Background technology
Currently, when user needs to retrieve the article of some profession, it usually needs open retrieval corresponding with the profession manually
Then and in conjunction with the understanding of oneself system extracts keyword, keyword is manually entered into searching system and is retrieved.Example
Such as, user sees one about legal article, when user is interested in certain paragraphs or sentence word on webpage
Or when not understanding, when needing to retrieve other information associated with this document, it is necessary to first open document retrieval system manually
System, and keyword is extracted in conjunction with the understanding of oneself, keyword is manually entered into legal documents searching system and is retrieved.
As described previously for this traditional search method, it is desirable that user has legal knowledge certain professional degree, according to
The personal law level and the laws and regulations degree of understanding for relying user, otherwise it cannot be guaranteed that the keyword of extraction is objective and accurate;And it needs
User is wanted to have certain familiarity to searching system, the skilled application method for grasping searching system, to ensure the accurate of retrieval
Property.
Traditional search method, it is high for the level of expertise dependency degree of user, and for the use of searching system
The qualification dependency degree of method is high, this results in the article that most users can not be by traditional method to certain professions
It is retrieved, appropriate is low, and the scope of application is small.
Invention content
An embodiment of the present invention provides a kind of search method and devices.For improving recall precision, and can make big
Most users can be retrieved independently, increase audient's range of user so that retrieval mode is more popular.
In a first aspect, an embodiment of the present invention provides a kind of search methods, including:
Determine target information;
Keyword is extracted from the target information, the keyword is the vocabulary for meeting server search rule, described
Keyword includes specialized vocabulary, and the server is server corresponding with the profession of the keyword;
The keyword is sent to the server;
The result information of the server is received, the result information is that the server is searched according to the keyword
Rope, obtain with the relevant information of the keyword;
Show the result information.
Optionally, described to extract keyword from the target information, including:
The target information is matched with preset keyword set, the keyword set includes multiple keys
Word;
Extract in the target information with the keyword that matches in the keyword set.
Optionally, after extracting keyword in the target information, the keyword is sent it to the server
Before, the method further includes:
Determine the target category of the keyword by semantic model, the semantic model be by multiple keywords into
Row learning training obtains, and the semantic model includes the functional relation of keyword classification corresponding with keyword;
The keyword and the mark of the target category are associated;
The keyword is sent to server, including:
The keyword for carrying target category mark is sent to the server, so that the server is according to the pass
The classification of keyword is scanned for according to corresponding search rule.
Optionally, after extracting keyword in the target information, the method further includes:
The keyword is prompted;
Receive the confirmation instruction input by user for sending the keyword;
The keyword is sent to server, including:
It is instructed according to the confirmation and sends the keyword to the server.
Optionally, the determining target information includes:
Respond the selection operation of user;
The target information is determined according to the selection operation.
Second aspect, an embodiment of the present invention provides a kind of retrieval devices, including:
Information determination module, for determining target information;
Extraction module extracts keyword, the pass in the target information for being determined from described information determining module
Keyword is the vocabulary for meeting server search rule, and the keyword includes specialized vocabulary, and the server is and the key
The corresponding server of profession of word;
Sending module, the keyword for extracting the extraction module are sent to the server;
First receiving module, the result information for receiving the server, the result information are the server root
Scanned for according to the keyword, obtain with the relevant information of the keyword;
Display module, the result information received for showing first receiving module.
Optionally, the extraction module includes matching unit and extraction unit;
The matching unit, the target information for determining the determining module and preset keyword set into
Row matching, the keyword set includes multiple keywords;
The extraction unit, for extract in the target information that the matching unit determines with the keyword set
In the keyword that matches of keyword.
Optionally, further include category determination module and relating module;
The category determination module, the mesh of the keyword for determining the extraction module extraction by semantic model
Classification is marked, the semantic model is obtained by carrying out learning training to multiple keywords, and the semantic model includes key
The functional relation of word classification corresponding with keyword;
The relating module, the keyword for extracting the extraction module are determined with the category determination module
The mark of target category be associated;
The sending module is additionally operable to the keyword for identifying the associated carrying target category of relating module to the service
Device is sent, so that the server is scanned for according to the classification of the keyword according to corresponding search rule.
Optionally, further include reminding module and the second receiving module;
The reminding module, for prompting the keyword;
Second receiving module, for receiving the keyword input by user for sending the reminding module prompt
Confirm instruction;
The sending module, the confirmation for being received according to second receiving module instruct by the keyword to
The server is sent.
Optionally, described information determining module includes response unit and determination unit;
The response unit, the selection operation for responding user;
The determination unit, the selection operation for being responded according to the response unit determine the target information.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:
In the embodiment of the present invention, target information is determined, which can automatically extract the keyword in target information,
It does not need user and manually extracts keyword, then, retrieval device sends the keyword to retrieval server, which meets
The search rule of the server does not need the artificial opening searching system of user, grasps search rule without user, then should
Server is inquired according to the keyword, the result information retrieved is fed back to the retrieval device, retrieval device receives
After the result information, the result information is shown, which is and the relevant document information of the keyword.It is greatly saved
The operating procedure of the retrieval of user improves recall precision, and can make most of use to save the time of user
Family can independently be retrieved, and increase audient's range of user so that retrieval mode is more popular.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those skilled in the art, other drawings may also be obtained based on these drawings.
Fig. 1 is the configuration diagram of searching system in the embodiment of the present invention;
Fig. 2 is a kind of flow diagram of one embodiment of search method in the embodiment of the present invention;
Fig. 3 is a kind of structural schematic diagram of one embodiment of retrieval device in the embodiment of the present invention;
Fig. 4 is a kind of structural schematic diagram of another embodiment of retrieval device in the embodiment of the present invention;
Fig. 5 is a kind of structural schematic diagram of another embodiment of retrieval device in the embodiment of the present invention;
Fig. 6 is a kind of structural schematic diagram of another embodiment of retrieval device in the embodiment of the present invention;
Fig. 7 is a kind of structural schematic diagram of another embodiment of retrieval device in the embodiment of the present invention.
Specific implementation mode
An embodiment of the present invention provides a kind of search method and retrieval devices, for improving recall precision, and can be with
So that most users can be retrieved independently, audient's range of user is increased so that retrieval mode is more popular.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained, should all belong to the scope of protection of the invention.
Term " first ", " second ", " third " " in description and claims of this specification and above-mentioned attached drawing
The (if present)s such as four " are for distinguishing similar object, without being used to describe specific sequence or precedence.It should manage
The data that solution uses in this way can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating herein
Or the sequence other than the content of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process of series of steps or unit, method, system, product or equipment need not limit
In those of clearly listing step or unit, but may include not listing clearly or for these processes, method, production
The intrinsic other steps of product or equipment or unit.
An embodiment of the present invention provides a kind of method of quick-searching, this method is applied to a kind of searching system, the retrieval
System can be used for the retrieval of professional document, which can be the clothes that some professional (such as legal profession) provides retrieval service
Business device, for example, the server can be the server for storing legal documents.Alternatively, the server can also include several
Child servers, each child servers store the document of some profession.For example, the server includes mechanical major server, lead to
Believe professional server and legal profession server etc., the search rule of the server can be identical, can also be according to different
The different search rule of major setting does not limit the specific framework form of the server in practical applications.Of the invention real
It applies in example, which can illustrate by taking the server of legal profession as an example.
Refering to Figure 1, Fig. 1 is the configuration diagram of searching system in the embodiment of the present invention, which includes
Retrieval device 110 and server 120, the retrieval device 110 can be connect by interface with the server 120, the retrieval device
110 for automatically extracting keyword, and the keyword is sent to server 120, which receives the retrieval device
After 110 keywords sent, server 120 is retrieved according to the keyword, retrieval and the relevant result information of the keyword,
And the result information is fed back into retrieval device 110, which shows the result information.The retrieval device 110 can be with
For computer, mobile phone, personal digital assistant (Personal Digital Assistant, abbreviation:The user equipmenies such as PDA).
For the example of a scene, if the target information is that " Mr. Wang nets loan platform by certain P2P
10000 equal 10 people reach borrowing agreements, arrange 10 people and lend 200,000 yuan to Mr. Wang altogether, all if the overdue refund of Mr. Wang
Lender agrees unanimously the operator that this agreement credits are gratuitously transferred to the platform, is demanded from operator is unified to borrower,
Lee is overdue afterwards, and operator wants prosecution, how to do ".From the example above as can be seen that for common user, also
It is the less user of legal profession knowledge, the degree of understanding can respectively have difference, even if being intended to inquire above-mentioned mesh by searching system
The relevant law document of mark information the case where describing, it is also difficult to correct search key is extracted, even if the keyword of extraction
Open searching system, it is also possible to the searching system application method is not grasped, therefore, for common users,
It is very big to inquire some strongly professional article difficulty.
The retrieval device can automatically extract the keyword in target information in the embodiment of the present invention, and it is artificial not need user
Keyword is extracted, device is then retrieved and sends the keyword to retrieval server, which meets the retrieval of the server
Rule does not need the artificial opening searching system of user, grasps search rule without user, then the server is according to the pass
Keyword is inquired, and the result information retrieved is fed back to the retrieval device, after retrieval device receives the result information, is shown
Show the result information, which is and the relevant document information of the keyword.It is greatly saved the behaviour of the retrieval of user
Make step, to save the time of user, improves recall precision, and can make most users that can independently examine
Rope increases audient's range of user so that retrieval mode is more popular.
A kind of method for quickly retrieving provided in an embodiment of the present invention is described below, is please referred to shown in Fig. 2, the present invention
Embodiment provides a kind of one embodiment of the method for quick-searching:
Step 201, retrieval device determine target information.
The target information can be text information.For example, the target information can be the passage of an article, or
One sentence or a word etc..
The target information can also be the text information in pictorial information, if the target information is the word in pictorial information
Information needs to extract the text information in picture by picture recognition technology.
The retrieval device determines that the specific method of the target information can be:
The retrieval device responds the selection operation of user, then determines the target information according to the selection operation.
For example, for the example of a scene, the selection operation of the user, which can be user, passes through input equipment (such as mouse
Or touch screen) slided on word, retrieval device detects the word of mouse sliding, then the word is determined as target letter
Breath.
In another example, the selection operation of the user can be that user inputs determining target information by voice.Inspection
Rope device detects voice messaging, and converts the voice messaging to text information, then using the text information after conversion as
Target information.
Step 202, retrieval device extract keyword from the target information, and the keyword is to meet server retrieval
The vocabulary of rule, the keyword includes specialized vocabulary, and the server is clothes corresponding with the profession belonging to the keyword
Business device.
Retrieval device extracts the specific method of keyword from the target information to be:
The target information is matched with preset keyword set, the keyword set includes multiple keys
Word, extract in the target information with the keyword that matches in the keyword set.
In one implementation, the keyword set can be stored in the retrieval device.
In another implementation, which can also be stored in another data server, Huo Zheyun
End, retrieval device can obtain the keyword set from the data server or high in the clouds.
For the example of a scene, if the target information is that " Mr. Wang nets loan platform by certain P2P
10000 equal 10 people reach borrowing agreements, arrange 10 people and lend 200,000 yuan to Mr. Wang altogether, all if the overdue refund of Mr. Wang
Lender agrees unanimously the operator that this agreement credits are gratuitously transferred to the platform, is demanded from operator is unified to borrower,
Lee is overdue afterwards, and operator wants prosecution, how to do ".
The keyword set include largely with the relevant vocabulary of law.For example, the keyword set includes " debt
Power ", " transfer ", " borrowing agreements ", " criminal law ", " fault ", " finance ", " swindle " etc. the and relevant specialized vocabulary of law.It needs
It is noted that keyword included in keyword set illustrated example merely for convenience of description, do not cause pair
The limited explanation of the present invention.
The target information is matched with multiple keywords in the keyword set, is determined " borrowing agreements ", " debt
Power ", " transfer " are keyword.
Step 203, retrieval device prompt the keyword.
After retrieval device determines the keyword, retrieval device can prompt the keyword, the side of the prompt
Formula can be:
A kind of mode can generate information input interface, which is copied to the information input interface, to prompt to use
The keyword that family determines.Further, in such mode, user can also supplement keyword according to the understanding of oneself.Example
Such as, in the above example, user can increase " fulfiling " this keyword according to oneself understanding for the target information.
The second way:The keyword can be highlighted in former text information.
The third mode:The font that keyword is shown to another color in former text information, to distinguish original text word letter
Breath.
It should be noted that above-mentioned three kinds of modes are merely illustrative, limitation of the invention explanation is not caused.
Step 204, retrieval device receive the confirmation instruction input by user for sending the keyword.
The determine instruction can be the click signal received in preset regions.For example, the display interface packet of the retrieval device
" transmission " button is included, user, which clicks, is somebody's turn to do " transmission " button, and the keyword is sent to determine.
It it should be noted that step 203 and step 204 are optional step, can not execute, and directly execute step 205,
Namely after retrieval device determines keyword, directly the keyword is sent to server, without prompting.In step
203 and step 204 in, which can show the keyword so that user sees the keyword that device automatically extracts,
User can be made to learn the keyword of extraction, be conducive to the knowledge of legal profession have study idea user according to
Target information determines the key point in target information.
Step 205, retrieval device send the keyword to the server.
The retrieval device can be connect by interface with the server, and the retrieval device is by the keyword after determination to the clothes
Business device is sent, for example, in the above example, which is " borrowing agreements ", " credits ", " transfer ".
After step 206, server receive the keyword, is scanned for according to the keyword, obtain result information, the knot
Fruit information be and the relevant information of the keyword.
After the server receives the keyword, according to the keyword (such as " borrowing agreements ", " credits ", " transfer ") into
Row retrieval, obtains result information.
In one implementation, which can be:Document including the keyword.Further, the result
Information can be the document that title includes the keyword.
In another implementation, which can be:The document of near synonym including the keyword.
For example, according to above-mentioned example, server is scanned for according to keyword, and the result information searched is"Borrow money association
The judgement that the signing of view is fulfiled and whether the assignment of credit comes into force".It should be noted that believing for result in the embodiment of the present invention
Breath is only illustrated with the title of a document, and in practical applications, the result information retrieved can have more, this
The example of result information in inventive embodiments does not cause limitation of the invention explanation.
Step 207, server send the result information to retrieval device.
Server should"The judgement that the signing of borrowing agreements is fulfiled and whether the assignment of credit comes into force"Document is filled to retrieval
Set transmission.
Step 208, retrieval device receive the result information of the server, and show the result information.
It should be noted that
In step 202 after extracting keyword in the target information, in step 205 by the keyword to server
Before transmission, the method further includes:
It can determine that the target category of the keyword, the semantic model are by largely closing by semantic model
Keyword carries out what learning training obtained, and the semantic model includes the functional relation of keyword classification corresponding with keyword.
It should be noted that there are many modes of server retrieval, the server is still for retrieval legal documents
It is illustrated for server, legal documents refer to:In addition to special case as defined in law, the court verdict that becomes legally effective,
Written verdict, letter of decision etc..
Since the retrieval for legal documents may be there are many mode, that is to say, that server can pass through keyword
Classification is retrieved, such as the category can be:1, pass through time, date;2, specialized vocabulary (contract, finance, traffic accident,
Guarantee etc.);3, judge's name;4, reel number;5, law court's title;6, law court's level etc., it is to be understood that above-mentioned 6 type
It is not merely illustrative, during server is retrieved, several classifications can be combined use, that is to say, that
Keyword in the embodiment of the present invention is not only limited to specialized vocabulary, but includes the word that can meet search rule, for example, should
Keyword can be the word (2014-4-1) for indicating the time, can be the word for indicating name, can also be and indicate law court's title
Word (such as intermediate court of Henan Province).
The semantic model is the letter of obtained keyword and the category by the way that a large amount of keyword is learnt and trained
Number relationship, using keyword as the input of the semantic model, and exports the classification of the keyword.
For example, if the keyword of extraction includes:" intermediate court of Henan Province " and " credits ", by the analysis of semantic model,
It can determine that the target category of " intermediate court of Henan Province " is " law court's title " and " law court's level ", the target category of " credits "
For " finance ".
Then, the keyword and the mark of the target category are associated, each classification all have there are one mark
Know, for example, the mark can be a serial number, the serial number retrieval device make an appointment with server, if " law court's title " this
The serial number " 1 " of a classification, the serial number " 2 " of " law court's level ", the serial number " 3 " of " finance " this classification.
" intermediate court of Henan Province " this keyword and mark " 1 " and " 2 " are associated;By " finance " this keyword
It is associated with mark " 3 ".It should be noted that the above-mentioned mark for classification is merely illustrative, do not cause to this hair
Bright limited explanation.
It should be noted that above-mentioned retrieval is only illustrated by taking legal profession as an example, and in practical applications, the retrieval side
Method can be used for plurality of application scenes, such as the retrieval of mechanical major bibliography, communication speciality bibliography retrieval etc., this hair
Example in bright embodiment does not cause limitation of the invention explanation.
Then, will carry target category mark keyword sent to the server so that the server according to
The classification of the keyword is scanned for according to corresponding search rule.The server can be scanned for according to classification, to
Improve recall precision.
A kind of search method provided in an embodiment of the present invention is described above, below to search method application
Retrieval device is described, and please refers to shown in Fig. 3, an a kind of implementation of the retrieval device 300 provided in the embodiment of the present invention
Example include:
Information determination module 301, for determining target information;
Extraction module 302, for extracting keyword from the target information that described information determining module 301 determines,
The keyword is the vocabulary for meeting server search rule, and the keyword includes specialized vocabulary, the server for institute
State the corresponding server of profession of keyword;
Sending module 303, the keyword for extracting the extraction module 302 are sent to the server;
First receiving module 304, the result information for receiving the server, the result information are the server
Scanned for according to the keyword, obtain with the relevant information of the keyword;
Display module 305, the result information received for showing first receiving module 304.
It on the basis of Fig. 3 corresponding embodiments, please refers to shown in Fig. 4, a kind of retrieval dress provided in an embodiment of the present invention
Another embodiment for setting 400 includes:
The extraction module 302 includes matching unit 3021 and extraction unit 3022;
The matching unit 3021, the target information for determining described information determining module 301 with it is preset
Keyword set is matched, and the keyword set includes multiple keywords;
The extraction unit 3022, for extract the matching unit 3021 determination the target information in the pass
The keyword that keyword in keyword set matches.
It on the basis of Fig. 3 corresponding embodiments, please refers to shown in Fig. 5, a kind of retrieval dress provided in an embodiment of the present invention
Another embodiment for setting 500 includes:
Further include category determination module 306 and relating module 307;
The category determination module 306, the key for determining the extraction of the extraction module 302 by semantic model
The target category of word, the semantic model are obtained by carrying out learning training to multiple keywords, the semantic model packet
Include the functional relation of keyword classification corresponding with keyword;
The relating module 307, the keyword for extracting the extraction module 302 determine mould with the classification
The mark for the target category that block 306 determines is associated;
The sending module 303 is additionally operable to the keyword for identifying the associated carrying target category of relating module 307 to institute
Server transmission is stated, so that the server is scanned for according to the classification of the keyword according to corresponding search rule.
It on the basis of Fig. 3 corresponding embodiments, please refers to shown in Fig. 6, a kind of retrieval dress provided in an embodiment of the present invention
Another embodiment for setting 600 includes:
Further include reminding module 308 and the second receiving module 309;
The reminding module 308, for prompting the keyword;
Second receiving module 309, for receiving the pass input by user for sending the reminding module 308 and prompting
The confirmation of keyword instructs;
The sending module 303, the confirmation for being received according to second receiving module 309 are instructed the pass
Keyword is sent to the server.
It on the basis of Fig. 3 corresponding embodiments, please refers to shown in Fig. 7, a kind of retrieval dress provided in an embodiment of the present invention
Another embodiment for setting 700 includes:Described information determining module 301 includes response unit 3011 and determination unit 3012;
The response unit 3011, the selection operation for responding user;
The determination unit 3012, the selection operation for being responded according to the response unit 3011 determine the mesh
Mark information.
The retrieval device includes processor and memory, above- mentioned information determining module, extraction module, sending module,
One receiving module, category determination module, relating module, the second receiving module, display module etc. are stored in as program unit
In memory, above procedure unit stored in memory is executed by processor to realize corresponding function.
Include kernel in processor, is gone in memory to transfer corresponding program unit by kernel.Kernel can be arranged one
Or more, the operating procedure of the retrieval of user is saved by adjusting kernel parameter, to improve recall precision.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, if read-only memory (ROM) or flash memory (flash RAM), memory include at least one deposit
Store up chip.
An embodiment of the present invention provides a kind of storage mediums, are stored thereon with program, real when which is executed by processor
Search method described in the corresponding embodiments of existing Fig. 2.
An embodiment of the present invention provides a kind of processor, the processor is for running program, wherein described program is run
Search method described in the corresponding embodiments of Shi Zhihang Fig. 2.
An embodiment of the present invention provides a kind of retrieval device, retrieval device includes processor, memory and is stored in storage
On device and the program that can run on a processor, processor realize following steps when executing program:
Determine target information;Keyword is extracted from the target information, the keyword is to meet server retrieval rule
Vocabulary then, the keyword include specialized vocabulary, and the server is server corresponding with the profession of the keyword;It will
The keyword is sent to the server;The result information of the server is received, the result information is the server
Scanned for according to the keyword, obtain with the relevant information of the keyword;Show the result information.
Optionally, keyword is extracted from target information may include:By target information and preset keyword set into
Row matching, the keyword set includes multiple keywords;Extract in the target information with phase in the keyword set
The keyword matched.
Optionally, it after extracting keyword in target information, before sending keyword to server, can also wrap
It includes:Determine that the target category of the keyword, the semantic model are by multiple keywords by semantic model
Practise what training obtained, the semantic model includes the functional relation of keyword classification corresponding with keyword;By the keyword
It is associated with the mark of the target category;The keyword for carrying target category mark is sent to the server, so that
The server is obtained to be scanned for according to corresponding search rule according to the classification of the keyword.
Optionally, after extracting keyword in target information, can also include:The keyword is prompted;It connects
Receive the confirmation instruction input by user for sending the keyword;According to confirmation instruction by the keyword to the server
It sends.
Optionally, determine that target information may include:Respond the selection operation of user;Institute is determined according to the selection operation
State target information.
Present invention also provides a kind of computer program products, when being executed on data processing equipment, are adapted for carrying out just
The program of beginningization there are as below methods step:
Determine target information;
Keyword is extracted from the target information, the keyword is the vocabulary for meeting server search rule, described
Keyword includes specialized vocabulary, and the server is server corresponding with the profession of the keyword;
The keyword is sent to the server;
The result information of the server is received, the result information is that the server is searched according to the keyword
Rope, obtain with the relevant information of the keyword;
Show the result information.
Optionally, described to extract keyword from the target information, including:
The target information is matched with preset keyword set, the keyword set includes multiple keys
Word;
Extract in the target information with the keyword that matches in the keyword set.
Optionally, after extracting keyword in the target information, the keyword is sent it to the server
Before, the method further includes:
Determine the target category of the keyword by semantic model, the semantic model be by multiple keywords into
Row learning training obtains, and the semantic model includes the functional relation of keyword classification corresponding with keyword;
The keyword and the mark of the target category are associated;
The keyword is sent to server, including:
The keyword for carrying target category mark is sent to the server, so that the server is according to the pass
The classification of keyword is scanned for according to corresponding search rule.
Optionally, after extracting keyword in the target information, the method further includes:
The keyword is prompted;
Receive the confirmation instruction input by user for sending the keyword;
The keyword is sent to server, including:
It is instructed according to the confirmation and sends the keyword to the server.
Optionally, the determining target information includes:
Respond the selection operation of user;
The target information is determined according to the selection operation.
Retrieval device herein can be PC (personal computer, abbreviation:PC), tablet computer
(portable android device, abbreviation:PAD), mobile phone etc..It should be understood by those skilled in the art that, the reality of the application
Method, system or computer program product can be provided as by applying example.Therefore, the application can be used complete hardware embodiment, completely it is soft
The form of part embodiment or embodiment combining software and hardware aspects.Moreover, the application can be used it is one or more wherein
The computer-usable storage medium for including computer usable program code (includes but not limited to magnetic disk storage, CD-ROM, light
Learn memory etc.) on the form of computer program product implemented.
The application is with reference to method, the flow of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
Instruct the processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine so that the instruction executed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that instruction generation stored in the computer readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable Jie
The example of matter.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology realizes information storage.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic tape cassette, tape magnetic disk storage or other magnetic storage apparatus
Or any other non-transmission medium, it can be used for storage and can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Including so that process, method, commodity or equipment including a series of elements include not only those elements, but also wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
There is also other identical elements in process, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
It these are only embodiments herein, be not intended to limit this application.To those skilled in the art,
The application can have various modifications and variations.It is all within spirit herein and principle made by any modification, equivalent replacement,
Improve etc., it should be included within the scope of claims hereof.
Claims (10)
1. a kind of search method, which is characterized in that including:
Determine target information;
Keyword is extracted from the target information, the keyword is the vocabulary for meeting server search rule, the key
Word includes specialized vocabulary, and the server is server corresponding with the profession of the keyword;
The keyword is sent to the server;
The result information of the server is received, the result information is that the server is scanned for according to the keyword,
Obtain with the relevant information of the keyword;
Show the result information.
2. search method according to claim 1, which is characterized in that it is described to extract keyword from the target information,
Including:
The target information is matched with preset keyword set, the keyword set includes multiple keywords;
Extract in the target information with the keyword that matches in the keyword set.
3. search method according to claim 1, which is characterized in that it is described from the target information extract keyword it
Afterwards, before the keyword being sent to the server, the method further includes:
Determine that the target category of the keyword, the semantic model are by multiple keywords by semantic model
Practise what training obtained, the semantic model includes the functional relation of keyword classification corresponding with keyword;
The keyword and the mark of the target category are associated;
The keyword is sent to server, including:
The keyword for carrying target category mark is sent to the server, so that the server is according to the keyword
Classification scanned for according to corresponding search rule.
4. search method according to any one of claims 1 to 3, which is characterized in that described to be carried from the target information
After taking keyword, the method further includes:
The keyword is prompted;
Receive the confirmation instruction input by user for sending the keyword;
The keyword is sent to server, including:
It is instructed according to the confirmation and sends the keyword to the server.
5. search method according to any one of claims 1 to 3, which is characterized in that the determining target information includes:
Respond the selection operation of user;
The target information is determined according to the selection operation.
6. a kind of retrieval device, which is characterized in that including:
Information determination module, for determining target information;
Extraction module extracts keyword, the keyword in the target information for being determined from described information determining module
To meet the vocabulary of server search rule, the keyword includes specialized vocabulary, and the server is and the keyword
The corresponding server of profession;
Sending module, the keyword for extracting the extraction module are sent to the server;
First receiving module, the result information for receiving the server, the result information are the server according to institute
Keyword is stated to scan for, obtain with the relevant information of the keyword;
Display module, the result information received for showing first receiving module.
7. retrieval device according to claim 6, which is characterized in that the extraction module includes that matching unit and extraction are single
Member;
The matching unit, the target information for determining the determining module and preset keyword set progress
Match, the keyword set includes multiple keywords;
The extraction unit, for extract in the target information that the matching unit determines in the keyword set
The keyword that keyword matches.
8. retrieval device according to claim 6, which is characterized in that further include category determination module and relating module;
The category determination module, the target class of the keyword for determining the extraction module extraction by semantic model
, the semantic model is not obtained by carrying out learning training to multiple keywords, the semantic model include keyword with
The functional relation of the corresponding classification of keyword;
The relating module, the mesh that the keyword for extracting the extraction module is determined with the category determination module
The mark of mark classification is associated;
The sending module is additionally operable to send out the associated keyword for carrying target category mark of relating module to the server
It send, so that the server is scanned for according to the classification of the keyword according to corresponding search rule.
9. retrieving device according to claim 6 to 8 any one of them, which is characterized in that further include that reminding module and second connect
Receive module;
The reminding module, for prompting the keyword;
Second receiving module, the confirmation for receiving the keyword input by user for sending the reminding module prompt
Instruction;
The sending module, the confirmation for being received according to second receiving module are instructed the keyword to described
Server is sent.
10. retrieving device according to claim 6 to 8 any one of them, which is characterized in that described information determining module includes ringing
Answer unit and determination unit;
The response unit, the selection operation for responding user;
The determination unit, the selection operation for being responded according to the response unit determine the target information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710222448.1A CN108694183A (en) | 2017-04-06 | 2017-04-06 | A kind of search method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710222448.1A CN108694183A (en) | 2017-04-06 | 2017-04-06 | A kind of search method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108694183A true CN108694183A (en) | 2018-10-23 |
Family
ID=63842109
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710222448.1A Pending CN108694183A (en) | 2017-04-06 | 2017-04-06 | A kind of search method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108694183A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111209277A (en) * | 2020-01-06 | 2020-05-29 | 北京思维造物信息科技股份有限公司 | Data processing method, device, equipment and medium |
CN111339399A (en) * | 2020-01-20 | 2020-06-26 | 腾讯科技(深圳)有限公司 | Object processing method, object processing apparatus, object processing device, and medium |
CN111680208A (en) * | 2020-04-22 | 2020-09-18 | 威比网络科技(上海)有限公司 | Cross-platform communication keyword retrieval method and device, electronic equipment and storage medium |
CN112346876A (en) * | 2020-12-04 | 2021-02-09 | 山东鲁能软件技术有限公司 | Channel distribution method and system with autonomous learning characteristic |
CN113687901A (en) * | 2021-08-26 | 2021-11-23 | 海信电子科技(武汉)有限公司 | Interface display method and interface display device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102646114A (en) * | 2012-02-17 | 2012-08-22 | 清华大学 | News topic timeline abstract generating method based on breakthrough point |
CN105069167A (en) * | 2015-08-28 | 2015-11-18 | 成都六四三六五科技有限公司 | Legal information search method and legal information search apparatus |
CN105631007A (en) * | 2015-12-29 | 2016-06-01 | 云南电网有限责任公司电力科学研究院 | Industry technical information collecting method and system |
CN105989030A (en) * | 2015-02-02 | 2016-10-05 | 阿里巴巴集团控股有限公司 | Text retrieval method and device |
CN106156116A (en) * | 2015-04-07 | 2016-11-23 | 富士通株式会社 | Information issuing method and system |
-
2017
- 2017-04-06 CN CN201710222448.1A patent/CN108694183A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102646114A (en) * | 2012-02-17 | 2012-08-22 | 清华大学 | News topic timeline abstract generating method based on breakthrough point |
CN105989030A (en) * | 2015-02-02 | 2016-10-05 | 阿里巴巴集团控股有限公司 | Text retrieval method and device |
CN106156116A (en) * | 2015-04-07 | 2016-11-23 | 富士通株式会社 | Information issuing method and system |
CN105069167A (en) * | 2015-08-28 | 2015-11-18 | 成都六四三六五科技有限公司 | Legal information search method and legal information search apparatus |
CN105631007A (en) * | 2015-12-29 | 2016-06-01 | 云南电网有限责任公司电力科学研究院 | Industry technical information collecting method and system |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111209277A (en) * | 2020-01-06 | 2020-05-29 | 北京思维造物信息科技股份有限公司 | Data processing method, device, equipment and medium |
CN111209277B (en) * | 2020-01-06 | 2023-11-24 | 北京思维造物信息科技股份有限公司 | Data processing method, device, equipment and medium |
CN111339399A (en) * | 2020-01-20 | 2020-06-26 | 腾讯科技(深圳)有限公司 | Object processing method, object processing apparatus, object processing device, and medium |
CN111680208A (en) * | 2020-04-22 | 2020-09-18 | 威比网络科技(上海)有限公司 | Cross-platform communication keyword retrieval method and device, electronic equipment and storage medium |
CN111680208B (en) * | 2020-04-22 | 2023-05-30 | 平安直通咨询有限公司 | Cross-platform communication keyword retrieval method and device, electronic equipment and storage medium |
CN112346876A (en) * | 2020-12-04 | 2021-02-09 | 山东鲁能软件技术有限公司 | Channel distribution method and system with autonomous learning characteristic |
CN112346876B (en) * | 2020-12-04 | 2023-04-18 | 山东鲁软数字科技有限公司 | Channel distribution method and system with autonomous learning characteristic |
CN113687901A (en) * | 2021-08-26 | 2021-11-23 | 海信电子科技(武汉)有限公司 | Interface display method and interface display device |
CN113687901B (en) * | 2021-08-26 | 2024-04-30 | 海信电子科技(武汉)有限公司 | Interface display method and interface display device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108694183A (en) | A kind of search method and device | |
US9582757B1 (en) | Scalable curation system | |
CN109670837A (en) | Recognition methods, device, computer equipment and the storage medium of bond default risk | |
WO2019149145A1 (en) | Compliant report class sorting method and apparatus | |
US20200167427A1 (en) | Training an artificial intelligence to generate an answer to a query based on an answer table pattern | |
CN108961032A (en) | Borrow or lend money processing method, device and server | |
CA3104242C (en) | Systems and methods for determining structured proceeding outcomes | |
CN108960574A (en) | Quality determination method, device, server and the storage medium of question and answer | |
CN108334489A (en) | Text core word recognition method and device | |
CN109213859A (en) | A kind of Method for text detection, apparatus and system | |
CN108304373A (en) | Construction method, device, storage medium and the electronic device of semantic dictionary | |
CN109684354A (en) | Data query method and apparatus | |
CN108830443A (en) | A kind of contract review method and device | |
CN114817538B (en) | Training method of text classification model, text classification method and related equipment | |
CN112132238A (en) | Method, device, equipment and readable medium for identifying private data | |
CN110262965A (en) | A kind of test method and equipment of application program | |
CN109460503A (en) | Answer input method, device, storage medium and electronic equipment | |
CN107368489A (en) | A kind of information data processing method and device | |
CN116663525A (en) | Document auditing method, device, equipment and storage medium | |
CN110032721A (en) | A kind of judgement document's method for pushing and device | |
CN117520503A (en) | Financial customer service dialogue generation method, device, equipment and medium based on LLM model | |
US11373057B2 (en) | Artificial intelligence driven image retrieval | |
CN111259975B (en) | Method and device for generating classifier and method and device for classifying text | |
US20230359827A1 (en) | Representing Confidence in Natural Language Processing | |
CN110717008B (en) | Search result ordering method and related device based on semantic recognition |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: 100080 No. 401, 4th Floor, Haitai Building, 229 North Fourth Ring Road, Haidian District, Beijing Applicant after: BEIJING GRIDSUM TECHNOLOGY Co.,Ltd. Address before: 100086 Cuigong Hotel, 76 Zhichun Road, Shuangyushu District, Haidian District, Beijing Applicant before: BEIJING GRIDSUM TECHNOLOGY Co.,Ltd. |
|
CB02 | Change of applicant information | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181023 |
|
RJ01 | Rejection of invention patent application after publication |