CN106294638A - A kind of aid decision-making method and device - Google Patents
A kind of aid decision-making method and device Download PDFInfo
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- CN106294638A CN106294638A CN201610626852.0A CN201610626852A CN106294638A CN 106294638 A CN106294638 A CN 106294638A CN 201610626852 A CN201610626852 A CN 201610626852A CN 106294638 A CN106294638 A CN 106294638A
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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
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
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Abstract
The invention discloses a kind of aid decision-making method and device, the method includes: obtain the naturally semantic Query Information of user's input；Described Query Information is carried out semantic analysis, obtains inquiry tag；In data base, search the default label mated with described inquiry tag, return the Query Result being associated with described default label.The Query Result meeting user's request can be fed directly to user by this programme, improves the search efficiency of user, and the final decision for user provides great convenience.
Description
Technical field
The present embodiments relate to computer technology, particularly relate to a kind of aid decision-making method and device.
Background technology
Along with science and technology and expanding economy, people have had higher requirement for diet.Layer is had to go out not every year in society
Poor new dining room occurs, finds the becoming of dining room really meeting oneself hobby, taste and demand in the most numerous and the most jumbled dining room
This is more and more higher.
When user has the demand eaten out, look for an applicable business if desired for looking for a dining room being suitable for appointment or needs
The dining room of business, user can search dining room by search engine or APP.User needs to take a significant amount of time and browses search knot
Fruit or user comment just can carry out final decision.The number of reviews in some dining room is huge, and user comment quality is uneven so that
User is difficult to be found the Query Result meeting self-demand by existing search engine or APP.
Summary of the invention
The invention provides a kind of aid decision-making method and device, it is possible to by the most anti-for the Query Result that meets user's request
Feed user, improves the search efficiency of user, and the final decision for user provides great convenience.
First aspect, embodiments provides a kind of aid decision-making method, including:
Obtain the naturally semantic Query Information of user's input；
Described Query Information is carried out semantic analysis, obtains inquiry tag；
Searching the default label mated with described inquiry tag in data base, return and described default label are associated
Query Result.
Second aspect, the embodiment of the present invention additionally provides a kind of aid decision device, including:
Query Information acquisition module, for obtaining the naturally semantic Query Information of user's input；
Inquiry tag determines module, for described Query Information is carried out semantic analysis, obtains inquiry tag；
Query Result determines module, for searching the default label mated with described inquiry tag in data base, returns
The Query Result being associated with described default label.
The present invention, by obtaining the naturally semantic Query Information of user's input, carries out semantic point to described Query Information
Analysis, obtains inquiry tag, searches the default label mated with described inquiry tag in data base, returns and described default label
The Query Result being associated, is solved user and is difficult to be found the inquiry meeting self-demand by existing search engine or APP
The problem of result, it is possible to the Query Result meeting user's request is fed directly to user, improves the search efficiency of user, for
The final decision of user provides great convenience.
Accompanying drawing explanation
The flow chart of the aid decision-making method that Fig. 1 provides for the embodiment of the present invention one；
The aid decision-making method that utilizes that Fig. 2 provides for the embodiment of the present invention one obtains the interface schematic diagram of Query Result；
The flow chart of the aid decision-making method that Fig. 3 provides for the embodiment of the present invention two；
The aid decision-making method that utilizes that Fig. 4 provides for the embodiment of the present invention two obtains the interface schematic diagram of Query Result；
The flow chart of the aid decision-making method that Fig. 5 provides for the embodiment of the present invention three；
The aid decision-making method that utilizes that Fig. 6 provides for the embodiment of the present invention three ejects boot options after obtaining Query Result
Interface schematic diagram；
Fig. 7 carries out the second interface schematic diagram taking turns inquiry for what the embodiment of the present invention three provided according to boot options；
The interface schematic diagram carrying out third round inquiry according to boot options that Fig. 8 provides for the embodiment of the present invention three；
The flow chart of the aid decision-making method that Fig. 9 provides for the embodiment of the present invention four；
The aid decision-making method that utilizes that Figure 10 provides for the embodiment of the present invention four provides instruction's art after obtaining Query Result
Interface schematic diagram；
The structure chart of the aid decision device that Figure 11 provides for the embodiment of the present invention five.
Detailed description of the invention
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that, in order to just
Part related to the present invention is illustrate only rather than entire infrastructure in description, accompanying drawing.
Embodiment one
The flow chart of the aid decision-making method that Fig. 1 provides for the embodiment of the present invention one, the present embodiment is applicable to user and looks into
Looking for the situation of dining in restaurant, the method can be performed by calculating equipment such as smart mobile phone, panel computer or notebook computer, tool
Body includes the following:
S101, the naturally semantic Query Information of acquisition user's input.
User can search, according to self-demand input inquiry information, the information content wanted, and common situation is: user
Wonder that the details in a certain restaurant can be scanned for by the title inputting this restaurant at Baidu's search engine, then open
The link of search feedback i.e. can obtain the content wanted, and in which, needs user to input key word accurately, search engine root
According to this key word, the data message of association is fed back to user.
Unlike foregoing teachings, obtain in this step is the Query Information of the semanteme naturally that user is inputted, and shows
Example, user can input " I wants to look for a dining room being suitable for appointment " or " I wants to look for the dining room of an applicable child ".Specifically
, this Query Information can be the Word message that user passes through keyboard typing, it is also possible to is the voice messaging that inputs of user, works as inspection
When measuring the Query Information of user input voice type, automatically this voice messaging can be converted to the Query Information of literal type.
S102, described Query Information is carried out semantic analysis, obtain inquiry tag.
The Query Information in this step got S101 carries out semantic analysis, to obtain inquiry tag.Exemplary, when
When user wants to find the dining room meeting demand, this inquiry tag can be dining room scene tag (exemplary, can be divided into suitable
Contract can scene, be suitable for the scene that child has dinner, the scene being suitable for business meeting), style of cooking label is (such as Sichuan cuisine, Guangdong dishes or Fujian
South dish), location tags (such as three li of villages, Wangjing or Beijing West Railway Station) and price tag (as cheap, economical or high-grade) etc..Exemplary
, when user's input " I wants to look for a dining room being suitable for appointment ", by " I wants to look for a dining room being suitable for appointment " is carried out
The scene tag that semantic analysis obtains is " being suitable for appointment ".
Exemplary, in semantic analysis process, Query Information can be decomposed into the field of inquiry, intention and three kinds, groove position
Element, takes different analysis methods for three kinds of different element types.Wherein, field located the scope of demand, it is intended that
Located the type of demand, groove position is accurately positioned for demand.
Concrete, when being analyzed field, the Query Information that default disaggregated model can be used to input user enters
Row classification；When intention and groove position are analyzed, the multiple handss such as Analysis of Knowledge Bases Reasoning, template matching and sequence labelling can be used
Duan Jinhang comprehensively analyzes.
S103, the default label that lookup is mated with described inquiry tag in data base, return and described default label phase
The Query Result of association.
Exemplary, the inquiry tag determined in S102 is " being suitable for appointment ", accordingly, in this step in data base
Search the default label of " being suitable for appointment ", the Query Result that this default label associates is fed back to user.Exemplary, this inquiry
Result can be to be suitable for the title in dining room, position, the pre-capita consumption amount of money, scoring and the range information etc. of appointment.Fig. 2 is the present invention
The aid decision-making method that utilizes that embodiment one provides obtains the interface schematic diagram of Query Result, as it can be seen, user's input " helps me
Ask for being suitable for the dining room of lovers' appointment ", the Query Result obtained includes " mountain taken in the Chinese ", " nine-headed bird wineshop " and " Western Hills remittance "
Deng, wherein, each dining room is all labeled with scoring, the pre-capita consumption amount of money and the range information of distance active user.
The technical scheme of the present embodiment, can carry out semantic analysis to the naturally semantic Query Information of user's input and obtain
Inquiry tag, and in data base, search the default label mated with inquiry tag, by straight for the Query Result meeting user's request
Connecing and feed back to user, improve the search efficiency of user, the final decision for user provides great convenience.
On the basis of technique scheme, search in data base the default label that mates with described inquiry tag it
Before, also include: obtain the review information of user, described review information is carried out semantic analysis to determine default label.This step
In, a large amount of review information in every dining room by getting determine default label, exemplary, when certain meal got
Comment in the Room is repeatedly mentioned " being suitable for dating ", then " appointment will be suitable for " and be defined as presetting label, and by this family dining room with " suitable
Contract meeting " label association.Concrete, preset the determination mode of label and may is that based on part of speech and syntax dependence from commenting
Opinion information extracts the set (such as " appropriate bands child object for appreciation ") of candidate's label with the complete meaning of one's words；Carry out candidate's label can use
Property positive and negative example mark, according to the language environment of candidate's label, extract Chinese language model feature, pre-based on Random Forest model
Measuring whether candidate's label can be used, such as " appropriate bands child object for appreciation " is available candidate's label that meaning of one's words expressed intact is clear and definite, can
As default label, and " being suitable for collective " is a meaning of one's words incomplete candidate's label of expression, is not suitable as presetting label.
In the association process in default label and dining room, multimode matching algorithm can be used to find pre-bidding from the review information in this dining room
Check out existing frequency, and improve, by FREQUENCY CONTROL, the confidence level that default label associates with dining room, finally determine and this is preset
Label associates with dining room.In this programme, the review information that can obtain from the information of the whole network dining room determines default label, and will be pre-
Bidding label associate with dining room, associated by default label corresponding for the inquiry tag determined from the Query Information that user inputs
Dining room information be fed directly to user, meet user's dining demand under different scenes.
On the basis of technique scheme, data base searches the default label bag mated with described inquiry tag
Include: determine inquiry field according to described Query Information；Data base under described inquiry field searches and described inquiry tag
The default label of coupling.In this step, first the inquiry field that Query Information is corresponding is determined, and in this inquiry field
Carry out inquiry tag and the coupling of default label, improve search efficiency, it is to avoid feed back to the Query Result of user and user from
The incoherent situation of body demand occurs.
Embodiment two
The flow chart of the aid decision-making method that Fig. 3 provides for the embodiment of the present invention two, the present embodiment is at the base of embodiment one
On plinth, introduce the positional information parameter of user when returning Query Result, specifically include as follows:
S201, the naturally semantic Query Information of acquisition user's input.
S202, described Query Information is carried out semantic analysis, obtain inquiry tag.
S203, the default label that lookup is mated with described inquiry tag in data base, obtain the present bit of described user
Put, according to the Query Result that current location returns and described default label is associated of described user.
When user input query information, a lot of in the case of user's not input position information, as " I wants to look for one to be suitable for
The dining room of appointment ", it does not explicitly indicate that the place in dining room of demand.In this step, search in data base and inquire about mark
After signing the default label of coupling, obtain the current location of this user further, exemplary, can be obtained by the locating module opened
Take family when prelocalization is to obtain the exact position of user.Exemplary, will Query Result immediate with user current location
Priority feedback is to user.
Concrete, during such as user's input " I wants to look for a dining room being suitable for appointment ", the position getting user current is
At San Litun, then preferentially return to use by the Query Result associated by the default label meeting " being suitable for appointment " near three li of villages
Family.
The aid decision-making method that utilizes that Fig. 4 provides for the embodiment of the present invention two obtains the interface schematic diagram of Query Result, as
Shown in Fig. 4, user inputs " helping me to look for a nearest seabed to drag for ", now, the Query Result of return for " seabed drag for chaffy dish (on
Ground branch) ", " chaffy dish (ten thousand willow branch) is dragged in seabed " and " chaffy dish (branch, Da Zhongsi) is dragged in seabed ", Query Result Chinese Restaurant away from
The position at family is from the close-by examples to those far off arranged in order, and distance is respectively " 3.6 ", " 8.1km " and " 10km ".
The technical scheme of the present embodiment, by obtaining the current location of user, returns and institute according to the current location of user
State the Query Result that default label is associated, it is to avoid the situation needing user's input position information just can carry out inquiring about occurs,
Query Result is made to more conform to user's request.
On the basis of technique scheme, S203 can also is that to search in data base and mates with described inquiry tag
Presetting label, obtain the position of described user input, the position inputted according to described user returns relevant with described default label
The Query Result of connection.In this step, when user inputs ad-hoc location, then the position inputted according to this user returns and pre-bidding
Sign the Query Result that is associated, it is preferred that the position of the positional distance user input of the Query Result Chinese Restaurant of return by near and
Remote arrangement recommends user, to meet the inquiry that user has dinner in different location.
Embodiment three
The flow chart of the aid decision-making method that Fig. 5 provides for the embodiment of the present invention three, the present embodiment is in the various embodiments described above
On the basis of give a kind of further auxiliary user's decision-making method, specifically include as follows:
S301, the naturally semantic Query Information of acquisition user's input.
S302, described Query Information is carried out semantic analysis, obtain inquiry tag.
S303, the default label that lookup is mated with described inquiry tag in data base, return and described default label phase
The Query Result of association.
S304, eject boot options, click on for described user, and according to the click on content of described user or input information
Return next round Query Result.
The aid decision-making method that utilizes that Fig. 6 provides for the embodiment of the present invention three ejects boot options after obtaining Query Result
Interface schematic diagram, as it can be seen, after returning Query Result for user (" mountain taken in the Chinese ", " nine-headed bird wineshop " and " Western Hills remittance "),
Eject " choosing an individual commercial circle ", " a choosing price ", " a choosing style of cooking ", " these cuisines necessary are local " in bottom, " those good sound stays field
Bar " and the boot options of " Royal Park cuisines map ", user can click accordingly according to self-demand or input new looking into
Inquiry information is accurately inquired about to carry out next round.
Fig. 7 carries out the second interface schematic diagram taking turns inquiry for what the embodiment of the present invention three provided according to boot options, such as figure
Shown in, the boot options of the with good grounds ejection of user, have input the Query Information of " choosing a commercial circle ", now, eject accordingly in bottom
Optional commercial circle, including " at will ", " Wangjing ", " Zhong Guan-cun ", " San Litun " etc..Fig. 8 provides for the embodiment of the present invention three
The interface schematic diagram of third round inquiry is carried out, when after user's input " San Litun ", then returning near three inner villages according to boot options
Dining room " sit forgets Lijing theme dining room ", " website Piza " and " great Dong " etc..
The technical scheme of the present embodiment, by ejecting boot options, clicks on for described user, and according to described user's
Click on content or input information return next round Query Result, guide the inquiry content of user, to help user the
One time found the Query Result meeting self-demand.
Embodiment four
The flow chart of the aid decision-making method that Fig. 9 provides for the embodiment of the present invention four, the present embodiment is in the various embodiments described above
On the basis of, give a kind of method that further help user carries out inquiring about, specifically include as follows:
S401, the naturally semantic Query Information of acquisition user's input.
S402, described Query Information is carried out semantic analysis, obtain inquiry tag.
S403, the default label that lookup is mated with described inquiry tag in data base, return and described default label phase
The Query Result of association.
S404, click on content according to described naturally semantic Query Information and described user determine instruction's art, and will
Described instruction's art feeds back to described user.
The aid decision-making method that utilizes that Figure 10 provides for the embodiment of the present invention four provides instruction's art after obtaining Query Result
Interface schematic diagram, as it can be seen, according to " the helping me to ask for being suitable for the dining room of lovers' appointment " of front user input, " choose
Commercial circle " and " San Litun " give instruction's art " have near three inner villages which be suitable for lovers appointment restaurant ", when user again
When using inquiry, the Query Result of needs can be obtained by instruction's art that input is recommended accurately, improve search efficiency.
Embodiment five
The structure chart of the aid decision device that Figure 11 provides for the embodiment of the present invention five, specifically includes:
Query Information acquisition module 1, for obtaining the naturally semantic Query Information of user's input；
Inquiry tag determines module 2, for described Query Information is carried out semantic analysis, obtains inquiry tag；
Query Result determines module 3, for searching the default label mated with described inquiry tag in data base, returns
The Query Result being associated with described default label.
The technical scheme of the present embodiment, can carry out semantic analysis to the naturally semantic Query Information of user's input and obtain
Inquiry tag, and in data base, search the default label mated with inquiry tag, by straight for the Query Result meeting user's request
Connecing and feed back to user, improve the search efficiency of user, the final decision for user provides great convenience.
On the basis of technique scheme, also include:
Default label determines module, for obtaining the review information of user, described review information is carried out semantic analysis with
Determine default label.
On the basis of technique scheme, described Query Result determine module 3 specifically for:
Inquiry field is determined according to described Query Information；
Data base under described inquiry field searches the default label mated with described inquiry tag.
On the basis of technique scheme, described Query Result determine module 3 specifically for:
Obtain the current location of described user, return according to the current location of described user and described default label is associated
Query Result；Or
Obtaining the position of described user input, the position inputted according to described user returns and described default label is associated
Query Result.
On the basis of technique scheme, also include:
Guide module, be used for ejecting boot options, click on for described user, and according to the click on content of described user or
Input information returns next round Query Result.
On the basis of technique scheme, also include:
Instruct module, for determining instruction according to the click on content of described naturally semantic Query Information and described user
Art, and described instruction's art is fed back to described user.
On the basis of technique scheme, described Query Result include the title in dining room, position, the pre-capita consumption amount of money,
At least one in scoring and range information.
On the basis of technique scheme, described default label includes the scene tag in dining room, style of cooking label, position mark
Sign and at least one in price tag.
The said goods can perform the method that any embodiment of the present invention is provided, and possesses the corresponding functional module of execution method
And beneficial effect.
Note, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious change,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although by above example, the present invention is carried out
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other Equivalent embodiments more can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (14)
1. an aid decision-making method, it is characterised in that including:
Obtain the naturally semantic Query Information of user's input；
Described Query Information is carried out semantic analysis, obtains inquiry tag；
In data base, search the default label mated with described inquiry tag, return the inquiry being associated with described default label
Result.
Method the most according to claim 1, it is characterised in that search pre-with what described inquiry tag mated in data base
Before bidding label, also include:
Obtain the review information of user, described review information is carried out semantic analysis to determine default label.
Method the most according to claim 1, it is characterised in that search pre-with what described inquiry tag mated in data base
Bidding label include:
Inquiry field is determined according to described Query Information；
Data base under described inquiry field searches the default label mated with described inquiry tag.
Method the most according to claim 1, it is characterised in that return the Query Result bag being associated with described default label
Include:
Obtain the current location of described user, according to current location return and the looking into that described default label is associated of described user
Ask result；Or
Obtaining the position of described user input, what the position return inputted according to described user and described default label were associated looks into
Ask result.
5. according to the method according to any one of claim 1-4, it is characterised in that be associated with described default label returning
Query Result after, also include:
Eject boot options, click on for described user, and the click on content or input information according to described user returns next
Wheel Query Result.
Method the most according to claim 5, it is characterised in that at the Query Result returned and described default label is associated
After, also include:
Instruction's art is determined according to the click on content of described naturally semantic Query Information and described user, and by described instruction
Art feeds back to described user.
7. according to the method according to any one of claim 1-4, it is characterised in that described Query Result includes the name in dining room
At least one in title, position, the pre-capita consumption amount of money, scoring and range information.
8. according to the method according to any one of claim 1-4, it is characterised in that described inquiry tag and default label include
At least one in the scene tag in dining room, style of cooking label, location tags and price tag.
9. an aid decision device, it is characterised in that including:
Query Information acquisition module, for obtaining the naturally semantic Query Information of user's input；
Inquiry tag determines module, for described Query Information is carried out semantic analysis, obtains inquiry tag；
Query Result determines module, for searching the default label mated with described inquiry tag in data base, returns and institute
State the Query Result that default label is associated.
Device the most according to claim 9, it is characterised in that also include:
Default label determines module, for obtaining the review information of user, described review information carries out semantic analysis to determine
Preset label.
11. devices according to claim 9, it is characterised in that described Query Result determine module specifically for:
Inquiry field is determined according to described Query Information；
Data base under described inquiry field searches the default label mated with described inquiry tag.
12. devices according to claim 9, it is characterised in that described Query Result determine module specifically for:
Obtain the current location of described user, according to current location return and the looking into that described default label is associated of described user
Ask result；Or
Obtaining the position of described user input, what the position return inputted according to described user and described default label were associated looks into
Ask result.
13. according to the device according to any one of claim 9-12, it is characterised in that also include:
Guide module, be used for ejecting boot options, click on for described user, and according to the click on content of described user or input
Information returns next round Query Result.
14. devices according to claim 13, it is characterised in that also include:
Instruct module, for determining instruction's art according to the click on content of described naturally semantic Query Information and described user,
And described instruction's art is fed back to described user.
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| CN107590246A (en) * | 2017-09-15 | 2018-01-16 | 百度在线网络技术（北京）有限公司 | Method and apparatus for pushed information |
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