CN107562866A - Matching process and device based on user's request - Google Patents
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Abstract
The present invention relates to a kind of matching process and device based on user's request, methods described includes：Gather the demand of user；The demand of the user is inputted to default value database, the value database and is used to generate the solution to match with the demand；The optimal solution to be matched according to the value database generation with the demand；The optimal solution is fed back into the user.The present invention can provide corresponding solution for the demand of user in time in customization services, and meet the needs of user, the efficiency of lifting customization service.
Description
Technical field
The present invention relates to data processing field, more particularly to a kind of matching process and device for solving user's request.
Background technology
What the concept of individual's customization had been covered the sky and the earth appears in industry-by-industry, especially tourism and apparel industry.It is several
Major high-end tourism organization can all release customized type service, but the demand that the primary work customized is user to be solved is asked
Topic.Only on the premise of user's request is fully understood by, more preferable, more accurate and more valuable service can be just provided.
But server, including service organization and individual at present, the demand of user can not be obtained in time, and is obtained
The demand of user is generally relatively simple, but the demand of user in change in, therefore, it is necessary in time obtain user dynamic
Demand.In addition, also generality can not provide reliable solution to server for the demand of user in time.
The content of the invention
Based on this, it is necessary to the problem of at present solution can not be provided for the demand of user in time, there is provided a kind of
Matching process and device based on user's request.
A kind of matching process based on user's request, methods described include：
Gather the demand of user；
The demand of the user is inputted to default value database, the value database and is used to generate and the need
Seek the solution to match；
The optimal solution to be matched according to the value database generation with the demand；
The optimal solution is fed back into the user.
Further, methods described also includes：
Build user's portrait and user is worth collection of illustrative plates, user's portrait includes dynamic user's request, user's valency
Value collection of illustrative plates includes the user profile for being used to solve the solution of corresponding user's request that user provides；
The user's request and the solution method are stored to database and generate the default value database.
Further, the structure user portrait, including：
The demand of different user is classified；
The demand of user dynamically increase or delete in catalogue after sorting.
Further, the optimal solution to be matched according to the value database generation with the demand, bag
Include：
For the user demand establish corresponding at least one label,
Optimal solution is calculated in described be worth in database by default computation model according to the label.
Further, methods described also includes：
Detect whether to generate the optimal solution；
If it is not, the demand then is inputted into public demands pond, the public demands pond, which is used to store, to be needed to be carried by third party
For the demand of corresponding solution；
Detect whether to receive the solution corresponding with the demand provided by third party；
If so, the solution is then fed back into the user.
Further, it is described that the optimal solution is fed back into the user, including：
Default feedback strategy is obtained, the feedback strategy comprises at least the time to user feedback；
The optimal solution is fed back to by the user according to the feedback time.
A kind of coalignment based on user's request, described device include：
Acquisition module, for gathering the demand of user；
Input module, used for the demand of the user to be inputted to default value database, the value database
In the solution that generation matches with the demand；
Generation module, for the optimal solution to be matched according to the value database generation with the demand；
Feedback module, for the optimal solution to be fed back into the user.
Further, described device also includes：
Module is built, is worth collection of illustrative plates for building user's portrait and user, user's portrait, which includes dynamic user, to be needed
Ask, the user, which is worth collection of illustrative plates, includes the user profile for being used to solve the solution of corresponding user's request that user provides；
Memory module, the default valency is generated for the user's request and the solution method to be stored to database
Value Data storehouse.
Further, the structure user portrait, including：
The demand of different user is classified；
The demand of user dynamically increase or delete in catalogue after sorting.
Further, the generation module, including：
Establish unit, for for the user demand establish corresponding at least one label,
Computing unit, for being calculated most in described be worth in database by default computation model according to the label
Excellent solution.
In method and device described above based on user's request, the demand of the user of collection can be inputted to default
Database, the optimal solution that generation matches with the demand are worth, and the optimal solution is fed back into user, from
And corresponding solution can be provided for the demand of user in time in customization services, meet the needs of user, lifting customization
The efficiency of service.
Brief description of the drawings
Fig. 1 is the flow chart of a matching process based on user's request implemented；
Fig. 2 is the flow chart of the matching process based on user's request of another embodiment；
Fig. 3 is the structure chart of the coalignment based on user's request of an embodiment.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
As shown in figure 1, the matching process based on user's request of an embodiment, including step S120 to step S140.
Step S110, gather the demand of user；
Step S120, the demand of user is inputted to default value database, value database is used to generate and demand
The solution to match；
Step S130, the optimal solution to be matched according to value database generation with demand；
Step S140, optimal solution is fed back into user.
In method described above based on user's request, the demand of the user of collection can be inputted to default value number
The optimal solution to match according to storehouse, generation with the demand, and the optimal solution is fed back into user, so as to fixed
Corresponding solution can be provided for the demand of user in time in uniform business, meet the needs of user, lifting customization service
Efficiency.
Wherein, the different demands that the demand of the present embodiment meaning user may need for user in private customization service, example
Such as, to sight spot, the requirement etc. of route including in tourism, to the requirement etc. of color, style in custom made clothing, here, the present embodiment
Do not enumerate.Current embodiment require that, it is noted that the demand in the present embodiment is that can be according to content described in the present embodiment
User provides the demand of corresponding solution.
In the present embodiment, multiple channel can be passed through by gathering the demand of user.Especially, the present embodiment is preferably by following
Channel gathers the demand of user：
Interview under line：Basic understanding is carried out by the SOP standard census schedule single pairs user of custom-made；
Active organization：By the activity of special project, user's request is supplemented in links such as active conversation, question and answer；
Online house keeper links up：By the exclusive service of 13 advanced customizations, the different views and demand of user are understood；
Various dimensions point selecting technology：Such as interest, motion, health, fashion, life, education, consulting, technology, investment, tourism,
Multiple demand dimensions such as lease, leisure, house, release click figure, and user need not fill in, and directly select requirement item corresponding to oneself
Data acquisition；
Thematic questionnaire investigation：Different questionnaires is customized to the point of interest of user, further captures data；
Demand is independently issued：After user finishes watching the demand portrait of oneself, the passage that is supplemented；
Daily question and answer：By the collection of knowledge point, the subtle understanding user's request of hommization；
Browse vestige：Big data intelligent acquisition and excavation demand.
It is pointed out that the method for collection user's request is the certain methods that the present embodiment has used above, this
Embodiment is not limited to change such scheme accordingly or take different schemes, to gather the demand of user.
Wherein, in another embodiment of the present embodiment, the matching process based on user's request also includes：
Build user's portrait and user is worth collection of illustrative plates, user's portrait includes dynamic user's request, and user is worth collection of illustrative plates bag
The user profile that can be used for solving the solution of corresponding user's request of user's offer is provided；
User's request and solution method are stored to database and generate default value database.
Wherein, it is the term in private customization that user's portrait and user described in the present embodiment, which are worth collection of illustrative plates, wherein, user
Portrait can define or be interpreted as the dynamic need list of user, and that includes the various demands of the user gathered.User
Value collection of illustrative plates can define or be interpreted as it and include the various information of user, and this information is used to generate the demand of user
Solution.
Wherein, user's portrait is built, including：
The demand of different user is classified；
The demand of user dynamically increase or delete in catalogue after sorting.
For the demand of the user of collection, can be classified accordingly.For example, classified from broadest scope, demand
It is probably the difficulty of oneself, it may be possible to fund, it may be possible to enterprise operation, it may be possible to emotion, it may be possible to education etc..From narrow sense
Angle is classified, such as clothes, demand can be oneself desired style, cloth, color, cuff material, number etc.
Deng.In the present embodiment, drawn a portrait for user, can also transmit to user oneself and be preserved, user can also increase according to classification
Add or delete corresponding demand, realize the dynamic adjustment of user's request.
In the present embodiment, user is worth collection of illustrative plates, can be the technical ability that user oneself grasps, what oneself can be serviced for other people
Ability, oneself once ran into and succeeded the case solved, the honor of oneself, oneself experience and gains in depth of comprehension etc..In the present embodiment,
User is worth the following information that collection of illustrative plates comprises at least user：
Basic document：Essential information, education degree, attend school specialty etc.
Experience is shared：Place community circle, recommended book, film, time planning, fund planning etc.
Successful case：Enterprise's start-up capital, Enterprise Plight break through practical operation, training case etc.
Foundational skills：The technical ability (negotiation, translation, musical instrument, buying, consulting, finance etc.) that oneself is grasped
In a word, user, which is worth collection of illustrative plates, will include user's possessed items ability as much as possible, and this ability is preferentially used for
Or serve and provide solution for the demand of other users.
Further, in the present embodiment, step S130 generates the optimal solution to match with demand according to value database
Scheme, including：
For user demand establish corresponding at least one label,
Optimal solution in database is worth is calculated by default computation model according to label.
Wherein, for the demand of user, there can be multiple labels.For example, for clothes demand, can have sex,
The various demands such as style, color, these demands can establish corresponding label, such as be used with male, European, black tag representation
The demand at family.Here, the present embodiment does not enumerate.
Computation model described in the present embodiment can be at least one in following algorithm, including：Decision tree：There is provided for people
Decision-making foundation；Naive Bayes Classifier：The mainly detection of junk information, information classification etc.；Least square method：Precisely need to
Summation value is matched；Clustering algorithm：One heap data is handled, data clustered etc. according to similitude.
Further, the label that the present embodiment can be established is stored in into corresponding array respectively, using these arrays as
The pond that condition is thrown to where value database, and can find out optimal solution according to above-mentioned computation model.
Further, as shown in Fig. 2 in the present embodiment, the matching process based on user's request also includes：
Step S150, detect whether to generate optimal solution；
Step S160, if it is not, demand then is inputted into public demands pond, public demands pond, which is used to store, to be needed to be carried by third party
For the demand of corresponding solution；
Step S170, detect whether to receive the solution corresponding with demand provided by third party；
Step S180, if so, solution then is fed back into user.
When generating optimal solution by step S130, it is necessary to further detect whether to generate the optimal solution party
Case.
In the present embodiment, optimal solution is the preferred plan for solving user's request.For example, the clothes demand for user
A kind of optimal design provided, including color, style etc..
It can not be to use that public demands pond, which can be defined or be interpreted as in private customization by big data or more computation model,
The demand at family calculates the demand of optimal solution, and these demands will be stored uniformly to public demands pond, and by the 3rd
Side provides service, and third party can be tourism organization, custom made clothing mechanism etc., and its user is in the particular demands for solving user.
Wherein, when the demand of user is by third party settlement and after provide corresponding solution, you can by the solution
It is supplied to user.
Further, in the present embodiment, optimal solution is fed back into user, including：
Default feedback strategy is obtained, feedback strategy comprises at least the time to user feedback；
Optimal solution is fed back to by user according to feedback time.
Wherein, feedback time is one kind that feedback strategy includes, and other feedback strategies can also be set anti-to user
Present optimal solution.
As shown in figure 3, the present embodiment additionally provides a kind of coalignment based on user's request, including：
Acquisition module 110, for gathering the demand of user；
Input module 120, it is used to generate for the demand of user to be inputted to default value database, value database
The solution to match with demand；
Generation module 130, for the optimal solution to be matched according to value database generation with demand；
Feedback module 140, for optimal solution to be fed back into user.
In device described above based on user's request, the demand of the user of collection can be inputted to default value number
The optimal solution to match according to storehouse, generation with the demand, and the optimal solution is fed back into user, so as to fixed
Corresponding solution can be provided for the demand of user in time in uniform business, meet the needs of user, lifting customization service
Efficiency.
Wherein, the different demands that the demand of the present embodiment meaning user may need for user in private customization service, example
Such as, to sight spot, the requirement etc. of route including in tourism, to the requirement etc. of color, style in custom made clothing, here, the present embodiment
Do not enumerate.Current embodiment require that, it is noted that the demand in the present embodiment is that can be according to content described in the present embodiment
User provides the demand of corresponding solution.
In the present embodiment, multiple channel can be passed through by gathering the demand of user.Especially, the present embodiment is preferably by following
Channel gathers the demand of user：
Interview under line：Basic understanding is carried out by the SOP standard census schedule single pairs user of custom-made；
Active organization：By the activity of special project, user's request is supplemented in links such as active conversation, question and answer；
Online house keeper links up：By the exclusive service of 13 advanced customizations, the different views and demand of user are understood；
Various dimensions point selecting technology：Such as interest, motion, health, fashion, life, education, consulting, technology, investment, tourism,
Multiple demand dimensions such as lease, leisure, house, release click figure, and user need not fill in, and directly select requirement item corresponding to oneself
Data acquisition；
Thematic questionnaire investigation：Different questionnaires is customized to the point of interest of user, further captures data；
Demand is independently issued：After user finishes watching the demand portrait of oneself, the passage that is supplemented；
Daily question and answer：By the collection of knowledge point, the subtle understanding user's request of hommization；
Browse vestige：Big data intelligent acquisition and excavation demand.
It is pointed out that the method for collection user's request is the certain methods that the present embodiment has used above, this
Embodiment is not limited to change such scheme accordingly or take different schemes, to gather the demand of user.
Wherein, in another embodiment of the present embodiment, the coalignment based on user's request also includes：
Module is built, is worth collection of illustrative plates for building user's portrait and user, user's portrait includes dynamic user's request, used
Family value collection of illustrative plates includes the user profile that can be used for solving the solution of corresponding user's request that user provides；
Memory module, default value database is generated for user's request and solution method to be stored to database.
Wherein, it is the term in private customization that user's portrait and user described in the present embodiment, which are worth collection of illustrative plates, wherein, user
Portrait can define or be interpreted as the dynamic need list of user, and that includes the various demands of the user gathered.User
Value collection of illustrative plates can define or be interpreted as it and include the various information of user, and this information is used to generate the demand of user
Solution.
Wherein, user's portrait is built, including：
The demand of different user is classified；
The demand of user dynamically increase or delete in catalogue after sorting.
For the demand of the user of collection, can be classified accordingly.For example, classified from broadest scope, demand
It is probably the difficulty of oneself, it may be possible to fund, it may be possible to enterprise operation, it may be possible to emotion, it may be possible to education etc..From narrow sense
Angle is classified, such as clothes, demand can be oneself desired style, cloth, color, cuff material, number etc.
Deng.In the present embodiment, drawn a portrait for user, can also transmit to user oneself and be preserved, user can also increase according to classification
Add or delete corresponding demand, realize the dynamic adjustment of user's request.
In the present embodiment, user is worth collection of illustrative plates, can be the technical ability that user oneself grasps, what oneself can be serviced for other people
Ability, oneself once ran into and succeeded the case solved, the honor of oneself, oneself experience and gains in depth of comprehension etc..In the present embodiment,
User is worth the following information that collection of illustrative plates comprises at least user：
Basic document：Essential information, education degree, attend school specialty etc.
Experience is shared：Place community circle, recommended book, film, time planning, fund planning etc.
Successful case：Enterprise's start-up capital, Enterprise Plight break through practical operation, training case etc.
Foundational skills：The technical ability (negotiation, translation, musical instrument, buying, consulting, finance etc.) that oneself is grasped
In a word, user, which is worth collection of illustrative plates, will include user's possessed items ability as much as possible, and this ability is preferentially used for
Or serve and provide solution for the demand of other users.
Further, in the present embodiment, generation module 130 includes：
Establish unit, for for user demand establish corresponding at least one label,
Computing unit, for calculating optimal solution certainly side in database is worth by default computation model according to label
Case.
Wherein, for the demand of user, there can be multiple labels.For example, for clothes demand, can have sex,
The various demands such as style, color, these demands can establish corresponding label, such as be used with male, European, black tag representation
The demand at family.Here, the present embodiment does not enumerate.
Computation model described in the present embodiment can be at least one in following algorithm, including：Decision tree：There is provided for people
Decision-making foundation；Naive Bayes Classifier：The mainly detection of junk information, information classification etc.；Least square method：Precisely need to
Summation value is matched；Clustering algorithm：One heap data is handled, data clustered etc. according to similitude.
Further, the label that the present embodiment can be established is stored in into corresponding array respectively, using these arrays as
The pond that condition is thrown to where value database, and can find out optimal solution according to above-mentioned computation model.
Further, in the present embodiment, the coalignment based on user's request also includes：
Detect whether to generate optimal solution；
If it is not, demand then is inputted into public demands pond, public demands pond, which is used to store, to be needed to provide homographic solution by third party
The certainly demand of scheme；
Detect whether to receive the solution corresponding with demand provided by third party；
If so, solution is then fed back into user.
When generating optimal solution by generation module 130, it is necessary to further detect whether to generate the optimal solution
Scheme.
In the present embodiment, optimal solution is the preferred plan for solving user's request.For example, the clothes demand for user
A kind of optimal design provided, including color, style etc..
It can not be to use that public demands pond, which can be defined or be interpreted as in private customization by big data or more computation model,
The demand at family calculates the demand of optimal solution, and these demands will be stored uniformly to public demands pond, and by the 3rd
Side provides service, and third party can be tourism organization, custom made clothing mechanism etc., and its user is in the particular demands for solving user.
Wherein, when the demand of user is by third party settlement and after provide corresponding solution, you can by the solution
It is supplied to user.
Further, in the present embodiment, optimal solution is fed back into user, including：
Default feedback strategy is obtained, feedback strategy comprises at least the time to user feedback；
Optimal solution is fed back to by user according to feedback time.
Wherein, feedback time is one kind that feedback strategy includes, and other feedback strategies can also be set anti-to user
Present optimal solution.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, the scope that this specification is recorded all is considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously
Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that come for one of ordinary skill in the art
Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of matching process based on user's request, it is characterised in that methods described includes：
Gather the demand of user；
The demand of the user is inputted to default value database, the value database and is used to generate and the demand phase
The solution of matching；
The optimal solution to be matched according to the value database generation with the demand；
The optimal solution is fed back into the user.
2. according to the method for claim 1, it is characterised in that methods described also includes：
Build user's portrait and user is worth collection of illustrative plates, user's portrait includes dynamic user's request, and the user is worth figure
Spectrum includes the user profile for being used to solve the solution of corresponding user's request of user's offer；
The user's request and the solution method are stored to database and generate the default value database.
3. according to the method for claim 2, it is characterised in that the structure user portrait, including：
The demand of different user is classified；
The demand of user dynamically increase or delete in catalogue after sorting.
4. according to the method for claim 1, it is characterised in that described according to the value database generation and the demand
The optimal solution to match, including：
For the user demand establish corresponding at least one label,
Optimal solution is calculated in described be worth in database by default computation model according to the label.
5. according to the method for claim 1, it is characterised in that methods described also includes：
Detect whether to generate the optimal solution；
If it is not, the demand then is inputted into public demands pond, the public demands pond, which is used to store, to be needed by third party's offer pair
Answer the demand of solution；
Detect whether to receive the solution corresponding with the demand provided by third party；
If so, the solution is then fed back into the user.
6. according to the method described in claim any one of 1-5, it is characterised in that described to feed back to the optimal solution
The user, including：
Default feedback strategy is obtained, the feedback strategy comprises at least the time to user feedback；
The optimal solution is fed back to by the user according to the feedback time.
7. a kind of coalignment based on user's request, it is characterised in that described device includes：
Acquisition module, for gathering the demand of user；
Input module, it is used to give birth to for the demand of the user to be inputted to default value database, the value database
Into the solution to match with the demand；
Generation module, for the optimal solution to be matched according to the value database generation with the demand；
Feedback module, for the optimal solution to be fed back into the user.
8. device according to claim 7, it is characterised in that described device also includes：
Module is built, is worth collection of illustrative plates for building user's portrait and user, user's portrait includes dynamic user's request, institute
State user and be worth the user profile for being used to solve the solution of corresponding user's request that collection of illustrative plates provides including user；
Memory module, the default value number is generated for the user's request and the solution method to be stored to database
According to storehouse.
9. device according to claim 8, it is characterised in that the structure user portrait, including：
The demand of different user is classified；
The demand of user dynamically increase or delete in catalogue after sorting.
10. device according to claim 7, it is characterised in that the generation module, including：
Establish unit, for for the user demand establish corresponding at least one label,
Computing unit, for calculating optimal solution in described be worth in database by default computation model according to the label
Certainly scheme.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190022A (en) * | 2018-08-15 | 2019-01-11 | 深圳快购科技有限公司 | The recommended method and system of film creator in chief |
| CN109241435A (en) * | 2018-09-18 | 2019-01-18 | 海南新软软件有限公司 | It is a kind of for digital cash transaction data push method, apparatus and system |
| CN109684466A (en) * | 2019-01-04 | 2019-04-26 | 钛氧(上海)教育科技有限公司 | A kind of intellectual education advisor system |
| CN112347343A (en) * | 2020-09-25 | 2021-02-09 | 北京淇瑀信息科技有限公司 | Customized information pushing method and device and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150228033A1 (en) * | 2014-02-12 | 2015-08-13 | Frederic Zenhausern | Portraying an individual through use of artifacts for social networking and playing |
| CN105608171A (en) * | 2015-12-22 | 2016-05-25 | 青岛海贝易通信息技术有限公司 | User portrait construction method |
| CN106022722A (en) * | 2016-05-18 | 2016-10-12 | 广东源恒软件科技有限公司 | Talent recommendation platform |
| CN106127522A (en) * | 2016-06-29 | 2016-11-16 | 苏州迈科网络安全技术股份有限公司 | Dig based on network data and analyze method and system according to the enterprise management condition of technology |
-
2017
- 2017-08-30 CN CN201710763381.2A patent/CN107562866A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150228033A1 (en) * | 2014-02-12 | 2015-08-13 | Frederic Zenhausern | Portraying an individual through use of artifacts for social networking and playing |
| CN105608171A (en) * | 2015-12-22 | 2016-05-25 | 青岛海贝易通信息技术有限公司 | User portrait construction method |
| CN106022722A (en) * | 2016-05-18 | 2016-10-12 | 广东源恒软件科技有限公司 | Talent recommendation platform |
| CN106127522A (en) * | 2016-06-29 | 2016-11-16 | 苏州迈科网络安全技术股份有限公司 | Dig based on network data and analyze method and system according to the enterprise management condition of technology |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109190022A (en) * | 2018-08-15 | 2019-01-11 | 深圳快购科技有限公司 | The recommended method and system of film creator in chief |
| CN109241435A (en) * | 2018-09-18 | 2019-01-18 | 海南新软软件有限公司 | It is a kind of for digital cash transaction data push method, apparatus and system |
| CN109684466A (en) * | 2019-01-04 | 2019-04-26 | 钛氧(上海)教育科技有限公司 | A kind of intellectual education advisor system |
| CN109684466B (en) * | 2019-01-04 | 2023-10-13 | 钛氧(上海)教育科技有限公司 | Intelligent education advisor system |
| CN112347343A (en) * | 2020-09-25 | 2021-02-09 | 北京淇瑀信息科技有限公司 | Customized information pushing method and device and electronic equipment |
| CN112347343B (en) * | 2020-09-25 | 2024-05-28 | 北京淇瑀信息科技有限公司 | Custom information pushing method and device and electronic equipment |
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