CN110335077A - Merchant recommendation method and device - Google Patents
Merchant recommendation method and device Download PDFInfo
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- CN110335077A CN110335077A CN201910591014.8A CN201910591014A CN110335077A CN 110335077 A CN110335077 A CN 110335077A CN 201910591014 A CN201910591014 A CN 201910591014A CN 110335077 A CN110335077 A CN 110335077A
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0281—Customer communication at a business location, e.g. providing product or service information, consulting
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0282—Rating or review of business operators or products
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Abstract
The invention discloses a kind of merchant recommendation method and devices, belong to terminal and information technology field, and method includes: step S1, carry out demand identification to user, and export a recognition result；Step S2 determines recommendation according to recognition result；Step S3 determines target Business Information according to recommendation；Target Business Information is shown by step S4 to corresponding user.Device includes: input module, identification module, recommending module, generation module, display module；The information that technical solution of the present invention passes through comprehensive acquisition active user, demand to user carries out Forecasting recognition, and corresponding businessman's recommendation information is exported according to Forecasting recognition result and is selected for user, substantially increase service quality and the usage experience of user, and without being equipped with special messenger, manpower has been saved, has solved the confinement problems of manual service.
Description
Technical field
The present invention relates to terminal and information technology field more particularly to a kind of merchant recommendation method and devices.
Background technique
In actual life, if its form of shopping mall either complex business building composition whole or by
The aggregative collection realm commercial center of dry aedicula all is necessarily required to pass through due to its internal businessman is laid out numerous and complicated
Certain customer service facilities are set to provide certain guide, navigation and merchant recommendation service for customer.In the prior art,
Mainly provide above-mentioned service by three classes facility: the first kind is customer service center, is generally arranged at the stream of people in shopping center
Close quarters are furnished with special attendant, provide all kinds of counseling services to customer；Second class is businessman's distributed intelligence bulletin
Column is generally disposed at the positions such as lift port, shopping center entrance, is arranged in the form of lamp box, for that will enter shopping center
Customer provides static map and guides service；Third class is each floor classification announcement board in shopping center, is set to elevator or building more
Ladder way, for indicating to the user that the merchandise classification information of different floors.However, above-mentioned three classes service facility respectively has the excellent of oneself to lack
Point, although customer service center service function is very perfect, the service point that there is setting is less, each service point requires to match
Set specialist service personnel, customer it is more when service quality straight line the disadvantages of declining, other two classes service facilities can only then provide quiet
The path of state or classification guide service, and function is more single.
Summary of the invention
According to the above-mentioned problems in the prior art, a kind of merchant recommendation method and device, this method and dress are now provided
The information by comprehensive acquisition active user is set, the demand to user carries out Forecasting recognition, and defeated according to Forecasting recognition result
Corresponding businessman's recommendation information is selected for user out.
Above-mentioned technical proposal specifically includes:
A kind of merchant recommendation method, which is characterized in that the recommended method specifically includes:
Step S1, identifies user demand, and exports a recognition result；
Step S2 determines recommendation according to the recognition result；
Step S3 determines target Business Information according to the recommendation；
The target Business Information is shown by step S4 to corresponding user.
Preferably, wherein further include in the step S3, by least one target businessman in the target Business Information
As current businessman.
Preferably, wherein when the quantity of the target businessman in the target Business Information is 1, by the target businessman
As current businessman.
Preferably, wherein when the quantity of the target businessman in the target Business Information is greater than 1, according to preset rules
The target Business Information is ranked up, and using ranking in ranking results near preceding at least one target businessman as current
Businessman.
Preferably, wherein in the step S4 further include: preferentially show the current businessman in the target businessman
To the user.
Preferably, wherein the preset rules include:
It is ranked up according to the matching degree of target businessman and user demand, matching degree is higher, and sequence is more forward；And/or
It is ranked up at a distance from user current location according to target businessman, distance is closer, and sequence is more forward；And/or
Reaching according to ownership goal businessman needs the reference time spent to be ranked up, and the reference time, shorter sequence was more leaned on
Before；And/or
It is ranked up according to the degree of crowding of target businessman, the degree of crowding is lower, and sequence is more forward；And/or
It is ranked up according to the self attributes of target businessman, attribute value is higher, and sequence is more forward.
Preferably, wherein the self attributes include: one in customer evaluation, area of business, sales volume and customer quantity
Kind is a variety of.
Preferably, wherein the step S4 further include: according to building information and user location where the current businessman
User described in information planning opens up in the path that planning obtains to corresponding user to the path of the current businessman
Show.
Preferably, wherein the step S1 further includes providing one first operation interface to receive user's operation, according to
The user's operation identifies user demand.
Preferably, wherein the user's operation includes:
The time that user is operated；And/or
The band of position that user is operated；And/or
Operate the attribute of user.
Preferably, wherein it is described operation user attribute include: the age, gender, Canopy structure, belongings, expression,
One of mood, action modes, dressing and language are a variety of.
Preferably, wherein all Business Information are corresponded to the key word character of the recommendation according at least one in advance
Duan Jinhang classification.
Preferably, wherein the step S1 further include: one second operation interface is provided, the identification is tied for the user
Fruit is confirmed or is modified.
Preferably, wherein the step S3 further include: provide a third operation interface for user to the recommendation,
One or more in the target Business Information, the current businessman and the preset rules confirm or modify.
Preferably, wherein the step S4 further include: one the 4th operation interface is provided, the path is carried out really for user
Recognize or modifies.
A kind of businessman's recommendation apparatus characterized by comprising
Identification module, user demand for identification, and export a recognition result；
Recommending module connects the identification module, for determining recommendation according to the recognition result；
Generation module connects the recommending module, for determining target Business Information according to the recommendation；
Display module connects the generation module, for the target Business Information to be shown to corresponding user.
Preferably, wherein businessman's recommendation apparatus further include:
Output module connects the generation module and the display module, for by the target Business Information extremely
A few target businessman is as current businessman.
Preferably, wherein the output module includes:
Statistic unit, for counting the quantity of the target businessman in the target Business Information；
Sequencing unit connects the statistic unit, when the quantity of the target businessman is not more than 1, by the target quotient
Family is used as current businessman；
When the quantity of the target businessman is greater than 1, the target Business Information is ranked up according to preset rules, and
Using ranking in ranking results near preceding at least one target businessman as current businessman.
Preferably, wherein the preset rules include:
It is ranked up according to the matching degree of target businessman and user demand, matching degree is higher, and sequence is more forward；And/or
It is ranked up at a distance from user current location according to target businessman, distance is closer, and sequence is more forward；And/or
Reaching target businessman according to user needs the reference time spent to be ranked up, and the reference time, shorter sequence was more leaned on
Before；And/or
It is ranked up according to the degree of crowding of target businessman, the degree of crowding is lower, and sequence is more forward；And/or
It is ranked up according to the self attributes of target businessman, attribute value is higher, and sequence is more forward.
Preferably, wherein the self attributes include: customer evaluation, area of business, sales volume, one in customer quantity
Kind is a variety of.
Preferably, wherein businessman's recommendation apparatus further include:
Path planning module connects the output module, according to building information where the current businessman and user position
User described in information planning is set to the path of the current businessman, the path that planning obtains is opened up to corresponding user
Show.
Preferably, wherein the path planning module includes:
Storage unit, for storing the building information in the shopping center；
The building information includes the location information of each businessman in constructure inner structure information and building；
Acquiring unit obtains the customer position information；
Planning unit connects the storage unit and the acquiring unit, is believed according to building where the current businessman
Breath and the customer position information plan the user to the path of the current businessman；
Display unit connects the planning unit, and the path is shown to corresponding user.
Preferably, wherein businessman's recommendation apparatus further include:
Input module, connects the identification module, and the input module provides one first operation interface to receive user
Operation, the identification module identify the user demand according to the user's operation.
Preferably, wherein the user's operation includes:
The time that user is operated；And/or
The band of position that user is operated；And/or
Operate the attribute of user.
Preferably, wherein it is described operation user attribute include: the age, gender, Canopy structure, belongings, expression,
One of mood, action modes, dressing, language are a variety of.
Preferably, wherein all Business Information are corresponded to the key word character of the recommendation according at least one in advance
Duan Jinhang classification.
Preferably, wherein the recommending module further include:
First push unit, for the recognition result to be showed the user；
First confirmation unit confirms or repairs to the recognition result for user for providing one second operation interface
Change；
Preferably, wherein the generation module further include:
Second push unit, for by the recommendation, the target Business Information, the current businessman and described pre-
If one or more in rule show the user；
Second confirmation unit, for providing a third operation interface for user to the recommendation, the target businessman
One or more in information, the current businessman and the preset rules confirm or modify.
Preferably, wherein the display module further include:
Third push unit, for the path to be showed the user；
Third confirmation unit confirms or modifies to the path for user for providing one the 4th operation interface.
The beneficial effect of above-mentioned technical proposal is: by user oriented personalized ventilation system, substantially increasing clothes
The usage experience for the quality and user of being engaged in, is able to use family when purpose businessman is clear, reduces seeking scope, improves search efficiency,
When purpose businessman is indefinite, recommends specific Business Information to user, help user to make optimal selection, provided for user
Information abundant more, and without being equipped with special messenger, manpower has been saved, has solved the confinement problems of manual service.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of merchant recommendation method in presently preferred embodiments of the present invention；
Fig. 2 is a kind of structural schematic diagram of businessman's recommendation apparatus in presently preferred embodiments of the present invention；
Fig. 3 is in presently preferred embodiments of the present invention, on the basis of Fig. 2, the structural schematic diagram of output module；
Fig. 4 is in presently preferred embodiments of the present invention, on the basis of Fig. 2, the structural schematic diagram of path planning module.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art without creative labor it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be further explained below with reference to the attached drawings and specific examples, but not as the limitation of the invention.
Embodiment one:
A kind of businessman's recommendation apparatus, as shown in Fig. 2, including:
Identification module 1, identifies user demand, and exports a recognition result；；
Recommending module 2, connect identification module 1, for determining recommendation according to the recognition result；
Generation module 3 connects recommending module 2, for determining target Business Information according to the recommendation；
Display module 4 connects generation module 3, for the target Business Information to be shown to corresponding user.
Embodiment two:
The present embodiment is established on the basis of example 1, and difference is, businessman's recommendation apparatus further include: input mould
Block 7, connect identification module 1, input module 7 provide one first operation interface to receive user's operation, identification module 1 according to
Family operation identifies user demand.
Input module 1 can be set in a fixed terminal,
Fixed terminal is generally arranged in following position, to be convenient for the user to use: near the entrance of building, building
Main stream of people's passage proximate in object, near the time ladder front yard of elevator, near escalator entrance, popular businessman in building
Near, near the central plaza in building, near the biggish aggregate site of the volume of the flow of passengers etc..
Input module 1 can also be set in mobile terminal, be installed on the movement of user in advance in the form of application program
In intelligent terminal (such as mobile phone, tablet computer), user carries out user's operation by the first operation interface that application program provides.
The user's operation specifically includes: the band of position that the time and/or user that user is operated are operated,
And/or the attribute of operation user.
The attribute of the operation user includes: age, gender, Canopy structure, belongings, expression, mood, action side
One of formula, dressing, language are a variety of.
It is operated before the terminal comprising businessman's recommendation apparatus that user comes shopping center setting for the first time, terminal passes through
The identification module operation current to user identify, for example, if recognized during the time that user is operated is lunch,
Identification module can prepare to carry out shopping center progress food and drink consumption with tentative prediction customer at this time, operate if recognizing user
The band of position be located at cosmetics floor, identification module then predicts that user prepares to find suitable cosmetics businessman and brand, such as
Fruit recognizes user and carries child or pet, then identification module tentative prediction user come shopping center be intended to find baby children
The businessmans such as youngster, early education, entertainment for children or pet nursing center.The attribute of user can pass through terminal or the inside in shopping center
Monitoring camera is acquired, and can also be adopted by information of member card or the biological information such as fingerprint etc. of user
Collection.
Embodiment three:
The present embodiment is established on the basis of example 1, and difference is, recommending module 2 further include:
First push unit, for the recognition result to be showed the user；First confirmation unit, for providing one
Second operation interface confirms or modifies to the recognition result for user；
Generation module 3 further include:
Second push unit, for by the recommendation, the target Business Information, the current businessman and described pre-
If one or more in rule show the user；Second confirmation unit, for providing a third operation interface for user
To one or more progress in the recommendation, the target Business Information, the current businessman and the preset rules
Confirmation or modification.
Display module 4 further include:
Third push unit, for the path to be showed the user；Third confirmation unit, for providing one the 4th
Operation interface confirms or modifies to the path for user.
In the second operation interface, third operation interface and the 4th operation interface, it is respectively provided with an edit menu, the volume
The result that volume menu can push businessman's recommendation apparatus for user, which is deleted or added etc., to be operated.
Result is shown by modes such as voice, image, message push to user by businessman's recommendation apparatus, and is provided
One the operation interface of operations such as can be deleted accordingly result, be added, being confirmed, user can be according to the true of oneself
Demand is operated, and real demand is fed back to businessman's recommendation apparatus, businessman's recommendation apparatus then according to the feedback of user to
Specific Business Information is recommended at family, while in the edit menu, user can also directly search the tool of the businessman oneself wanted to go to
Body position information, to meet the demand of with clearly defined objective user group.
In businessman's recommendation apparatus, all Business Information are corresponded to the key of the recommendation according at least one in advance
Word field is classified.
The setting of keyword field can be classified progress, for example in the first classification, carry out food and drink, clothes, cosmetics, youngster
The keyword classifications such as child's amusement carry out classification to the keyword in the first classification in the second classification, such as to food and drink key
Word can specifically be subdivided into Sichuan cuisine system, Hunan cuisine system, Shanghai style of cooking etc..
Example IV:
The present embodiment is established on the basis of example 1, and difference is, businessman's recommendation apparatus further include:
Output module 5 connects generation module 3 and display module 4, for by least one target in target Business Information
Businessman is as current businessman.
As shown in figure 3, output module 5 includes:
Statistic unit 50, for counting the quantity of the target businessman in the target Business Information；
Sequencing unit 51, connection statistics unit 50 make the target businessman when the quantity of the target businessman is 1
For current businessman；
When the quantity of the target businessman is greater than 1, the target Business Information is ranked up according to preset rules, and
Using ranking in ranking results near preceding at least one target businessman as current businessman.
Current businessman herein is the businessman selected from target businessman in businessman's recommendation apparatus according to Yu Xianxuanding rule
Information, in display module, current Business Information in target businessman prior to the non-present Business Information in target businessman to
User is shown, and preferential mode can red or amplification etc. be prominent shows by mark current Business Information, can also be with
By the way that current Business Information is placed on homepage and forward be shown of sorting.
Above-mentioned preset rules include:
It is ranked up according to the matching degree of target businessman and user demand, matching degree is higher, and sequence is more forward；And/or
It is ranked up at a distance from user current location according to target businessman, distance is closer, and sequence is more forward；And/or
Reaching target businessman according to user needs the reference time spent to be ranked up, and the reference time, shorter sequence was more leaned on
Before；And/or
It is ranked up according to the degree of crowding of target businessman, the degree of crowding is lower, and sequence is more forward；And/or
It is ranked up according to the self attributes of target businessman, attribute value is higher, and sequence is more forward.
The self attributes include: customer evaluation, area of business, sales volume, one of customer quantity or a variety of.
The preset rules assembled scheme of default is provided in businessman's recommendation apparatus, user can also select according to the hobby of oneself
One or more preset rules is selected to be ranked up, for example, some users like less crowded and nice dining room, then the user
It can choose customer evaluation in degree of crowding sequence and businessman's self attributes and be combined sequence, it is forward therefrom to select customer evaluation
And be not to go to consume before too crowded food and drink businessman relatively, to accomplish meet the needs of client to greatest extent.
Embodiment five:
The present embodiment is established on the basis of example 1, and difference is, businessman's recommendation apparatus further include:
Output module 5 connects generation module 3 and display module 4, for by least one target in target Business Information
Businessman is as current businessman.
Path planning module 6 connects output module 5, according to building information and customer position information where current businessman
Plan that the path of current businessman, the path that planning is completed is shown to corresponding user by user.
As shown in figure 4, path planning module 6 includes:
Storage unit 60, for storing the building information in shopping center；The building information includes interior of building
The location information of each businessman in structural information and building；Acquiring unit 61 obtains the customer position information；Planning unit
62, storage unit 60 and acquiring unit 61 are connected, is believed according to building information and the user location where the current businessman
Breath plans the user to the path of the current businessman；Display unit 63 connects planning unit 62, by the path to correspondence
User be shown
It the path that path planning module 6 is planned can be by the way that voice broadcast service, text are shown, image is shown and information push side
One of formula or it is a variety of be shown to user, at the mobile end that path planning is pushed to user by way of information push
After in end equipment, mobile terminal device can also provide a user corresponding real-time navigation services according to the route planning information.
The location information that user is currently located can be obtained according to input module 7, be fixed when input module 7 is set to one
When terminal, the position of the fixed terminal is the position that user is presently in, can when input module 7 is set to mobile terminal
To be positioned using the hardware built in the mobile terminal to mobile terminal current location, to obtain the position that user is currently located
It sets.
Embodiment six:
A kind of merchant recommendation method, as shown in Figure 1, specifically including:
Step S1 carries out demand to user demand, and exports a recognition result；
Wherein, carrying out knowledge method for distinguishing to user demand can be by providing a user one first operation interface
Step S2 determines recommendation according to the recognition result；
Include the type of user demand in recognition result, user demand is met come specific determination by the type of user demand
Merchant categories, and as recommendation export；
Step S3 determines target Business Information according to the recommendation；
The specific Business Information of the type businessman is specifically determined for compliance with according to the merchant categories in recommendation, as mesh
Mark Business Information output；
The target Business Information is shown by step S4 to corresponding user.
Embodiment seven:
The present embodiment is established on the basis of embodiment six, and difference is, in step S1, provides one first operation interface use
To receive user's operation, demand identification is carried out to user according to the user's operation.First operation interface can be set in
It in one fixed terminal, can also be set in the form of application software in the mobile terminal of user, specifically describe detailed in Example
Two.
Above-mentioned user's operation includes: the time that user is operated and/or the band of position that user is operated, and/or
Operate the attribute of user.
The attribute of aforesaid operations user includes: age, gender, Canopy structure, belongings, expression, mood, action side
One of formula, dressing, language are a variety of.
Embodiment eight:
The present embodiment is established on the basis of embodiment six, and difference is, in step S1, after recognition result generation, is mentioned
The recognition result is confirmed or modified for the user for one second operation interface.
In step S3, recommendation, target Business Information, current quotient of the third operation interface for user to generation are provided
One or more being confirmed or being modified in family and preset rules.
In step S4, one the 4th operation interface is provided, path is confirmed or modified for user.
An edit menu is respectively provided in the second operation interface, third operation interface and the 4th operation interface, the edit menu
It is supplied to user and shows that result such as deletes or add at the operation to corresponding.
Before executing step S1, all Business Information are corresponded to the key of the recommendation according at least one in advance
Word field is classified.
Embodiment nine:
The present embodiment is established on the basis of embodiment six, and difference is, in step S4, after target Business Information generates,
Using at least one target businessman in target Business Information as current businessman.Specific steps: the mesh in target Business Information
When the quantity for marking businessman is 1, using target businessman as current businessman；When the quantity of the target businessman in target Business Information is greater than
When 1, target Business Information is ranked up according to preset rules, and by ranking in ranking results near at least one preceding target
Businessman as current businessman, meanwhile, by the current businessman in target businessman preferentially to the user show.
Current businessman herein is the businessman selected from target businessman in businessman's recommendation apparatus according to Yu Xianxuanding rule
Information, it can be understood as the businessman of businessman's recommendation apparatus keypoint recommendation, the current Business Information in target businessman is prior to target
Non-present Business Information in businessman is shown to user, and preferential mode can be red by mark current Business Information
Or the prominent displaying such as amplification, it can also be by the way that current Business Information be placed on homepage and forward be shown of sorting.
The preset rules include: to be ranked up according to the matching degree of target businessman and user demand, and matching degree is got over
Height sequence is more forward；And/or be ranked up at a distance from user current location according to target businessman, the nearlyr sequence of distance is more leaned on
Before；And/or reach target businessman according to user and the reference time spent is needed to be ranked up, the reference time, shorter sequence was more leaned on
Before；And/or be ranked up according to the degree of crowding of target businessman, the degree of crowding is lower, and sequence is more forward；And/or according to target quotient
The self attributes of family are ranked up, and attribute value is higher, and sequence is more forward.
The self attributes include: customer evaluation, area of business, sales volume, one of customer quantity or a variety of.
In step S4, after current Business Information generates, the building information and user where current businessman are current
Location information plans that the path of the current businessman, the path that planning is completed is opened up to corresponding user by user
Show, concrete methods of realizing detailed in Example five.
The beneficial effect of above-mentioned technical proposal is: carrying out Forecasting recognition by the demand to user, and according to Forecasting recognition
As a result it exports corresponding businessman's recommendation information to select for user, this user oriented personalized ventilation system substantially increases
The usage experience of service quality and user is able to use family when purpose businessman is clear, reduces seeking scope, improves and searches effect
Rate recommends specific Business Information to user, helps user to make optimal selection, mention for user when purpose businessman is indefinite
Information abundant more has been supplied, and without being equipped with special messenger, has saved manpower, has solved the confinement problems of manual service.
The foregoing is merely preferred embodiments of the present invention, are not intended to limit embodiments of the present invention and protection model
It encloses, to those skilled in the art, should can appreciate that all with made by description of the invention and diagramatic content
Equivalent replacement and obviously change obtained scheme, should all be included within the scope of the present invention.
Claims (29)
1. a kind of merchant recommendation method, which is characterized in that the recommended method specifically includes:
Step S1, identifies user demand, and exports a recognition result；
Step S2 determines recommendation according to the recognition result；
Step S3 determines target Business Information according to the recommendation；
The target Business Information is shown by step S4 to corresponding user.
2. merchant recommendation method according to claim 1, which is characterized in that further include in the step S3, by the mesh
At least one target businessman in Business Information is marked as current businessman.
3. merchant recommendation method according to claim 2, which is characterized in that the target quotient in the target Business Information
When the quantity of family is 1, using the target businessman as current businessman.
4. merchant recommendation method according to claim 2, which is characterized in that the target quotient in the target Business Information
Family quantity be greater than 1 when, the target Business Information is ranked up according to preset rules, and by ranking in ranking results near
Preceding at least one target businessman is as current businessman.
5. merchant recommendation method according to claim 4, which is characterized in that in the step S4 further include: by the mesh
The current businessman in mark businessman preferentially shows the user.
6. merchant recommendation method according to claim 4, which is characterized in that the preset rules include:
It is ranked up according to the matching degree of target businessman and user demand, matching degree is higher, and sequence is more forward；And/or
It is ranked up at a distance from user current location according to target businessman, distance is closer, and sequence is more forward；And/or
Reaching target businessman according to user needs the reference time spent to be ranked up, and the reference time is shorter, and sequence is more forward；With/
Or
It is ranked up according to the degree of crowding of target businessman, the degree of crowding is lower, and sequence is more forward；And/or
It is ranked up according to the self attributes of target businessman, attribute value is higher, and sequence is more forward.
7. merchant recommendation method according to claim 6, which is characterized in that the self attributes include: customer evaluation, battalion
One of industry area, sales volume and customer quantity are a variety of.
8. merchant recommendation method according to claim 2, which is characterized in that the step S4 further include: worked as according to described
Building information and customer position information plan that the path of the current businessman, planning is obtained by the user where preceding businessman
The path be shown to corresponding user.
9. merchant recommendation method according to claim 1, which is characterized in that the step S1 further includes providing one first
Operation interface identifies user demand to receive user's operation, according to the user's operation.
10. merchant recommendation method according to claim 9, which is characterized in that the user's operation includes:
The time that user is operated；And/or
The band of position that user is operated；And/or
Operate the attribute of user.
11. merchant recommendation method according to claim 10, which is characterized in that the attribute of the operation user includes: year
One of age, gender, Canopy structure, belongings, expression, mood, action modes, dressing and language are a variety of.
12. merchant recommendation method according to claim 1, which is characterized in that in advance by all Business Information according at least
The keyword field of one correspondence recommendation is classified.
13. merchant recommendation method according to claim 1, which is characterized in that the step S1 further include: provide one second
Operation interface confirms or modifies to the recognition result for the user.
14. merchant recommendation method according to claim 4, which is characterized in that the step S3 further include: provide a third
Operation interface is for user in the recommendation, the target Business Information, the current businessman and the preset rules
It is one or more to be confirmed or modified.
15. merchant recommendation method according to claim 8, which is characterized in that the step S4 further include: provide one the 4th
Operation interface confirms or modifies to the path for user.
16. a kind of businessman's recommendation apparatus characterized by comprising
Identification module, user demand for identification, and export a recognition result；
Recommending module connects the identification module, for determining recommendation according to the recognition result；
Generation module connects the recommending module, for determining target Business Information according to the recommendation；
Display module connects the generation module, for the target Business Information to be shown to corresponding user.
17. businessman's recommendation apparatus according to claim 16, which is characterized in that businessman's recommendation apparatus further include:
Output module connects the generation module and the display module, for by least one in the target Business Information
A target businessman is as current businessman.
18. businessman's recommendation apparatus according to claim 17, which is characterized in that the output module includes:
Statistic unit, for counting the quantity of the target businessman in the target Business Information；
Sequencing unit connects the statistic unit, when the quantity of the target businessman is 1, using the target businessman as working as
Preceding businessman；
When the quantity of the target businessman is greater than 1, the target Business Information is ranked up according to preset rules, and will row
Ranking is near preceding at least one target businessman as current businessman in sequence result.
19. businessman's recommendation apparatus according to claim 18, which is characterized in that the preset rules include:
It is ranked up according to the matching degree of target businessman and user demand, matching degree is higher, and sequence is more forward；And/or
It is ranked up at a distance from user current location according to target businessman, distance is closer, and sequence is more forward；And/or
Reaching target businessman according to user needs the reference time spent to be ranked up, and the reference time is shorter, and sequence is more forward；With/
Or
It is ranked up according to the degree of crowding of target businessman, the degree of crowding is lower, and sequence is more forward；And/or
It is ranked up according to the self attributes of target businessman, attribute value is higher, and sequence is more forward.
20. businessman's recommendation apparatus according to claim 19, which is characterized in that the self attributes include: customer evaluation,
Area of business, sales volume, one of customer quantity or a variety of.
21. businessman's recommendation apparatus according to claim 17, which is characterized in that businessman's recommendation apparatus further include:
Path planning module connects the output module, is believed according to building information and user location where the current businessman
Breath plans that the path of the current businessman, the path that planning obtains is shown to corresponding user by the user.
22. businessman's recommendation apparatus according to claim 21, which is characterized in that the path planning module includes:
Storage unit, for storing the building information in the shopping center；
The building information includes the location information of each businessman in constructure inner structure information and building；
Acquiring unit obtains the customer position information；
Planning unit connects the storage unit and the acquiring unit, according to building information where the current businessman and
The customer position information plans the user to the path of the current businessman；
Display unit connects the planning unit, and the path is shown to corresponding user.
23. businessman's recommendation apparatus according to claim 16, which is characterized in that businessman's recommendation apparatus further include:
Input module, connects the identification module, and the input module provides one first operation interface to receive user's operation,
The identification module carries out demand identification to the user according to the user's operation.
24. businessman's recommendation apparatus according to claim 23, which is characterized in that the user's operation includes:
The time that user is operated；And/or
The band of position that user is operated；And/or
Operate the attribute of user.
25. businessman's recommendation apparatus according to claim 24, which is characterized in that the attribute of the operation user includes: year
One of age, gender, Canopy structure, belongings, expression, mood, action modes, dressing, language are a variety of.
26. businessman's recommendation apparatus according to claim 16, which is characterized in that in advance by all Business Information according at least
The keyword field of one correspondence recommendation is classified.
27. businessman's recommendation apparatus according to claim 16, which is characterized in that the recommending module further include:
First push unit, for the recognition result to be showed the user；
First confirmation unit confirms or modifies to the recognition result for user for providing one second operation interface.
28. businessman's recommendation apparatus according to claim 18, which is characterized in that the generation module further include:
Second push unit is used for the recommendation, the target Business Information, the current businessman and the default rule
One or more in then show the user；
Second confirmation unit, for provide a third operation interface for user to the recommendation, the target Business Information,
One or more in the current businessman and the preset rules confirm or modify.
29. businessman's recommendation apparatus according to claim 21, which is characterized in that the display module further include:
Third push unit, for the path to be showed the user；
Third confirmation unit confirms or modifies to the path for user for providing one the 4th operation interface.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112051843A (en) * | 2020-08-07 | 2020-12-08 | 深圳优地科技有限公司 | Path planning method and device based on order estimation, robot and storage medium |
| CN112418996A (en) * | 2020-11-30 | 2021-02-26 | 珠海采筑电子商务有限公司 | Recommendation method and system for elevator suppliers |
| CN112507228A (en) * | 2020-12-14 | 2021-03-16 | 北京达佳互联信息技术有限公司 | Content recommendation method and content recommendation device |
| CN112669074A (en) * | 2020-12-31 | 2021-04-16 | 重庆文理学院 | Artificial intelligence man-machine interaction platform |
| CN113298481A (en) * | 2020-07-13 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Data processing method and device |
| CN115098792A (en) * | 2022-08-26 | 2022-09-23 | 天津恒达文博科技股份有限公司 | Exhibit recommendation method and device, computer-readable storage medium and electronic device |
| CN115699068A (en) * | 2020-06-19 | 2023-02-03 | 松下知识产权经营株式会社 | Information providing method |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881807A (en) * | 2015-06-26 | 2015-09-02 | 陆健 | Method and device for recommending goods information |
| CN105096151A (en) * | 2014-05-15 | 2015-11-25 | 中国移动通信集团公司 | Information recommendation method, device, and server |
| CN105180922A (en) * | 2015-09-07 | 2015-12-23 | 广东欧珀移动通信有限公司 | Method and terminal for navigating food |
| CN106528570A (en) * | 2015-09-14 | 2017-03-22 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN106981007A (en) * | 2017-03-02 | 2017-07-25 | 上海寻心网络科技有限公司 | A kind of new O2O system platforms and its application method interacted with different industry |
| CN107702706A (en) * | 2017-09-20 | 2018-02-16 | 广东欧珀移动通信有限公司 | Determining method of path, device, storage medium and mobile terminal |
| CN108305155A (en) * | 2018-03-12 | 2018-07-20 | 陈静 | A kind of catering information commending system based on big data |
| CN108428147A (en) * | 2018-01-15 | 2018-08-21 | 口碑(上海)信息技术有限公司 | A kind of method and device provided and show commercial circle information on services |
| CN108764956A (en) * | 2018-03-30 | 2018-11-06 | 斑马网络技术有限公司 | Information recommendation system and its recommendation method |
| CN109033299A (en) * | 2018-07-16 | 2018-12-18 | 深圳市谷熊网络科技有限公司 | It is a kind of by terminal applies to the method, device and equipment of user's recommendation information |
| CN109087171A (en) * | 2018-06-15 | 2018-12-25 | 长沙市到家悠享家政服务有限公司 | Service merchant recommendation method, device and electronic equipment |
| CN109711890A (en) * | 2018-12-28 | 2019-05-03 | 珍岛信息技术（上海）股份有限公司 | A kind of user data processing method and its system |
-
2019
- 2019-07-02 CN CN201910591014.8A patent/CN110335077A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105096151A (en) * | 2014-05-15 | 2015-11-25 | 中国移动通信集团公司 | Information recommendation method, device, and server |
| CN104881807A (en) * | 2015-06-26 | 2015-09-02 | 陆健 | Method and device for recommending goods information |
| CN105180922A (en) * | 2015-09-07 | 2015-12-23 | 广东欧珀移动通信有限公司 | Method and terminal for navigating food |
| CN106528570A (en) * | 2015-09-14 | 2017-03-22 | 百度在线网络技术（北京）有限公司 | Recommendation method and device |
| CN106981007A (en) * | 2017-03-02 | 2017-07-25 | 上海寻心网络科技有限公司 | A kind of new O2O system platforms and its application method interacted with different industry |
| CN107702706A (en) * | 2017-09-20 | 2018-02-16 | 广东欧珀移动通信有限公司 | Determining method of path, device, storage medium and mobile terminal |
| CN108428147A (en) * | 2018-01-15 | 2018-08-21 | 口碑(上海)信息技术有限公司 | A kind of method and device provided and show commercial circle information on services |
| CN108305155A (en) * | 2018-03-12 | 2018-07-20 | 陈静 | A kind of catering information commending system based on big data |
| CN108764956A (en) * | 2018-03-30 | 2018-11-06 | 斑马网络技术有限公司 | Information recommendation system and its recommendation method |
| CN109087171A (en) * | 2018-06-15 | 2018-12-25 | 长沙市到家悠享家政服务有限公司 | Service merchant recommendation method, device and electronic equipment |
| CN109033299A (en) * | 2018-07-16 | 2018-12-18 | 深圳市谷熊网络科技有限公司 | It is a kind of by terminal applies to the method, device and equipment of user's recommendation information |
| CN109711890A (en) * | 2018-12-28 | 2019-05-03 | 珍岛信息技术（上海）股份有限公司 | A kind of user data processing method and its system |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115699068A (en) * | 2020-06-19 | 2023-02-03 | 松下知识产权经营株式会社 | Information providing method |
| CN113298481A (en) * | 2020-07-13 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Data processing method and device |
| CN112051843A (en) * | 2020-08-07 | 2020-12-08 | 深圳优地科技有限公司 | Path planning method and device based on order estimation, robot and storage medium |
| CN112418996A (en) * | 2020-11-30 | 2021-02-26 | 珠海采筑电子商务有限公司 | Recommendation method and system for elevator suppliers |
| CN112507228A (en) * | 2020-12-14 | 2021-03-16 | 北京达佳互联信息技术有限公司 | Content recommendation method and content recommendation device |
| CN112669074A (en) * | 2020-12-31 | 2021-04-16 | 重庆文理学院 | Artificial intelligence man-machine interaction platform |
| CN115098792A (en) * | 2022-08-26 | 2022-09-23 | 天津恒达文博科技股份有限公司 | Exhibit recommendation method and device, computer-readable storage medium and electronic device |
| CN115098792B (en) * | 2022-08-26 | 2022-11-08 | 天津恒达文博科技股份有限公司 | Exhibit recommendation method and device, computer-readable storage medium and electronic device |
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