CN109242606A - Shops's recommended method and device based on geographical location - Google Patents

Shops's recommended method and device based on geographical location Download PDF

Info

Publication number
CN109242606A
CN109242606A CN201810933791.1A CN201810933791A CN109242606A CN 109242606 A CN109242606 A CN 109242606A CN 201810933791 A CN201810933791 A CN 201810933791A CN 109242606 A CN109242606 A CN 109242606A
Authority
CN
China
Prior art keywords
shops
user
geographical location
target
consumption
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810933791.1A
Other languages
Chinese (zh)
Inventor
胡叶军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Koubei Network Technology Co Ltd
Original Assignee
Zhejiang Koubei Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Koubei Network Technology Co Ltd filed Critical Zhejiang Koubei Network Technology Co Ltd
Priority to CN201810933791.1A priority Critical patent/CN109242606A/en
Publication of CN109242606A publication Critical patent/CN109242606A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0639—Item locations

Abstract

Shops's recommended method based on geographical location that this application discloses a kind of, comprising: shops user and the shops's classification for participating in shops's consumption are determined according to the user interactive data that participant is submitted；Obtain the geographical location information for the shops user that the participant detects；The target geographic position for participating in shops's consumption is determined according to the geographical location information；Selection and the matched target shops of shops's classification in the commercial circle range of nodes locating for the target geographic position；The target shops of selection is recommended to the shops user.Shops's recommended method based on geographical location balances shops user from respective locating geographical location information and goes to target shops the time it takes, while improving efficiency and user experience that shops user is consumed in target shops.

Description

Shops's recommended method and device based on geographical location
Technical field
This application involves Internet technical fields, and in particular to a kind of shops's recommended method based on geographical location.This Shen Please be related to a kind of shops's recommendation apparatus based on geographical location simultaneously, another shops's recommended method based on geographical location with And device and two kinds of electronic equipments.
Background technique
With the rapid development of the technologies such as Internet of Things, big data, various technologies relevant to Internet of Things, big data have been goed deep into Different social sectors are applied to, with user's the accelerating rhythm of life, pressure is also increasing, and user participates in KTV, wine The activity of equal public places of entertainment has become the common mode that releases stress, but the public places of entertainment such as KTV, bar require it is pre- to shop It orders, although phone reservations have been opened in the public places of entertainment such as many KTV, bar, phone reservations can only carry out simple subscription, when arriving shop It may also will appear and subscribe failing as a result, leading to unnecessary waiting, waste time.
In predetermined link, core is how user selects to want scheduled shops, corresponding, gives pleasure to for KTV, bar etc. For the service provider in happy place, how effectively to recommend to user, the shops for recommending user is enable to expire as far as possible The demand or expectation of sufficient user, becomes urgent problem to be solved.
Summary of the invention
The application provides a kind of shops's recommended method based on geographical location, to solve defect of the existing technology.This Apply while being related to a kind of shops's recommendation apparatus based on geographical location, another shops's recommended method based on geographical location And device and two kinds of electronic equipments.
The application provides a kind of shops's recommended method based on geographical location, comprising: is handed over according to the user that participant is submitted Mutual data determine the shops user for participating in shops's consumption and shops's classification；Obtain the shops user that the participant detects Geographical location information；The target geographic position for participating in shops's consumption is determined according to the geographical location information；In the target Selection and the matched target shops of shops's classification in commercial circle range of nodes locating for geographical location；By the target shops of selection to The shops user recommends.
Optionally, the user interactive data submitted according to participant determines the shops user and Men for participating in shops's consumption Shop classification, comprising: semantic analysis is carried out to the user interactive data；Semantic analysis result is gathered according to interaction topic Class, and filter out the target for meeting similarity threshold with the similarity that the participation shops consumes from cluster result and interact words Topic；Target interaction topic is parsed, the shops user for participating in shops's consumption and the participation shops are obtained Shops's classification of consumption.
Optionally, the shops in the commercial circle range of nodes has consumption popularity value and order transaction amount, correspondingly, described Selection and the matched target shops of shops's classification in the commercial circle range of nodes locating for the target geographic position, comprising: from Selection and at least one matched shops of shops's classification in the commercial circle range of nodes；According to consumption popularity value and/or order The sequence of single trading volume from high in the end screens at least one consumption popularity value and/or order transaction amount from the shops selected Highest shops is as the target shops, alternatively, filtering out at least one consumption popularity value from the shops of selection and/or ordering Single trading volume is greater than the shops of corresponding popularity threshold value and/or transaction threshold as the target shops.
Optionally, the target geographic position is calculated according to the geographical location information of at least two shops users and is obtained, institute Stating target geographic position includes: the virtual coordinates point composition coordinate of the geographical location information of the shops user on the electronic map Center, center of gravity and/or the orthocenter of figure.
Optionally, if the target geographic position is the void of the geographical location information of the shops user on the electronic map Quasi-coordinate point forms the center of coordinate graphic, correspondingly, being directed to the geographical location information of any one shops user electronically Virtual coordinates point on figure: if center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is no more than preset threshold, then using the center of the coordinate graphic as The target geographic position；If center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is more than or equal to the central threshold, then by second coordinate Second center of figure is as the target geographic position.
Optionally, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops step execute after, further includes: according to participate in shops consumption the shops user number of users, in the mesh The shops for marking at least one period that screening consumption number is more than or equal to the number of users in shops's product of shops produces Product；Shops's product has time attribute and by the attribute of accordingly consumption number consumption；By the shops's product filtered out to institute State shops user recommendation.
Optionally, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops step execute after, further includes: inquire the shops user in the target shops and/or the institute of target shops Belong to the history consumer record of shops's class now；If inquiring the shops user in the target shops and/or the target door The history consumer record of the affiliated shops's class in shop now then recommends the mesh to the shops user based on the history consumer record Mark shops's product of shops.
Optionally, described to recommend the shops of the target shops to produce to the shops user based on the history consumer record Product, comprising: obtain the shops user and disappear in the history of the affiliated shops's class of the target shops and/or the target shops now Take record；Shops's product has time attribute and consumes level attributed；Disappeared based on include in the history consumer record Take grade and consumption period, recommends consumption grade to be greater than the consumption etc. in the history consumer record included for the shops user Shops's product of at least one period of grade.
Optionally, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops step execute after, further includes: according to the number of users for the shops user for participating in shops's consumption, described in acquisition History consumer record of the shops user in the affiliated shops's class of the target shops and/or the target shops now；The shops Product has time attribute, consumption level attributed and is accordingly consumed the attribute that number is consumed；It is consumed and is remembered according to the history Comprising consumption grade in record, the average consumption grade of the shops user is determined；It is sieved in shops's product of the target shops Select consumption number more than or equal to the number of users and when consumption grade is greater than at least one of the average consumption grade Shops's product of section；The shops's product filtered out is recommended to the shops user.
The application also provides a kind of shops's recommendation apparatus based on geographical location, comprising:
Shops's consumption information determination unit, the user interactive data for being submitted according to participant, which determines, participates in shops's consumption Shops user and shops's classification；
Geographical location information acquiring unit, for obtaining the geographical location for the shops user that the participant detects Information；
Target geographic position determination unit, for according to the determining target for participating in shops's consumption of the geographical location information Manage position；
Target shops selecting unit, for selection in the commercial circle range of nodes locating for the target geographic position and the door The matched target shops of shop classification；
Target shops recommendation unit, the target shops for that will select is recommended to the shops user.
Optionally, shops's consumption information determination unit, comprising:
Semantic analysis subelement, for carrying out semantic analysis to the user interactive data；
Subelement is clustered, for being clustered according to interaction topic to semantic analysis result, and is screened from cluster result The target for meeting similarity threshold with the similarity that the participation shops consumes out interacts topic；
Parsing subunit obtains the shops for participating in shops's consumption for parsing to target interaction topic User and the shops's classification for participating in shops's consumption.
Optionally, the shops in the commercial circle range of nodes has consumption popularity value and order transaction amount, correspondingly, described Target shops selecting unit, comprising:
Shops selects subelement, for the selection out of described commercial circle range of nodes and shops's classification matched at least one A shops；
Subelement screens in target shops, for according to consumption popularity value and/or order transaction amount sequence from high in the end, from At least one consumption popularity value and/or the highest shops of order transaction amount are screened in the shops selected as the target door Shop, alternatively, filtering out at least one consumption popularity value and/or order transaction amount from the shops of selection greater than corresponding popularity threshold value And/or the shops of transaction threshold is as the target shops.
Optionally, the target geographic position is calculated according to the geographical location information of at least two shops users and is obtained, institute Stating target geographic position includes: the virtual coordinates point composition coordinate of the geographical location information of the shops user on the electronic map Center, center of gravity and/or the orthocenter of figure.
Optionally, if the target geographic position is the void of the geographical location information of the shops user on the electronic map Quasi-coordinate point forms the center of coordinate graphic, correspondingly, being directed to the geographical location information of any one shops user electronically Virtual coordinates point on figure: if center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is no more than preset threshold, then using the center of the coordinate graphic as The target geographic position；If center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is more than or equal to the central threshold, then by second coordinate Second center of figure is as the target geographic position.
In addition the application provides a kind of shops's recommended method based on geographical location, comprising: hand over to service side's upload user Mutual data；Detection participates in the geographical location information of the shops user of shops's consumption；The shops user is sent to the service side Geographical location information；Receive selected in the commercial circle range of nodes locating for target geographic position that the service side recommends with door The matched target shops of shop classification；Wherein, the target geographic position is determined based on the geographical location information of the shops user, Shops's classification is determined based on the user interactive data.
In addition the application provides a kind of shops's recommendation apparatus based on geographical location, comprising:
User interactive data uploading unit is used for service side's upload user interaction data；
Geographical location information detection unit, for detecting the geographical location information for participating in the shops user of shops's consumption；
Geographical location information transmission unit, for sending the geographical location information of the shops user to the service side；
Receiving unit is recommended by target shops, the section of the commercial circle locating for target geographic position recommended for receiving the service side Select in point range with the matched target shops of classification of shops；
Wherein, the target geographic position is determined based on the geographical location information of the shops user, shops's classification It is determined based on the user interactive data.
The application also provides a kind of electronic equipment, comprising: memory and processor；The memory is for storing computer Executable instruction, the processor are used to execute the computer executable instructions: the user's interaction number submitted according to participant The shops user and shops's classification that shops consumes are participated according to determining；Obtain the ground for the shops user that the participant detects Manage location information；The target geographic position for participating in shops's consumption is determined according to the geographical location information；In the target geographic Selection and the matched target shops of shops's classification in commercial circle range of nodes locating for position；By the target shops of selection to described Shops user recommends.
In addition the application provides a kind of electronic equipment, comprising: memory and processor；The memory is calculated for storing Machine executable instruction, the processor is for executing the computer executable instructions: to service side's upload user interaction data； Detection participates in the geographical location information of the shops user of shops's consumption；The geographical position of the shops user is sent to the service side Confidence breath；Receive selected in the commercial circle range of nodes locating for target geographic position that the service side recommends with shops's classification The target shops matched；Wherein, the target geographic position is determined based on the geographical location information of the shops user, the shops Classification is determined based on the user interactive data.
Shops's recommended method based on geographical location provided by the present application, comprising: the user submitted according to participant Interaction data determines the shops user for participating in shops's consumption and shops's classification；The shops that the participant detects is obtained to use The geographical location information at family；The target geographic position for participating in shops's consumption is determined according to the geographical location information；In the mesh Mark selection and the matched target shops of shops's classification in commercial circle range of nodes locating for geographical location；By the target shops of selection Recommend to the shops user.
Shops's recommended method based on geographical location provided by the present application, in the user interactive data that participant is submitted On the basis of determine the shops user for participating in shops's consumption and shops's classification, and further according to the geographical location of shops user Information is selected to participate in the target shops that the shops user of shops's consumption recommends geographical location more appropriate for shops user It selects, make a reservation for and consumes, balance shops user from respective locating geographical location information and go to target shops the time it takes, together When improve the efficiency and user experience that shops user is consumed in target shops.
Detailed description of the invention
Attached drawing 1 is a kind of process flow diagram of shops's recommended method embodiment based on geographical location provided by the present application；
Attached drawing 2 is the schematic diagram that a kind of KTV shops based on geographical location provided by the present application is recommended；
Attached drawing 3 is a kind of schematic diagram of shops's recommendation apparatus embodiment based on geographical location provided by the present application；
Attached drawing 4 is the process flow of second provided by the present application shops's recommended method embodiment based on geographical location Figure；
Attached drawing 5 is the schematic diagram of second provided by the present application shops's recommendation apparatus embodiment based on geographical location；
Attached drawing 6 is the schematic diagram of a kind of electronic equipment provided by the present application；
Attached drawing 7 is the schematic diagram of second of electronic equipment provided by the present application.
Specific embodiment
Many details are explained in the following description in order to fully understand the application.But the application can be with Much it is different from other modes described herein to implement, those skilled in the art can be without prejudice to the application intension the case where Under do similar popularization, therefore the application is not limited by following public specific implementation.
The application provides a kind of shops's recommended method based on geographical location, and the application also provides a kind of based on geographical location Shops's recommendation apparatus, another shops's recommended method and device based on geographical location, and, two kinds of electronic equipments. It is described in detail one by one below in conjunction with the attached drawing of embodiment provided by the present application, and each step of method is carried out Explanation.
A kind of shops's recommended method embodiment based on geographical location provided by the present application is as follows:
Referring to attached drawing 1, it illustrates a kind of shops's recommended method embodiments based on geographical location provided by the present application Process flow diagram, referring to attached drawing 2, it illustrates a kind of signals that the KTV shops based on geographical location is recommended provided by the present application Figure.
Step S101 determines shops user and the shops for participating in shops's consumption according to the user interactive data that participant is submitted Classification.
Currently, service for life class, which is widely used, to be used by a user, and life is passed through under the fast-developing overall situation of new retail The recommendation of class is serviced, user would know that essential information, service evaluation, the shops's environmental evaluation etc. of the related all kinds of shops of life, and The service for life class application can be used to be paid.Especially KTV, bar, food and drink, hotel, Entertainment, beauty, massage, The characteristics of industries such as sport and body-building, this kind of industry is that consumption number of times are more frequent, therefore, for the shops of this kind of industry, such as What preferably services user by the online service function that the application of service for life class provides, and becomes the pass for promoting the business revenue of shops Key, for example, KTV shops not only needs to access public praise platform (application of service for life class), it is also necessary to which being based on public praise platform is user More convenient consumption experience is provided.
Shops's recommended method based on geographical location provided by the embodiments of the present application is based on service side (for example, life Service the server-side of class application) it realizes, shops's recommended method based on geographical location that following embodiments provide is based respectively on ginseng With square realization, during specific implementation, by the mutual cooperation of the two, on the basis for the user interactive data that participant is submitted (all users can generate user interactive data to the upper determining shops user for participating in shops's consumption, but only confirmation participates in door The user of shop consumption is referred to as shops user) and shops's classification, and further according to the geographical location information of shops user, It selects, make a reservation for for shops user to participate in the target shops that the shops user of shops's consumption recommends geographical location more appropriate And consumption, shops user is balanced from respective locating geographical location information and goes to target shops the time it takes, is promoted simultaneously The efficiency and user experience that shops user is consumed in target shops.
It should be noted that shops's recommended method based on geographical location provided by the embodiments of the present application, is participating in The shops user for participating in shops's consumption is determined on the basis of the user interactive data just submitted, and further according to shops user's The target shops more moderate in position is recommended to participate in the shops user of shops's consumption in geographical location, in the specific implementation, The server-side that shops's recommended method based on geographical location is also based on third party's social application is realized, is led between user Third party's social application to be crossed to interact, the user interactive data that interaction generates is committed to the server-side of third party's social application, Realize that the shops based on geographical location is recommended according to user interactive data by server-side.In addition to this, it is also possible to by service side and Both server-sides of third party's social application are performed in unison with the possibility of shops's recommended method based on geographical location, i.e., and one It is executed step by step by service side, another part is executed based on the server-side of third party's social application.
Participant described in the embodiment of the present application interacts and generates a side or multi-party for user interactive data, such as 5 A user participates in interaction, then participant can be the either side where this 5 users, by wherein either side by 5 users The interaction data that interaction generates is committed to service side, and participant is also possible to any 2,3 or 4 users in this 5 users, It can also be all users in 5 users, correspondingly, by even 5 users of any 2,3 or 4 in this 5 users The interaction data that interaction generates is committed to service side.
In practical applications, user interactive data generally generates in third party's social application, for example two users are in society The chat data for handing over APP chat to generate, alternatively, the chat data that multiple users generate in session group.But user interacts number According to user interactive data without being limited thereto, that participant is submitted, the friendship generated between user by other application interaction can also be Mutual data, such as user A are applied in service for life class the movable discount coupon of KTV being shared with user B, and user B is invited to go to participate in KTV activity after user B receives discount coupon, carries the various modes such as the link of discount coupon by text, voice, triggering and confirms Participate in KTV activity.
Shops's classification of shops described in the embodiment of the present application refers to that the classification of the affiliated industry of the shops, shops's classification are The label that service industry classifies, for example, in show business shops's classification of KTV shops include KTV, sing, amount dealer KTV etc.. For a shops, shops's classification of the shops is uniquely determined.Certainly, if for one KTV For shop, if there are multiple shops's classifications for the KTV shops, for example certain KTV shops manages KTV with other such as drinks, zero simultaneously Food, barbecue etc., correspondingly, shops's classification of the KTV shops is more than one.
In a kind of preferred embodiment provided by the embodiments of the present application, this step is according to the interactive number of user that participant is submitted The shops user and shops's classification that shops consumes are participated according to determining, comprising: semantic analysis is carried out to the user interactive data；It presses Semantic analysis result is clustered according to interaction topic, and is filtered out from cluster result and participates in the similar of shops's consumption to described Degree meets the target interaction topic of similarity threshold；Target interaction topic is parsed, the participation shops is obtained and disappears The shops user taken and the shops's classification for participating in shops's consumption.
For example, participating in the user interactive data that direction service side submits, user can be within some period in past All user interactive datas, and to find out user from the user interactive data in this period and participate in the movable correlation of KTV Data first have to carry out semantic analysis to user interactive data, according to semantic analysis result, according to interaction topic to semantic analysis As a result it is clustered, by KTV activity topic correlation interaction data cluster to together, is then matched according to keyword " KTV ", This movable topic of KTV after cluster is screened, after filtering out movable this target interaction topic of KTV, to KTV activity The interaction data for including in topic is parsed, and determines all users that the KTV activity topic is related to, and relate to according to each user And interaction data, determine each user whether participate in KTV activity, finally determine it is all participation KTV shops consumption shops use Family and shops user participate in the movable shops's classification of KTV, for example participate in the movable shops user of KTV and be intended not only to sing, also Want to drink, then participates in shops's classification of KTV consumption as amount dealer KTV.
Step S102 obtains the geographical location information for the shops user that the participant detects.
In the specific implementation, the geographical location information for participating in the shops user of shops's consumption, service side are detected by participant The geographical location information for all shops users that it is detected is obtained from participant.For example, by under all participants of service orientation The detection instruction of respective geographical location information detects in side, and participant is respectively geographical in real time according to the detection instruction detection received Location information, and the respective real-time geographical location information that will test is uploaded to service side.
Step S103 determines the target geographic position for participating in shops's consumption according to the geographical location information.
Above-mentioned steps S102 gets the geographical location information for the shops user that participant detects, this step is according to acquisition The geographical location information of the shops user arrived determines the target geographic position for carrying out shops's consumption, it may be assumed that recommends to shops user Carry out the geographical location of shops's consumption.
In a kind of preferred embodiment provided by the embodiments of the present application, the target geographic position is according at least two shops The geographical location information of user, which calculates, to be obtained, and the target geographic position includes: that the geographical location information of the shops user exists Center, center of gravity and/or the orthocenter of virtual coordinates point composition coordinate graphic on electronic map.
Preferably, if the target geographic position is the void of the geographical location information of the shops user on the electronic map Quasi-coordinate point form coordinate graphic center, correspondingly, for any one shops user geographical location information electronically Virtual coordinates point on figure, if center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is no more than preset threshold, then using the center of the coordinate graphic as The target geographic position；If center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is more than or equal to the central threshold, then by second coordinate Second center of figure is as the target geographic position.
Step S104, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops.
Commercial circle node described in the embodiment of the present application refers to and carries out each region institute obtained after region division in consumption dimension The node of representative, specifically, the division of commercial circle node is divided in combination with both geographic area and consumption temperature, such as basis Geographic area is divided by function as different zones, such as residential quarter, first for the electronic map data that map quotient provides School, park, market, road etc., according to the region with commercial consumption attribute obtained after above-mentioned division, such as market, road Shops, shops of residential quarter side of side etc. carry out further market area partition to the region obtained after above-mentioned division, such as will Market is divided into a commercial circle node in city, and city incity street is divided into a commercial circle node, or by city A piece of region division be that (Pekinese international trade region or three regions Li Tun are respectively divided into a commercial circle section for commercial circle node Point).
The application is implemented in a kind of preferred embodiment provided, and the shops in the commercial circle range of nodes has consumer Gas value and order transaction amount, correspondingly, this step selected in the commercial circle range of nodes locating for the target geographic position with it is described The matched target shops of shops's classification, comprising: selection and shops's classification are matched at least out of described commercial circle range of nodes One shops；According to the sequence of consumption popularity value and/or order transaction amount from high in the end, screened at least from the shops selected One consumption popularity value and/or the highest shops of order transaction amount are as the target shops, alternatively, sieving from the shops of selection It selects at least one consumption popularity value and/or order transaction amount is greater than shops's conduct of corresponding popularity threshold value and/or transaction threshold The target shops.
Step S105 recommends the target shops of selection to the shops user.
Above-mentioned steps S104 is selected and shops's classification in the commercial circle range of nodes locating for the target geographic position The target shops matched, this step are recommended to shops user on this basis, by the target shops of selection.
It should be noted that selection and shops's class in the above-mentioned commercial circle range of nodes locating for the target geographic position It, can also be simultaneously to the shops user other than recommending target shops to shops user after the matched target shops of mesh Recommend shops's product of target shops.It is following that three kinds of implementations for recommending shops's product of target shops to the shops user are provided Mode:
In the first preferred embodiment provided by the embodiments of the present application, according to the shops user for participating in shops's consumption Number of users, in shops's product of the target shops screen consumption number be more than or equal to the number of users extremely Shops's product (shops's product has time attribute and by the attribute of accordingly consumption number consumption) of a few period, finally The shops's product filtered out is recommended to the shops user.
In second of preferred embodiment provided by the embodiments of the present application, the shops user is inquired in the target shops And/or the history consumer record of the affiliated shops's class of target shops now, if inquiring the shops user in the target The history consumer record of the affiliated shops's class of shops and/or the target shops now is then based on the history consumer record to institute State shops's product that shops user recommends the target shops.
Preferably, above-mentioned to recommend the shops of the target shops to produce to the shops user based on the history consumer record Product, comprising: obtain the shops user and disappear in the history of the affiliated shops's class of the target shops and/or the target shops now Take record；Shops's product has time attribute and consumes level attributed；Disappeared based on include in the history consumer record Take grade and consumption period, recommends consumption grade to be greater than the consumption etc. in the history consumer record included for the shops user Shops's product of at least one period of grade.
In the third preferred embodiment provided by the embodiments of the present application, according to the shops user for participating in shops's consumption Number of users, obtain the shops user in the affiliated shops's class of the target shops and/or the target shops going through now History consumer record；Shops's product has time attribute, consumption level attributed and is accordingly consumed the attribute that number is consumed； According to including consumption grade in the history consumer record, the average consumption grade of the shops user is determined；In the target Consumption number is screened in shops's product of shops more than or equal to the number of users and consumption grade averagely disappears greater than described Take shops's product of at least one period of grade；The shops's product filtered out is recommended to the shops user.
Shops's recommended method embodiment based on geographical location is carried out furtherly below by a complete example It is bright:
Herein by taking KTV industry as an example, determine that the shops for participating in the consumption of KTV shops uses on the basis of user interactive data Family, and further recommended in position more according to the geographical location of shops user to participate in the shops user of KTV shops consumption Moderate target KTV shops selects for shops user, makes a reservation for and consumes, and balances between shops user from current respective The time that geographical location goes to target KTV shops to be consumed goes to target KTV shops to consume to save shops user Time, promote shops the user efficiency and consumption experience consumed in target KTV shops.
It should be noted that can also implement in other industry, such as food and drink, wine in addition to KTV industry provided herein The industries such as shop, Entertainment, beauty, massage, sport and body-building are pushed away referring to provided herein by geographical location progress KTV shops The process recommended, the application no longer repeat one by one.
Referring to attached drawing 2, between participant one end, user A and user B by service for life class application (for example, public praise or The Alipay of person's insertion public praise platform) it interacts, user interactive data is generated, the interaction data of generation is submitted to service side (the server-side side of service for life class application).
In service side one end, the user interactive data generated to user A and user B interaction carries out semantic analysis, goes forward side by side one Step interacts topic cluster to semantic analysis result, filters out in interaction topic cluster result and matches with participation KTV consumption Target interaction topic, by this target interaction topic analyze, obtain user A and user B target interaction topic In all indicate to participate in KTV consumption, and both also embody and to want to carry out drinks consumption during KTV is movable, it is seen that The KTV shops that the two wants consumption is amount dealer KTV；
After determining the user A and user B that participate in KTV consumption, from user A and the corresponding life clothes of user's B both Class of being engaged in is using the real-time geographical location information of both acquisitions, after the geographical location information for getting the two, in existing commercial circle It is found out in node with the two apart from moderate commercial circle node 1, popularity highest three is then selected in the range of the commercial circle node 1 Jia Liangfan KTV shops, right rear line A and user B recommend the three Jia Liangfan KTV shops selected.
In conclusion shops's recommended method based on geographical location provided by the present application, in the use that participant is submitted The shops user for participating in shops's consumption and shops's classification are determined on the basis of the interaction data of family, and further according to shops user Geographical location information, be to participate in the shops user of shops's consumption to recommend the more appropriate target shops in geographical location for shops Family is selected, made a reservation for and is consumed, and is balanced shops user and is gone to target shops to be spent from respective locating geographical location information Time, while improving efficiency and user experience that shops user is consumed in target shops.
A kind of shops's recommendation apparatus embodiment based on geographical location provided by the present application is as follows:
In the above-described embodiment, a kind of shops's recommended method based on geographical location is provided, it is corresponding, this Application additionally provides a kind of shops's recommendation apparatus based on geographical location, is illustrated with reference to the accompanying drawing.Reference attached drawing 3, Show a kind of schematic diagram of shops's recommendation apparatus embodiment based on geographical location provided by the present application.Due to Installation practice It is substantially similar to embodiment of the method, so describing fairly simple, relevant part refers to the embodiment of the method for above-mentioned offer Corresponding explanation.Installation practice described below is only schematical.
The application provides a kind of shops's recommendation apparatus based on geographical location, comprising:
Shops's consumption information determination unit 301, the user interactive data for being submitted according to participant, which determines, participates in shops The shops user of consumption and shops's classification；
Geographical location information acquiring unit 302, for obtaining the geography for the shops user that the participant detects Location information；
Target geographic position determination unit 303, for determining the mesh for participating in shops's consumption according to the geographical location information Mark geographical location；
Target shops selecting unit 304, for selection and institute in the commercial circle range of nodes locating for the target geographic position State the matched target shops of shops's classification；
Target shops recommendation unit 305, the target shops for that will select is recommended to the shops user.
Optionally, shops's consumption information determination unit 301, comprising:
Semantic analysis subelement, for carrying out semantic analysis to the user interactive data；
Subelement is clustered, for being clustered according to interaction topic to semantic analysis result, and is screened from cluster result The target for meeting similarity threshold with the similarity that the participation shops consumes out interacts topic；
Parsing subunit obtains the shops for participating in shops's consumption for parsing to target interaction topic User and the shops's classification for participating in shops's consumption.
Optionally, the shops in the commercial circle range of nodes has consumption popularity value and order transaction amount, correspondingly, described Target shops selecting unit 304, comprising:
Shops selects subelement, for the selection out of described commercial circle range of nodes and shops's classification matched at least one A shops；
Subelement screens in target shops, for according to consumption popularity value and/or order transaction amount sequence from high in the end, from At least one consumption popularity value and/or the highest shops of order transaction amount are screened in the shops selected as the target door Shop, alternatively, filtering out at least one consumption popularity value and/or order transaction amount from the shops of selection greater than corresponding popularity threshold value And/or the shops of transaction threshold is as the target shops.
Optionally, the target geographic position is calculated according to the geographical location information of at least two shops users and is obtained, institute Stating target geographic position includes: the virtual coordinates point composition coordinate of the geographical location information of the shops user on the electronic map Center, center of gravity and/or the orthocenter of figure.
Optionally, if the target geographic position is the void of the geographical location information of the shops user on the electronic map Quasi-coordinate point forms the center of coordinate graphic, correspondingly, being directed to the geographical location information of any one shops user electronically Virtual coordinates point on figure: if center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is no more than preset threshold, then using the center of the coordinate graphic as The target geographic position；If center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is more than or equal to the central threshold, then by second coordinate Second center of figure is as the target geographic position.
Optionally, shops's recommendation apparatus based on geographical location, further includes:
Shops's product screening unit, for the number of users according to the shops user for participating in shops's consumption, described The shops that consumption number is more than or equal at least one period of the number of users is screened in shops's product of target shops Product；Shops's product has time attribute and by the attribute of accordingly consumption number consumption；
Shops's Products Show unit, shops's product for will filter out are recommended to the shops user.
Optionally, shops's recommendation apparatus based on geographical location, further includes:
History consumer record query unit, for inquiring the shops user in the target shops and/or the target The history consumer record of the affiliated shops's class of shops now；
If inquire the shops user in the affiliated shops's class of the target shops and/or the target shops going through now History consumer record then executes second shops's Products Show unit, for being based on the history consumer record to the shops user Recommend shops's product of the target shops.
Optionally, the second shops Products Show unit, comprising:
Subelement is obtained, for obtaining shops user door belonging to the target shops and/or the target shops The history consumer record of shop class now；Shops's product has time attribute and consumes level attributed；
Recommend subelement, for being described based on the consumption grade and consumption period for including in the history consumer record Shops user recommends shops of the consumption grade greater than at least one period of the consumption grade for including in the history consumer record Product.
Optionally, shops's recommendation apparatus based on geographical location, further includes:
Second history consumer record query unit, for the number of users according to the shops user for participating in shops's consumption Mesh obtains the history consumption note of the shops user now in the affiliated shops's class of the target shops and/or the target shops Record；Shops's product has time attribute, consumption level attributed and is accordingly consumed the attribute that number is consumed；
Average consumption level de-termination unit, described in determining according to including consumption grade in the history consumer record The average consumption grade of shops user；
Second shops's product screening unit, in shops's product of the target shops screen consumption number be greater than or Person is equal to the number of users and consumes shops's product that grade is greater than at least one period of the average consumption grade；
Second shops's Products Show unit, shops's product for will filter out are recommended to the shops user.
Second provided by the present application shops's recommended method embodiment based on geographical location is as follows:
In the above-described embodiment, a kind of shops's recommended method based on geographical location is provided, in addition, the application also mentions It is mutual with shops's recommended method based on geographical location of above-mentioned offer for second of shops's recommended method based on geographical location Cooperation, is illustrated with reference to the accompanying drawing.Referring to attached drawing 2, it illustrates a kind of KTV based on geographical location provided by the present application The schematic diagram that shops is recommended, referring to attached drawing 4, it illustrates the second provided by the present application recommendation sides of shops based on geographical location The process flow diagram of method embodiment.Due to second of the shops's recommended method based on geographical location and above-mentioned implementation currently provided Shops's recommended method based on geographical location that example provides cooperates, so describing fairly simple, relevant part please join The corresponding explanation of shops's recommended method embodiment based on geographical location of above-mentioned offer is provided.Embodiment described below is only It is only illustrative.
The application provides second of shops's recommended method based on geographical location, is realized based on participant, more specifically, is Service for life class application based on participant realizes that shops's recommended method based on geographical location of above-mentioned offer is based on life The server-side for servicing class application passes through the application of service for life class, the service for life class application of participant during specific implementation Both server-sides mutual cooperation, it is common to realize that shops is recommended.
Step S401, to service side's upload user interaction data；
Step S402, detection participate in the geographical location information of the shops user of shops's consumption；
Step S403 sends the geographical location information of the shops user to the service side；
Step S404, receive selected in the commercial circle range of nodes locating for target geographic position that the service side recommends with The matched target shops of shops's classification；Wherein, geographical location information of the target geographic position based on the shops user is true Fixed, shops's classification is determined based on the user interactive data.
Shops's recommended method provided in this embodiment based on geographical location is carried out below with reference to a complete example It further illustrates:
Herein by taking KTV industry as an example, determine that the shops for participating in the consumption of KTV shops uses on the basis of user interactive data Family, and further recommended in position more according to the geographical location of shops user to participate in the shops user of KTV shops consumption Moderate target KTV shops selects for shops user, makes a reservation for and consumes, and balances between shops user from current respective The time that geographical location goes to target KTV shops to be consumed goes to target KTV shops to consume to save shops user Time, promote shops the user efficiency and consumption experience consumed in target KTV shops.
It should be noted that can also implement in other industry, such as food and drink, wine in addition to KTV industry provided herein The industries such as shop, Entertainment, beauty, massage, sport and body-building are pushed away referring to provided herein by geographical location progress KTV shops The process recommended, the application no longer repeat one by one.
Referring to attached drawing 2, between participant one end, user A and user B by service for life class application (for example, public praise or The Alipay of person's insertion public praise platform) it interacts, user interactive data is generated, the interaction data of generation is submitted to service side (the server-side side of service for life class application).
In service side one end, the user interactive data generated to user A and user B interaction carries out semantic analysis, goes forward side by side one Step interacts topic cluster to semantic analysis result, filters out in interaction topic cluster result and matches with participation KTV consumption Target interaction topic, by this target interaction topic analyze, obtain user A and user B target interaction topic In all indicate to participate in KTV consumption, and both also embody and to want to carry out drinks consumption during KTV is movable, it is seen that The KTV shops that the two wants consumption is amount dealer KTV；
After determining the user A and user B that participate in KTV consumption, from user A and the corresponding life clothes of user's B both Class of being engaged in is using the real-time geographical location information of both acquisitions, after the geographical location information for getting the two, in existing commercial circle It is found out in node with the two apart from moderate commercial circle node 1, popularity highest three is then selected in the range of the commercial circle node 1 Jia Liangfan KTV shops, right rear line A and user B recommend the three Jia Liangfan KTV shops selected.
Second provided by the present application shops's recommendation apparatus embodiment based on geographical location is as follows:
In the above-described embodiment, second of shops's recommended method based on geographical location is provided, it is corresponding, The application also provides second of shops's recommendation apparatus based on geographical location, is illustrated with reference to the accompanying drawing.Reference attached drawing 5, The schematic diagram for shops's recommendation apparatus embodiment based on geographical location that it illustrates second provided by the present application.Due to device reality It applies example and is substantially similar to embodiment of the method, so describing fairly simple, the method that relevant part refers to above-mentioned offer is real Apply the corresponding explanation of example.Installation practice described below is only schematical.
The application provides second of shops's recommendation apparatus based on geographical location, comprising:
User interactive data uploading unit 501 is used for service side's upload user interaction data；
Geographical location information detection unit 502, for detecting the geographical location information for participating in the shops user of shops's consumption；
Geographical location information transmission unit 503, the geographical location for sending the shops user to the service side are believed Breath；
Receiving unit 504 is recommended by target shops, the quotient locating for target geographic position recommended for receiving the service side Enclose range of nodes in select with the matched target shops of classification of shops；
Wherein, the target geographic position is determined based on the geographical location information of the shops user, shops's classification It is determined based on the user interactive data.
A kind of electronic equipment embodiment provided by the present application is as follows:
In the above-described embodiment, a kind of shops's recommended method based on geographical location is provided, in addition, the application also mentions The electronic equipment for having supplied a kind of shops's recommended method for realizing described based on geographical location, is said with reference to the accompanying drawing It is bright.Referring to attached drawing 6, it illustrates the schematic diagrames of a kind of electronic equipment provided in this embodiment.The electronics provided by the present application Apparatus embodiments describe fairly simple, and the shops based on geographical location that relevant part refers to above-mentioned offer is recommended The corresponding explanation of embodiment of the method.Embodiment described below is only schematical.
The application provides a kind of electronic equipment, comprising: memory 601 and processor 602；The memory 601 is for depositing Computer executable instructions are stored up, the processor 602 is used to execute following computer executable instructions: submitting according to participant User interactive data determines the shops user for participating in shops's consumption and shops's classification；Obtain the door that the participant detects The geographical location information of shop user；The target geographic position for participating in shops's consumption is determined according to the geographical location information；Institute State selection and the matched target shops of shops's classification in commercial circle range of nodes locating for target geographic position；By the target of selection Shops is recommended to the shops user.
Optionally, the user interactive data submitted according to participant determines the shops user and Men for participating in shops's consumption Shop classification, comprising: semantic analysis is carried out to the user interactive data；Semantic analysis result is gathered according to interaction topic Class, and filter out the target for meeting similarity threshold with the similarity that the participation shops consumes from cluster result and interact words Topic；Target interaction topic is parsed, the shops user for participating in shops's consumption and the participation shops are obtained Shops's classification of consumption.
Optionally, the shops in the commercial circle range of nodes has consumption popularity value and order transaction amount, correspondingly, described Selection and the matched target shops of shops's classification in the commercial circle range of nodes locating for the target geographic position, comprising: from Selection and at least one matched shops of shops's classification in the commercial circle range of nodes；According to consumption popularity value and/or order The sequence of single trading volume from high in the end screens at least one consumption popularity value and/or order transaction amount from the shops selected Highest shops is as the target shops, alternatively, filtering out at least one consumption popularity value from the shops of selection and/or ordering Single trading volume is greater than the shops of corresponding popularity threshold value and/or transaction threshold as the target shops.
Optionally, the target geographic position is calculated according to the geographical location information of at least two shops users and is obtained, institute Stating target geographic position includes: the virtual coordinates point composition coordinate of the geographical location information of the shops user on the electronic map Center, center of gravity and/or the orthocenter of figure.
Optionally, if the target geographic position is the void of the geographical location information of the shops user on the electronic map Quasi-coordinate point forms the center of coordinate graphic, correspondingly, being directed to the geographical location information of any one shops user electronically Virtual coordinates point on figure: if center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is no more than preset threshold, then using the center of the coordinate graphic as The target geographic position；If center comprising the coordinate graphic including the virtual coordinates point and rejecting the virtual coordinates point Centre distance between second center of the second coordinate graphic is more than or equal to the central threshold, then by second coordinate Second center of figure is as the target geographic position.
Optionally, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops instruction execution after, the processor 602 is also used to execute following computer executable instructions: according to participate in shops The number of users of the shops user of consumption screens consumption number in shops's product of the target shops and is greater than or waits In shops's product of at least one period of the number of users；Shops's product has time attribute and by corresponding consumer The attribute of number consumption；The shops's product filtered out is recommended to the shops user.
Optionally, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops instruction execution after, the processor 602 is also used to execute following computer executable instructions: inquiring the shops History consumer record of the user in the affiliated shops's class of the target shops and/or the target shops now；If inquiring described History consumer record of the shops user in the affiliated shops's class of the target shops and/or the target shops now is then based on institute State shops's product that history consumer record recommends the target shops to the shops user.
Optionally, described to recommend the shops of the target shops to produce to the shops user based on the history consumer record Product, comprising: obtain the shops user and disappear in the history of the affiliated shops's class of the target shops and/or the target shops now Take record；Shops's product has time attribute and consumes level attributed；Disappeared based on include in the history consumer record Take grade and consumption period, recommends consumption grade to be greater than the consumption etc. in the history consumer record included for the shops user Shops's product of at least one period of grade.
Optionally, selection is matched with shops's classification in the commercial circle range of nodes locating for the target geographic position Target shops instruction execution after, the processor 602 is also used to execute following computer executable instructions: according to participate in shops The number of users of the shops user of consumption, obtains the shops user in the target shops and/or the target shops The history consumer record of affiliated shops's class now；Shops's product has time attribute, consumption level attributed and corresponding The attribute of consumption number consumption；According to including consumption grade in the history consumer record, being averaged for the shops user is determined Consume grade；Consumption number is screened in shops's product of the target shops is more than or equal to the number of users and consumption Grade is greater than shops's product of at least one period of the average consumption grade；By the shops's product filtered out to the shops User recommends.
Second of electronic equipment embodiment provided by the present application is as follows:
In the above-described embodiment, second of shops's recommended method based on geographical location is provided, in addition, the application is also Electronic equipment for realizing above-mentioned second shops's recommended method based on geographical location is provided, is said with reference to the accompanying drawing It is bright.Referring to attached drawing 7, it illustrates the schematic diagrames of second of electronic equipment provided in this embodiment.The electricity provided by the present application Sub- apparatus embodiments describe fairly simple, and relevant part refers to second of shops based on geographical location of above-mentioned offer The corresponding explanation of recommended method embodiment.Embodiment described below is only schematical.
Second of electronic equipment provided by the present application, comprising: memory 701 and processor 702；The memory 701 is used In storage computer executable instructions, the processor 702 is for executing following computer executable instructions: uploading to service side User interactive data；Detection participates in the geographical location information of the shops user of shops's consumption；The door is sent to the service side The geographical location information of shop user；It receives and is selected in the commercial circle range of nodes locating for target geographic position that the service side recommends With the matched target shops of classification of shops；Wherein, the target geographic position is believed based on the geographical location of the shops user Breath determines that shops's classification is determined based on the user interactive data.
Although the application is disclosed as above with preferred embodiment, it is not for limiting the application, any this field skill Art personnel are not departing from spirit and scope, can make possible variation and modification, therefore the guarantor of the application Shield range should be subject to the range that the claim of this application defined.
In a typical configuration, calculating equipment includes that one or more processors, input/output interface, network connect Mouth and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM), Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates Machine readable medium does not include non-temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product. Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) Formula.

Claims (10)

1. a kind of shops's recommended method based on geographical location characterized by comprising
Shops user and the shops's classification for participating in shops's consumption are determined according to the user interactive data that participant is submitted；
Obtain the geographical location information for the shops user that the participant detects；
The target geographic position for participating in shops's consumption is determined according to the geographical location information；
Selection and the matched target shops of shops's classification in the commercial circle range of nodes locating for the target geographic position；
The target shops of selection is recommended to the shops user.
2. shops's recommended method according to claim 1 based on geographical location, which is characterized in that described according to participant The user interactive data of submission determines the shops user for participating in shops's consumption and shops's classification, comprising:
Semantic analysis is carried out to the user interactive data；
Semantic analysis result is clustered according to interaction topic, and filters out from cluster result and is consumed with the participation shops Similarity meet similarity threshold target interaction topic；
Target interaction topic is parsed, the shops user for participating in shops's consumption and the participation door are obtained Shops's classification of shop consumption.
3. shops's recommended method according to claim 2 based on geographical location, which is characterized in that the commercial circle node model Shops in enclosing has consumption popularity value and order transaction amount, correspondingly, the commercial circle locating for the target geographic position is saved Selection and the matched target shops of shops's classification in point range, comprising:
Selection and at least one matched shops of shops's classification out of described commercial circle range of nodes；
According to the sequence of consumption popularity value and/or order transaction amount from high in the end, at least one is screened from the shops selected Popularity value and/or the highest shops of order transaction amount are consumed as the target shops, alternatively, filtering out from the shops of selection At least one consumption popularity value and/or order transaction amount are greater than described in shops's conduct of corresponding popularity threshold value and/or transaction threshold Target shops.
4. shops's recommended method according to claim 2 based on geographical location, which is characterized in that the target geographic position It sets to be calculated according to the geographical location information of at least two shops users and obtain, the target geographic position includes: that the shops uses Center, center of gravity and/or the orthocenter of the virtual coordinates point composition coordinate graphic of the geographical location information at family on the electronic map.
5. shops's recommended method according to claim 4 based on geographical location, which is characterized in that if the target geographic Position is the center that the virtual coordinates point of the geographical location information of the shops user on the electronic map forms coordinate graphic, phase It answers, for the geographical location information virtual coordinates point on the electronic map of any one shops user:
If the center comprising the coordinate graphic including the virtual coordinates point and the second coordinate graphic for rejecting the virtual coordinates point The second center between centre distance be no more than preset threshold, then using the center of the coordinate graphic as the target geographic Position；
If the center comprising the coordinate graphic including the virtual coordinates point and the second coordinate graphic for rejecting the virtual coordinates point The second center between centre distance be more than or equal to the central threshold, then will be in the second of second coordinate graphic The heart is as the target geographic position.
6. a kind of shops's recommendation apparatus based on geographical location characterized by comprising
Shops's consumption information determination unit, the user interactive data for being submitted according to participant determine the door for participating in shops's consumption Shop user and shops's classification；
Geographical location information acquiring unit, the geographical location for obtaining the shops user that the participant detects are believed Breath；
Target geographic position determination unit, for determining the target geographic position for participating in shops's consumption according to the geographical location information It sets；
Target shops selecting unit, for selection in the commercial circle range of nodes locating for the target geographic position and shops's class The matched target shops of mesh；
Target shops recommendation unit, the target shops for that will select is recommended to the shops user.
7. a kind of shops's recommended method based on geographical location characterized by comprising
To service side's upload user interaction data；
Detection participates in the geographical location information of the shops user of shops's consumption；
The geographical location information of the shops user is sent to the service side；
Receive matching with shops classification of selecting in the commercial circle range of nodes locating for target geographic position that the service side recommends Target shops；
Wherein, the target geographic position determines that shops's classification is based on based on the geographical location information of the shops user The user interactive data determines.
8. a kind of shops's recommendation apparatus based on geographical location characterized by comprising
User interactive data uploading unit is used for service side's upload user interaction data；
Geographical location information detection unit, for detecting the geographical location information for participating in the shops user of shops's consumption；
Geographical location information transmission unit, for sending the geographical location information of the shops user to the service side；
Receiving unit is recommended by target shops, the commercial circle node model locating for target geographic position recommended for receiving the service side Enclose interior selection with the matched target shops of classification of shops；
Wherein, the target geographic position determines that shops's classification is based on based on the geographical location information of the shops user The user interactive data determines.
9. a kind of electronic equipment characterized by comprising
Memory and processor；
The memory is for storing computer executable instructions, and for executing, the computer is executable to be referred to the processor It enables:
Shops user and the shops's classification for participating in shops's consumption are determined according to the user interactive data that participant is submitted；
Obtain the geographical location information for the shops user that the participant detects；
The target geographic position for participating in shops's consumption is determined according to the geographical location information；
Selection and the matched target shops of shops's classification in the commercial circle range of nodes locating for the target geographic position；
The target shops of selection is recommended to the shops user.
10. a kind of electronic equipment characterized by comprising
Memory and processor；
The memory is for storing computer executable instructions, and for executing, the computer is executable to be referred to the processor It enables:
To service side's upload user interaction data；
Detection participates in the geographical location information of the shops user of shops's consumption；
The geographical location information of the shops user is sent to the service side；
Receive matching with shops classification of selecting in the commercial circle range of nodes locating for target geographic position that the service side recommends Target shops；
Wherein, the target geographic position determines that shops's classification is based on based on the geographical location information of the shops user The user interactive data determines.
CN201810933791.1A 2018-08-16 2018-08-16 Shops's recommended method and device based on geographical location Pending CN109242606A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810933791.1A CN109242606A (en) 2018-08-16 2018-08-16 Shops's recommended method and device based on geographical location

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810933791.1A CN109242606A (en) 2018-08-16 2018-08-16 Shops's recommended method and device based on geographical location

Publications (1)

Publication Number Publication Date
CN109242606A true CN109242606A (en) 2019-01-18

Family

ID=65070452

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810933791.1A Pending CN109242606A (en) 2018-08-16 2018-08-16 Shops's recommended method and device based on geographical location

Country Status (1)

Country Link
CN (1) CN109242606A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919470A (en) * 2019-02-27 2019-06-21 浙江口碑网络技术有限公司 The distribution method and device of objective standing breath
CN111008331A (en) * 2019-11-29 2020-04-14 拉扎斯网络科技（上海）有限公司 Shop-side display method and device, electronic equipment and storage medium
CN111444355A (en) * 2020-03-12 2020-07-24 北京金和网络股份有限公司 Food safety dynamic ranking method and device based on geographic position
CN111488415A (en) * 2019-01-29 2020-08-04 阿里巴巴集团控股有限公司 Method and device for pushing POI information and related server
CN111737600A (en) * 2020-05-18 2020-10-02 浙江口碑网络技术有限公司 Information providing method, device and equipment and system for displaying customer information
CN111859115A (en) * 2020-06-18 2020-10-30 北京嘀嘀无限科技发展有限公司 User allocation method and system, data processing equipment and user allocation equipment
CN112200526A (en) * 2020-12-09 2021-01-08 浙江口碑网络技术有限公司 Order output method and device, computer equipment and computer readable storage medium
CN112785326A (en) * 2019-11-08 2021-05-11 广州智选网络科技有限公司 Intelligent sales promoter system based on two-dimensional code technology
CN113129113A (en) * 2021-05-13 2021-07-16 上海寻梦信息技术有限公司 Geo-fence-based store matching method, system, device and storage medium
CN113762889A (en) * 2021-08-15 2021-12-07 上海道拓医药科技股份有限公司 O2O central station system for pharmacy management and control method thereof
CN113763052A (en) * 2021-09-14 2021-12-07 胜斗士(上海)科技技术发展有限公司 Method for determining geographic service range of shop
CN116127342A (en) * 2023-04-04 2023-05-16 广州携旅信息科技有限公司 Information clustering processing method, system and platform based on hotel

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130238370A1 (en) * 2012-03-06 2013-09-12 Immersonal, Inc. Event planning and management system
US8676663B1 (en) * 2013-03-15 2014-03-18 Monscierge, Inc. Providing recommendations to hospitality customers
CN104834720A (en) * 2015-05-12 2015-08-12 百度在线网络技术（北京）有限公司 O2O (Online to Offline) mode-based interest point information display method and system
CN107016595A (en) * 2017-03-16 2017-08-04 腾讯科技（深圳）有限公司 A kind of information recommendation method, device and system
CN107391524A (en) * 2016-05-17 2017-11-24 谷歌公司 Strengthen message exchange topic

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130238370A1 (en) * 2012-03-06 2013-09-12 Immersonal, Inc. Event planning and management system
US8676663B1 (en) * 2013-03-15 2014-03-18 Monscierge, Inc. Providing recommendations to hospitality customers
CN104834720A (en) * 2015-05-12 2015-08-12 百度在线网络技术（北京）有限公司 O2O (Online to Offline) mode-based interest point information display method and system
CN107391524A (en) * 2016-05-17 2017-11-24 谷歌公司 Strengthen message exchange topic
CN107016595A (en) * 2017-03-16 2017-08-04 腾讯科技（深圳）有限公司 A kind of information recommendation method, device and system

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111488415A (en) * 2019-01-29 2020-08-04 阿里巴巴集团控股有限公司 Method and device for pushing POI information and related server
CN111488415B (en) * 2019-01-29 2023-04-18 阿里巴巴集团控股有限公司 Method and device for pushing POI information and related server
CN109919470B (en) * 2019-02-27 2021-04-27 浙江口碑网络技术有限公司 Method and device for distributing customer information
CN109919470A (en) * 2019-02-27 2019-06-21 浙江口碑网络技术有限公司 The distribution method and device of objective standing breath
CN112785326A (en) * 2019-11-08 2021-05-11 广州智选网络科技有限公司 Intelligent sales promoter system based on two-dimensional code technology
CN111008331A (en) * 2019-11-29 2020-04-14 拉扎斯网络科技（上海）有限公司 Shop-side display method and device, electronic equipment and storage medium
CN111008331B (en) * 2019-11-29 2023-09-15 拉扎斯网络科技（上海）有限公司 Store-side display method and device, electronic equipment and storage medium
CN111444355A (en) * 2020-03-12 2020-07-24 北京金和网络股份有限公司 Food safety dynamic ranking method and device based on geographic position
CN111737600A (en) * 2020-05-18 2020-10-02 浙江口碑网络技术有限公司 Information providing method, device and equipment and system for displaying customer information
CN111859115A (en) * 2020-06-18 2020-10-30 北京嘀嘀无限科技发展有限公司 User allocation method and system, data processing equipment and user allocation equipment
CN112200526B (en) * 2020-12-09 2021-03-16 浙江口碑网络技术有限公司 Order output method and device, computer equipment and computer readable storage medium
WO2022121957A1 (en) * 2020-12-09 2022-06-16 浙江口碑网络技术有限公司 Order output method and apparatus, computer device, and computer-readable storage medium
CN112200526A (en) * 2020-12-09 2021-01-08 浙江口碑网络技术有限公司 Order output method and device, computer equipment and computer readable storage medium
CN113129113A (en) * 2021-05-13 2021-07-16 上海寻梦信息技术有限公司 Geo-fence-based store matching method, system, device and storage medium
CN113762889A (en) * 2021-08-15 2021-12-07 上海道拓医药科技股份有限公司 O2O central station system for pharmacy management and control method thereof
CN113762889B (en) * 2021-08-15 2023-09-26 上海道拓医药科技股份有限公司 O2O center system for pharmacy management and control method thereof
CN113763052A (en) * 2021-09-14 2021-12-07 胜斗士(上海)科技技术发展有限公司 Method for determining geographic service range of shop
CN116127342A (en) * 2023-04-04 2023-05-16 广州携旅信息科技有限公司 Information clustering processing method, system and platform based on hotel

Similar Documents

Publication Publication Date Title
CN109242606A (en) Shops's recommended method and device based on geographical location
US10223738B1 (en) Augmented reality property system for displaying moment file of user created content tagged to location including augmented estate owner content
US20200364745A1 (en) Technologies for live entertaining and entertainment trending
US9330174B1 (en) Determining topics of interest
CN107209876A (en) Cooperate with ticketing system
CN107645530B (en) Communication method and device in virtual reality environment
CN103295148B (en) The method and apparatus generating and realizing data model
US9208444B1 (en) Determining happiness indices
EP2846561A1 (en) Method and server for information processing
CN101720542A (en) Interactive system and method
Sathi Engaging customers using big data: how Marketing analytics are transforming business
CN106875205A (en) A kind of object selection method and device
EP2864947A2 (en) Apparatus and methods of recommending multiple options to a group of remote users and forming an agreement
CN108898436A (en) Advertisement placement method and system, server and computer readable storage medium
CN103778545B (en) A kind of merchandise information processing method and system
CN113535991A (en) Multimedia resource recommendation method and device, electronic equipment and storage medium
CN104636892A (en) Management platform integrating fitness resources
CN108446786A (en) A kind of information processing method, device and electronic equipment
CN109213931A (en) Based on the shared shops's recommended method of link and device
CN110210904A (en) Bonusing method, device and storage medium based on information publication
CN108053237A (en) A kind of crowd portrayal report-generating method, advertisement placement method and platform
CN108053341A (en) Marketing management method, server, client and the system of smart travel
KR20180111751A (en) Real time online sharing apparatus of intangible or tangible goods using total sharing market platform and the methode thereof
CN114022187A (en) Multi-party gathering oriented merchant recommendation method and system
CN109451332A (en) A kind of user property labeling method, device, computer equipment and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190118

RJ01 Rejection of invention patent application after publication