CN112907337A - Merchant recommendation method, device and equipment based on single sponsor and multiple departure places - Google Patents

Merchant recommendation method, device and equipment based on single sponsor and multiple departure places Download PDF

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CN112907337A
CN112907337A CN202110338836.2A CN202110338836A CN112907337A CN 112907337 A CN112907337 A CN 112907337A CN 202110338836 A CN202110338836 A CN 202110338836A CN 112907337 A CN112907337 A CN 112907337A
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苏龙
江素雅
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Fujian Nuocheng Digital Technology Co ltd
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    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0639Item locations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
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    • G06Q30/0641Shopping interfaces

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Abstract

The invention discloses a merchant recommendation method based on a single sponsor and multiple departure places, which comprises the following steps: receiving a travel activity request initiated by a first user through a client, and at least displaying an operation interface for inputting a merchant type; responding to the type of a merchant input by the first user from the operation interface, and selecting departure place position information of a plurality of second users who travel with the first user; acquiring weight factors set by the first user for the first user and the plurality of second users, and comparing to obtain the user with the maximum weight factor value in the first user and the plurality of second users; after acquiring the position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor, analyzing, and recommending the optimal merchant; and automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.

Description

Merchant recommendation method, device and equipment based on single sponsor and multiple departure places
Technical Field
The invention relates to the technical field of internet, in particular to a merchant recommendation method, a merchant recommendation device and merchant recommendation equipment based on a single sponsor and multiple departure places.
Background
With the rapid development of economy in China and the improvement of living standard of people, the demands of people on external consumption, such as eating, shopping, watching movies and the like, are further improved. The popularization of smart phones and the development of mobile communication technology provide people with a more convenient and abundant mobile network service platform, so that people can enjoy mobile network services anytime and anywhere. At present, existing electronic commerce platforms in the market, such as Taobao, popular comment, Mei Tuo, Jingdong and the like, become important components of people in home and go out.
At present, in the process of recommending merchant information to a user by a mobile application program, merchants closest to the user are recommended mostly according to the current geographical position information of the user, and sequencing recommendation is performed from small to large according to physical distance. Although the method can recommend nearby merchants for the user in real time, the condition that a plurality of users have the same target is not considered. In an actual scene, most users can select to accompany friends for consumption, according to the recommendation method, the users can only select the optimal merchant by switching the starting place back and forth and depending on experience, the method is not only tedious, and the screened result is probably not the optimal choice.
Disclosure of Invention
In view of this, the present invention provides a merchant recommending method, apparatus and device based on a single sponsor and multiple origin, which can comprehensively consider multiple factors, and implement recommending the most suitable merchant to the user under multiple users of multiple origins, so as to improve the quality of life and convenience of the user.
In order to achieve the above object, the present invention provides a merchant recommendation method based on a single sponsor and multiple origin places, the method comprising:
receiving a travel activity request initiated by a first user through a client, and at least displaying an operation interface for inputting a merchant type;
responding to a merchant type input by the first user from the operation interface, and selecting departure place position information of a plurality of second users who travel with the first user, wherein the merchant type at least comprises a cinema, a restaurant and a game hall;
acquiring weight factors set by the first user for the first user and the plurality of second users, and comparing to obtain the user with the maximum weight factor value in the first user and the plurality of second users, wherein the weight factors represent the importance degree of the users;
after acquiring the position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor, analyzing, and recommending the optimal merchant;
and automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.
Preferably, after analyzing the location information corresponding to each merchant in the area near the location of the user with the maximum weight factor, recommending the optimal merchant includes:
calculating the traffic cost value of the first user and the position of each second user reaching each merchant by using a preset cost function based on the acquired position information corresponding to each merchant;
and arranging the traffic cost values in ascending order, displaying the merchant information of the merchant with the lowest traffic cost value as the optimal merchant, and recommending the optimal merchant to the first user.
Preferably, the preset cost function is defined as:
Figure BDA0002998493730000021
wherein s is the s-th merchant, kiIs the distance of the merchant from the ith user, aiThe weighting factor of the ith user.
Preferably, after the merchant is selected based on the first user, automatically generating an optimal travel route for the first user and each of the second users includes:
after the first user selects the merchant, matching the shortest transportation mode from the position of the first user and the position of each second user to the position of the merchant;
and displaying the travel route and the remaining time from the position of the first user and each second user to the position of the merchant in real time by using a preset map mapping function based on the transportation mode.
Preferably, after the selecting the merchant based on the first user and automatically generating an optimal travel route for the first user and the second user, the method further includes:
sharing the travel route to each second user through the first user so that each second user can arrange for travel.
Preferably, after sharing the travel route with each of the second users by the first user for each of the second users to schedule a trip, the method further includes:
monitoring the current positions of the first user and each second user;
and when the first user and/or any second user switches the current position, automatically updating the travel route and the remaining time corresponding to the switched current position to the merchant position.
In order to achieve the above object, the present invention further provides a merchant recommending apparatus based on a single sponsor and multiple departure places, the apparatus comprising:
the system comprises a receiving unit, a processing unit and a display unit, wherein the receiving unit is used for receiving a travel activity request initiated by a first user through a client and at least displaying an operation interface for inputting a merchant type;
the input unit is used for responding to a merchant type input by the first user from the operation interface and selecting departure place position information of a plurality of second users who travel with the first user, wherein the merchant type at least comprises a cinema, a restaurant and a game hall;
the acquiring unit is used for acquiring weight factors set by the first user for the first user and the plurality of second users, and comparing the weight factors to obtain the user with the maximum weight factor among the first user and the plurality of second users, wherein the weight factors represent the importance degree of the users;
the recommending unit is used for recommending the optimal merchant after acquiring the position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor and analyzing the position information;
and the generating unit is used for automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.
Preferably, the recommending unit further includes:
the calculating unit is used for calculating the traffic cost value of the first user and the traffic cost value of each second user reaching each merchant according to the acquired position information corresponding to each merchant and by using a preset cost function;
and the sorting unit is used for sorting the traffic cost values in an ascending order, displaying the merchant information of the merchant with the lowest traffic cost value as the optimal merchant, and recommending the optimal merchant to the first user.
Preferably, the generating unit further includes:
the matching unit is used for matching the shortest transportation mode from the position of the first user and each second user to the position of the merchant after the merchant is selected by the first user;
and the display unit is used for displaying the travel route and the remaining time from the position of the first user and each second user to the position of the merchant in real time by using a preset map mapping function based on the transportation mode.
In order to achieve the above object, the present invention further provides a merchant recommendation apparatus based on a single sponsor and multiple origins, which includes a processor, a memory, and a computer program stored in the memory, and the computer program is capable of implementing the merchant recommendation method based on a single sponsor and multiple origins as described in the above embodiment when being executed by the processor.
Has the advantages that:
according to the scheme, after a certain merchant type is selected, the first user selects the positions of other second users who travel together, the weight of each user is set according to the importance degree, the user with the highest weight value serves as a central point to recommend the optimal merchant of which the area around the user accords with the selected merchant type, and after the merchant is selected, a travel route is generated for each user. The method has the advantages that the method can comprehensively consider multiple factors, combines multiple departure places and preset weight values, recommends proper merchants for the users, plans a travel route for each user, and achieves high efficiency and accuracy of a selection scheme under the condition of multiple departure places so as to improve life quality and convenience of the users.
According to the scheme, the cost value of each user in the position to each merchant is calculated by using the preset cost function, and the merchant with the lowest cost value is recommended to the user, so that the accuracy of merchant recommendation can be greatly improved, and the travel cost of the user can be saved.
According to the scheme, the shortest traffic mode is used for matching the position of each user to reach the position of the merchant, the travel route and the remaining time of each user are displayed, more humanized information feedback can be achieved according to the user demands, and the most suitable vehicle for carrying is matched according to the road condition of each place of departure to reach the merchant, so that the convenience in travel of the user is guaranteed.
According to the scheme, the travel route is shared with each user, so that each user can conveniently arrange travel and know the travel route and time in real time.
Above scheme, through monitoring each user's current position, can update corresponding trip route and time in real time, can improve route analysis's intellectuality to improve user's convenience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a merchant recommendation method based on a single sponsor and multiple origin locations according to an embodiment of the present invention.
Fig. 2 is a diagram of a location relationship between each user and a merchant according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating a merchant recommendation method based on a single sponsor and multiple origins according to another embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a merchant recommending apparatus based on a single sponsor and multiple origins according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a merchant recommending apparatus based on a single sponsor and multiple origins according to another embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The present invention will be described in detail with reference to the following examples.
The invention provides a merchant recommending method based on a single sponsor and multiple departure places, which can comprehensively consider multiple factors and realize that the most appropriate merchant is recommended to a user under multiple users of the multiple departure places so as to improve the life quality and convenience of the user.
Fig. 1 is a schematic flow chart of a merchant recommendation method based on a single sponsor and multiple origins according to an embodiment of the present invention.
In this embodiment, the method includes:
and S11, receiving a travel activity request initiated by the first user through the client, and at least displaying an operation interface for inputting the type of the merchant.
In this embodiment, after the user installs the client APP in the terminal, the user registers or logs in to enter the operation interface of the client APP.
And S12, responding to the type of the merchant input by the first user from the operation interface and selecting the departure place position information of a plurality of second users who travel with the first user, wherein the type of the merchant at least comprises a cinema, a restaurant and a game hall.
In this embodiment, by inputting the merchant type information of the merchant according to the user requirement on the operation interface displayed by the client APP, the merchant type displayed on the operation interface can be selected, and the departure location information of other users traveling together can be selected at the same time, where the merchant type at least includes a theater, a restaurant, a game hall, a hotel, a shopping mall, and the like.
S13, obtaining the weight factors set by the first user for the first user and the plurality of second users, and comparing to obtain the user with the maximum weight factor among the first user and the plurality of second users, wherein the weight factor represents the importance degree of the user.
In this embodiment, by setting the weighting factor of each user to distinguish which user is the most important consideration object among all users, the higher the importance of the user is, the larger the weighting factor is set correspondingly.
And S14, acquiring position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor, analyzing, and recommending the optimal merchant.
After analyzing the position information corresponding to each merchant in the area near the position of the user with the maximum weight factor, recommending the optimal merchant, wherein the method comprises the following steps:
s14-1, calculating the traffic cost value of the first user and the position of each second user reaching each merchant by using a preset cost function based on the acquired position information corresponding to each merchant;
and S14-2, arranging the traffic cost values in ascending order, displaying the merchant information of the merchant with the lowest traffic cost value as the optimal merchant, and recommending the optimal merchant to the first user.
Wherein the preset cost function is defined as:
Figure BDA0002998493730000061
wherein s is the s-th merchant, i is the ith user, and kiIs the distance of the merchant from the ith user, aiThe weighting factor of the ith user.
In this embodiment, after a user with the highest weight value is taken as a central point and analyzed by using a preset cost function, an optimal merchant corresponding to the selected merchant type in the area around the user is recommended, and a travel route is generated for each user based on the selected merchant; and matching the shortest traffic mode when the position of each user reaches the position of the merchant, and displaying the travel route and the remaining time of each user.
Referring to fig. 2, a diagram of the location relationship between each user and each merchant is provided according to an embodiment. Assuming three users, the cost value for each merchant is:
Figure BDA0002998493730000071
wherein s is the s-th merchant, i is the ith user, and kiIs the distance of the merchant from the ith user, aiThe weighting factor of the ith user.
And S15, automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.
Wherein automatically generating an optimal travel route for the first user and each of the second users after the first user selects the merchant comprises:
s15-1, matching the shortest transportation mode from the position of the first user and each second user to the position of the merchant after the first user selects the merchant;
and S15-2, displaying the travel route and the remaining time from the position of the first user and each second user to the position of the merchant in real time by using a preset map mapping function based on the transportation mode.
In this embodiment, after the merchant is selected, the shortest transportation mode for the user to travel to the location of the merchant is matched according to the road condition of each departure place to reach the merchant, so that convenience in traveling of the user is ensured. In addition, when the information of the merchants is displayed on the recommendation interface, the merchant map mapping function module is arranged, the merchant map mapping labels are displayed at the same time, and the corresponding travel routes and the remaining time are visually displayed in the map by clicking the merchant map mapping labels by the user.
Fig. 3 is a schematic flow chart of a merchant recommendation method based on a single sponsor and multiple origins according to an embodiment of the present invention.
In this embodiment, the method includes:
and S31, receiving a travel activity request initiated by the first user through the client, and at least displaying an operation interface for inputting the type of the merchant.
As described above in S11, and will not be described herein.
And S32, responding to the type of the merchant input by the first user from the operation interface and selecting the departure place position information of a plurality of second users who travel with the first user, wherein the type of the merchant at least comprises a cinema, a restaurant and a game hall.
As described above in S12, and will not be described herein.
S33, obtaining the weight factors set by the first user for the first user and the plurality of second users, and comparing to obtain the user with the maximum weight factor among the first user and the plurality of second users, wherein the weight factor represents the importance degree of the user.
As described above in S13, and will not be described herein.
And S34, acquiring position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor, analyzing, and recommending the optimal merchant.
As described above in S14, and will not be described herein.
And S35, automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.
As described above in S15, and will not be described herein.
S36, sharing the travel route with each of the second users by the first user, so that each of the second users can schedule a trip.
And S37, monitoring the current positions of the first user and each second user.
And S38, when the first user and/or any second user switches the current position, automatically updating the travel route and the remaining time corresponding to the switched current position to the merchant position.
In this embodiment, the current position of each user can be monitored, the corresponding travel scheme can be obtained in real time, the corresponding travel route and time can be updated in real time, the intelligence of route analysis can be improved, and the convenience of the user can be improved.
The invention provides a merchant recommending device based on a single sponsor and multiple departure places, which can comprehensively consider multiple factors and realize that the most appropriate merchant is recommended to a user under multiple users of the multiple departure places so as to improve the life quality and convenience of the user.
Fig. 4 is a schematic structural diagram of a merchant recommending apparatus based on a single sponsor and multiple origins according to an embodiment of the present invention.
In the present embodiment, the apparatus 40 includes:
a receiving unit 41, configured to receive a travel activity request initiated by a first user through a client, and at least display an operation interface for inputting a merchant type;
an input unit 42, configured to respond to a merchant type input by the first user from the operation interface, and to select departure location information of a plurality of second users who travel with the first user, wherein the merchant type includes at least a theater, a restaurant, and a game arcade;
an obtaining unit 43, configured to obtain weight factors set by the first user for the first user and the plurality of second users, and compare the weight factors to obtain a user with a maximum weight factor among the first user and the plurality of second users, where the weight factor represents an importance degree of the user;
the recommending unit 44 is configured to obtain location information corresponding to each merchant in an area near the location of the user with the maximum weight factor, and recommend the optimal merchant;
a generating unit 45, configured to automatically generate an optimal travel route for the first user and each of the second users after the first user selects the merchant.
Fig. 5 is a schematic structural diagram of a merchant recommending apparatus based on a single sponsor and multiple origins according to another embodiment of the present invention. Unlike the previous embodiment, the apparatus 50 of the present embodiment further includes:
the sharing unit 51 is configured to share the travel route with each of the second users through the first user, so that each of the second users can schedule a trip.
And a monitoring unit 52, configured to monitor a current location of the first user and each of the second users.
An updating unit 53, configured to automatically update the travel route and the remaining time corresponding to the location of the merchant from the switched current location when the current location is switched by the first user and/or any second user.
In this embodiment, the current position of each user can be monitored, the corresponding travel route and time can be updated in real time, and the intelligence of route analysis can be improved, so that the convenience of the user is improved.
Each unit module of the apparatus 40/50 can respectively execute the corresponding steps in the above method embodiments, and therefore, the detailed description of each unit module is omitted here, please refer to the description of the corresponding steps above.
The embodiment of the invention also provides merchant recommendation equipment based on a single sponsor and multiple origins, which comprises a processor, a memory and a computer program stored in the memory, wherein the computer program can be executed by the processor to realize the merchant recommendation method based on the single sponsor and the multiple origins.
The merchant recommending device based on the single initiator and the multiple origins can comprise but is not limited to a processor and a memory. Those skilled in the art will appreciate that the schematic diagram is merely an example of a merchant recommendation device based on a single sponsor and multiple origins, and does not constitute a limitation of the merchant recommendation device based on a single sponsor and multiple origins, and may include more or fewer components than those shown, or combine some components, or different components, for example, the merchant recommendation device based on a single sponsor and multiple origins may further include an input-output device, a network access device, a bus, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor, etc., and the control center of the merchant recommendation device based on a single sponsor and multiple origins uses various interfaces and lines to connect various parts of the whole merchant recommendation device based on a single sponsor and multiple origins.
The memory may be used for storing the computer program and/or module, and the processor may implement various functions of the merchant recommendation device based on multiple origins of a single sponsor by running or executing the computer program and/or module stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The unit integrated by the merchant recommending device based on the single initiator and multiple origins can be stored in a computer readable storage medium if the unit integrated by the merchant recommending device based on the single initiator and multiple origins is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
The embodiments in the above embodiments can be further combined or replaced, and the embodiments are only used for describing the preferred embodiments of the present invention, and do not limit the concept and scope of the present invention, and various changes and modifications made to the technical solution of the present invention by those skilled in the art without departing from the design idea of the present invention belong to the protection scope of the present invention.

Claims (10)

1. A merchant recommendation method based on a single sponsor and multiple departure places is characterized by comprising the following steps:
receiving a travel activity request initiated by a first user through a client, and at least displaying an operation interface for inputting a merchant type;
responding to a merchant type input by the first user from the operation interface, and selecting departure place position information of a plurality of second users who travel with the first user, wherein the merchant type at least comprises a cinema, a restaurant and a game hall;
acquiring weight factors set by the first user for the first user and the plurality of second users, and comparing to obtain the user with the maximum weight factor value in the first user and the plurality of second users, wherein the weight factors represent the importance degree of the users;
after acquiring the position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor, analyzing, and recommending the optimal merchant;
and automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.
2. The merchant recommendation method based on the single sponsor and multiple origin as claimed in claim 1, wherein said obtaining the location information corresponding to each merchant in the vicinity of the location of the user with the maximum weighting factor for analysis, then recommending the optimal merchant, comprises:
calculating the traffic cost value of the first user and the position of each second user reaching each merchant by using a preset cost function based on the acquired position information corresponding to each merchant;
and arranging the traffic cost values in ascending order, displaying the merchant information of the merchant with the lowest traffic cost value as the optimal merchant, and recommending the optimal merchant to the first user.
3. The merchant recommendation method based on single sponsor multi-origin according to claim 2 characterized in that said preset cost function is defined as:
Figure FDA0002998493720000011
wherein s is the s-th merchant, kiIs the distance of the merchant from the ith user, aiThe weighting factor of the ith user.
4. The merchant recommendation method based on single sponsor and multiple origin according to claim 1, wherein said automatically generating optimal travel route for said first user and each said second user after said first user selects said merchant comprises:
after the first user selects the merchant, matching the shortest transportation mode from the position of the first user and the position of each second user to the position of the merchant;
and displaying the travel route and the remaining time from the position of the first user and each second user to the position of the merchant in real time by using a preset map mapping function based on the transportation mode.
5. The method for recommending merchants based on multiple origins of a single sponsor according to claim 1, wherein after said selecting the merchant based on the first user and automatically generating the optimal travel routes for the first user and the second user, further comprising:
sharing the travel route to each second user through the first user so that each second user can arrange for travel.
6. The method as claimed in claim 5, further comprising, after sharing the travel route with each of the second users by the first user for each of the second users to schedule a trip, the method for recommending a merchant based on multiple origins of the single sponsor:
monitoring the current positions of the first user and each second user;
and when the first user and/or any second user switches the current position, automatically updating the travel route and the remaining time corresponding to the switched current position to the merchant position.
7. A merchant recommendation apparatus based on a single sponsor and multiple origins, the apparatus comprising:
the system comprises a receiving unit, a processing unit and a display unit, wherein the receiving unit is used for receiving a travel activity request initiated by a first user through a client and at least displaying an operation interface for inputting a merchant type;
the input unit is used for responding to a merchant type input by the first user from the operation interface and selecting departure place position information of a plurality of second users who travel with the first user, wherein the merchant type at least comprises a cinema, a restaurant and a game hall;
the acquiring unit is used for acquiring weight factors set by the first user for the first user and the plurality of second users, and comparing the weight factors to obtain the user with the maximum weight factor among the first user and the plurality of second users, wherein the weight factors represent the importance degree of the users;
the recommending unit is used for recommending the optimal merchant after acquiring the position information corresponding to each merchant in the vicinity of the position of the user with the maximum weight factor and analyzing the position information;
and the generating unit is used for automatically generating an optimal travel route for the first user and each second user after the first user selects the merchant.
8. The merchant recommendation device based on single sponsor and multiple origin according to claim 7 is characterized in that said recommendation unit further comprises:
the calculating unit is used for calculating the traffic cost value of the first user and the traffic cost value of each second user reaching each merchant according to the acquired position information corresponding to each merchant and by using a preset cost function;
and the sorting unit is used for sorting the traffic cost values in an ascending order, displaying the merchant information of the merchant with the lowest traffic cost value as the optimal merchant, and recommending the optimal merchant to the first user.
9. The merchant recommendation device based on single sponsor and multiple origin according to claim 7 wherein said generation unit further comprises:
the matching unit is used for matching the shortest transportation mode from the position of the first user and each second user to the position of the merchant after the merchant is selected by the first user;
and the display unit is used for displaying the travel route and the remaining time from the position of the first user and each second user to the position of the merchant in real time by using a preset map mapping function based on the transportation mode.
10. A single-sponsor multi-origin-based merchant recommendation apparatus comprising a processor, a memory and a computer program stored in the memory, wherein the computer program is executable by the processor to implement a single-sponsor multi-origin-based merchant recommendation method as claimed in any one of claims 1 to 6.
CN202110338836.2A 2021-03-30 2021-03-30 Merchant recommendation method, device and equipment based on single sponsor and multiple departure places Pending CN112907337A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113901154A (en) * 2021-08-19 2022-01-07 佛山市城市规划设计研究院 Method for realizing interactive site selection by using intelligent traffic data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113901154A (en) * 2021-08-19 2022-01-07 佛山市城市规划设计研究院 Method for realizing interactive site selection by using intelligent traffic data
CN113901154B (en) * 2021-08-19 2022-06-14 佛山市城市规划设计研究院 Method for realizing interactive site selection by using intelligent traffic data

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Application publication date: 20210604