CN112365310A - Electronic commerce system for western-style restaurant recommendation and working method thereof - Google Patents

Electronic commerce system for western-style restaurant recommendation and working method thereof Download PDF

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CN112365310A
CN112365310A CN202011186352.2A CN202011186352A CN112365310A CN 112365310 A CN112365310 A CN 112365310A CN 202011186352 A CN202011186352 A CN 202011186352A CN 112365310 A CN112365310 A CN 112365310A
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user terminal
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store
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许毓敏
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    • G06Q30/0631—Item recommendations
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    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

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Abstract

The invention relates to an electronic commerce system for recommending western-style restaurants and a working method thereof, wherein the electronic commerce system comprises the following steps: the system comprises a cloud server, a merchant background, a user terminal and a merchant front end; the merchant front end is connected with the merchant background, in-store information is input into the merchant front end and is output to the merchant back end, and the in-store information is output to the cloud server by the merchant back end; the in-store information comprises in-store ordering information; the user terminal is also in wireless connection with the merchant front end, and the user terminal acquires ordering information through the merchant front end; the user terminal confirms the current ordering information and outputs the current ordering information to the cloud server, and the cloud server inputs the current ordering information of the user terminal; the cloud server generates a user portrait according to historical ordering information of the user terminal, and if the user submits a recommendation application to the cloud server, the cloud server recommends a restaurant to the user terminal according to the user portrait.

Description

Electronic commerce system for western-style restaurant recommendation and working method thereof
Technical Field
The invention relates to the field of restaurant recommendation, in particular to an electronic commerce system for western-style restaurant recommendation and a working method thereof.
Background
With the development of internet technology, some takeout software such as Baidu takeout, Baidu glutinous rice and other mobile group buying software is rapidly growing up. The group buying software integrates a series of local life services such as food, movies, hotels, KTV, takeout, home arrival, store payment, value cards and the like, provides high-quality and convenient preferential services for users, and receives more and more user favor.
Currently, web sites including mei-qu, popular comments, hundredth glutinous rice and the like are screened for restaurants based on the cuisine, and for example, if a user selects a Sichuan dish, the Sichuan restaurant is listed below. However, when there are many restaurants in an unfamiliar place or around, the choice of where to eat will cause trouble, although the recommendation of the website can help us to narrow the selection scope, the following problems still exist: restaurant recommendations cannot be made based on the user's offline selection.
Disclosure of Invention
The purpose of the invention is as follows:
in view of the problems mentioned in the background art, the invention provides an electronic commerce system for western-style restaurant recommendation and a working method thereof.
The technical scheme is as follows:
an e-commerce system for western restaurant recommendations comprising: the system comprises a cloud server, a merchant background, a user terminal and a merchant front end;
the cloud server is in wireless connection with the user terminal, and the merchant background is connected with the cloud server; the merchant front end is connected with the merchant background, in-store information is input into the merchant front end and is output to the merchant back end, and the in-store information is output to the cloud server by the merchant back end;
the in-store information comprises in-store ordering information;
the user terminal is also in wireless connection with the merchant front end, and the user terminal acquires ordering information through the merchant front end;
the user terminal confirms the current ordering information and outputs the current ordering information to the cloud server, and the cloud server inputs the current ordering information of the user terminal;
the cloud server generates a user portrait according to historical ordering information of the user terminal, and if the user submits a recommendation application to the cloud server, the cloud server recommends a restaurant to the user terminal according to the user portrait.
A preferred embodiment of the present invention includes:
the user terminal is wirelessly connected with the front end of the merchant within a preset connection range;
and if the linear distance between the user terminal and the front end of the merchant is greater than the preset connection range, the connection between the user terminal and the front end of the merchant is disconnected.
A preferred embodiment of the present invention includes:
the in-store information comprises in-store traffic;
the cloud server provides real-time in-store flow information to the user terminal, and the user terminal confirms the in-store condition according to the real-time in-store flow information.
A preferred embodiment of the present invention includes:
the cloud server records the in-store flow of the restaurant and generates in-store flow pictures;
the cloud server also acquires real-time in-store flow information when the user terminal is connected with the front end of the merchant and generates a flow portrait of the user terminal according to the real-time in-store flow information;
and the cloud server recommends a restaurant to the user terminal according to the flow portrait of the user terminal and the user portrait.
A preferred embodiment of the present invention includes:
the merchant backstage acquires data through the merchant front end, and one merchant backstage can correspond to a plurality of merchant front ends;
the merchant background corresponds to a unique restaurant.
A working method of an electronic commerce system for western restaurant recommendation comprises the following steps:
the user terminal is connected with the front end of the merchant, and the user terminal only acquires the ordering information through the front end of the merchant;
if the user terminal confirms the current ordering information, the front end of the merchant outputs the current ordering information to the background of the merchant;
the merchant background outputs the ordering information and the information of the user terminal to a cloud server;
the cloud server inputs the current ordering information of the user terminal;
the cloud server generates a user portrait according to the historical ordering information of the user terminal;
and if the user submits a recommendation application to the cloud server, the cloud server recommends a restaurant to the user terminal according to the user figure.
The method comprises the following steps:
the user terminal enters a preset connection range of the front end of any merchant;
if the user terminal initiates a connection request to the front end of the merchant, the user terminal is connected with the front end of the merchant;
and if the user terminal leaves the preset connection range of the front end of the connected merchant, disconnecting the user terminal from the front end of the merchant.
The method comprises the following steps:
the method comprises the following steps that a front end of a merchant acquires in-store flow information and outputs the in-store flow information to a back end of the merchant, and the back end of the merchant integrates the in-store flow information and outputs the in-store flow information to a cloud server;
and if the user terminal initiates a flow application to the cloud server, the cloud server provides real-time in-store flow information of a corresponding restaurant to the user terminal according to the restaurant applied by the user terminal.
The method comprises the following steps:
the cloud server generates an in-store flow picture according to historical in-store flow information of the restaurant;
the method comprises the steps that when a merchant background outputs ordering information and information of a user terminal to a cloud server, real-time in-store flow information is also output to the cloud server;
the cloud server generates a flow portrait of the user terminal according to real-time in-store flow information of the historical user terminal when the user terminal orders in the restaurant;
and the cloud server recommends a restaurant to the user terminal according to the flow portrait of the user terminal and the user portrait.
The invention realizes the following beneficial effects:
and a front end of a merchant is arranged, so that data in the restaurant can be better acquired.
And obtaining the portrait of the user according to the activities of the online restaurants of the user and the ordering information, and recommending the proper restaurants to the user according to the portrait. The real flow in the current store is judged according to the connection between the user terminal and the front end of the merchant, and the restaurant recommendation is performed on the user according to the flow in the store and the flow image of the user, so that the recommendation accuracy is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a system block diagram of an e-commerce system for western-style restaurant recommendations in accordance with the present invention;
FIG. 2 is a system connection diagram of an e-commerce system for western-style restaurant recommendations in accordance with the present invention;
FIG. 3 is a merchant front-end connection diagram of an e-commerce system for western-style restaurant recommendations in accordance with the present invention;
fig. 4 is a connection diagram of a user terminal of an e-commerce system for western-style restaurant recommendation according to the present invention.
The system comprises a cloud server 1, a merchant background 2, a user terminal 3 and a merchant front end 4.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments; in the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure; one skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc.; in other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale; the same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted; the structures shown in the drawings are illustrative only and do not necessarily include all of the elements; for example, some components may be split and some components may be combined to show one device.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the system part for description.
Example one
An e-commerce system for western restaurant recommendations comprising: the system comprises a cloud server 1, a merchant background 2, a user terminal 3 and a merchant front end 4.
The merchant front end 4 can be in various forms, and comprises an intelligent terminal, a wireless connection end and the like, the merchant front end 4 can be used as a transfer for the user terminal 3 to be connected with the merchant background 2, and the merchant front end 4 is mainly used for the user terminal 3 to acquire information provided by the merchant background 2 and to exchange information with the merchant background 2.
The merchant background 2 is a system background and is connected with the merchant front end 4 and the cloud server 1, and the merchant background 2 is also used for processing information in the store.
The cloud server 1 is in wireless connection with the user terminal 3, and the merchant background 2 is connected with the cloud server 1. The merchant front end 4 is connected with the merchant background 2, the merchant front end 4 inputs in-store information and outputs the in-store information to the merchant rear end, and the merchant rear end outputs the in-store information to the cloud server 1.
The merchant front-end 4 may enter information into the terminal, or the user terminal 3 may output information to the merchant front-end 4 through a connection with the merchant front-end 4.
The user terminal 3 is also in wireless connection with the merchant front end 4, and the user terminal 3 acquires ordering information through the merchant front end 4.
The in-store information includes in-store ordering information. The ordering information includes menu information of the restaurant and ordering information of the user terminal 3. The order information of the user terminal 3 is provided corresponding to the user terminal 3 based on the identification of the user terminal 3.
The user terminal 3 confirms the food ordering information, the food ordering information is output to the cloud server 1, and the cloud server 1 inputs the food ordering information of the user terminal 3.
The ordering information of the user terminal 3 is output to the cloud server 1 through the merchant background 2, the cloud server 1 sets a corresponding user terminal 3 account according to the user terminal 3, and the ordering information of the corresponding user terminal 3 is stored in the corresponding user terminal 3 account.
The account of the user terminal 3 can also store the ordering information of the user terminal 3 for many times, and is used for performing personalized recommendation of restaurants for the user terminal 3.
The cloud server 1 generates a user portrait according to historical ordering information of the user terminal 3, and if a user submits a recommendation application to the cloud server 1, the cloud server 1 recommends a restaurant to the user terminal 3 according to the user portrait.
The user portrays the food ordering type preferred by the user according to the food ordering content of the user terminal 3, for example: like a certain cuisine, like a certain taste, prefers a certain food material, etc., and the generated user figure is used for accurate recommendation.
The user terminal 3 is connected with the merchant front end 4, and the user terminal 3 only acquires the ordering information through the merchant front end 4.
If the user terminal 3 confirms the ordering information, the merchant front end 4 outputs the ordering information to the merchant background 2.
And the merchant background 2 outputs the ordering information and the information of the user terminal 3 to the cloud server 1.
The cloud server 1 inputs the current ordering information of the user terminal 3.
The cloud server 1 generates a user portrait according to the historical ordering information of the user terminal 3.
If the user proposes a recommendation application to the cloud server 1, the cloud server 1 recommends a restaurant to the user terminal 3 according to the user figure.
As a preferable mode of the present embodiment, the method includes:
the user terminal 3 is wirelessly connected with the merchant front end 4 within a preset connection range. The preset connection range can be set to be 3m-5m, the user terminals 3 in the preset connection range can be connected with the front end 4 of the merchant, and the front end 4 of the same merchant can be connected with a plurality of user terminals 3.
If the linear distance between the user terminal 3 and the front end 4 of the merchant is larger than the preset connection range, the connection between the user terminal 3 and the front end 4 of the merchant is disconnected.
The user terminal 3 enters a preset connection range of any merchant front end 4.
If the user terminal 3 initiates a connection request to the merchant front-end 4, the user terminal 3 is connected to the merchant front-end 4.
If the user terminal 3 leaves the preset connection range of the connected merchant front end 4, the user terminal 3 is disconnected from the merchant front end 4.
As a preferable mode of the present embodiment, the method includes:
the in-store information includes in-store traffic. The in-store traffic is the traffic of people in the store, and the waiting time in the store can be judged according to the in-store traffic, so that the in-store traffic can be used as an aid for restaurant recommendation.
Specifically, the merchant backend 2 may determine the in-store traffic according to the number of the user terminals 3 connected to the merchant front-end 4 and the number of the user terminals 3 that confirm the ordering information through the merchant front-end 4.
If the user terminal 3 is in the equipotential state, the front end 4 of the merchant in the equipotential area is set, and the number of the equipotential persons is judged according to the connection number of the front end 4 of the merchant in the equipotential area.
The cloud server 1 provides real-time in-store traffic information to the user terminal 3, and the user terminal 3 confirms the in-store situation according to the real-time in-store traffic information.
The merchant front end 4 acquires the in-store flow information and outputs the in-store flow information to the merchant background 2, and the merchant background 2 integrates the in-store flow information and outputs the in-store flow information to the cloud server 1.
If the user terminal 3 initiates a flow application to the cloud server 1, the cloud server 1 provides real-time in-store flow information of a corresponding restaurant to the user terminal 3 according to the restaurant applied by the user terminal 3.
The user terminal 3 confirms whether to go to the restaurant for eating or not based on the real-time in-store flow rate information.
As a preferable mode of the present embodiment, the method includes:
the cloud server 1 records the in-store flow of the restaurant and generates in-store flow images.
The in-store flow image is the fluctuation characteristic of the in-store flow, the in-store flow fluctuates according to different time periods, and the peak time can be avoided if the user goes to the time period with smaller flow.
The cloud server 1 also obtains real-time in-store flow information when the user terminal 3 is connected with the merchant front-end 4, and generates a flow portrait of the user terminal 3 according to the real-time in-store flow information.
The flow image of the user terminal 3 is to determine whether the user intends to the flow peak in the store, and the user can judge whether the store is in the flow peak when ordering.
The cloud server 1 recommends a restaurant to the user terminal 3 based on the traffic profile and the user profile of the user terminal 3.
The cloud server 1 generates an in-store traffic image from the historical in-store traffic information of the restaurant.
When the merchant background 2 outputs the current ordering information and the information of the user terminal 3 to the cloud server 1, real-time in-store flow information is also output to the cloud server 1.
The cloud server 1 generates a flow image of the user terminal 3 from the historical real-time in-store flow information of the user terminal 3 when ordering in the restaurant.
The cloud server 1 recommends a restaurant to the user terminal 3 based on the traffic profile and the user profile of the user terminal 3.
As a preferable mode of the present embodiment, the method includes:
the merchant backstage 2 obtains data through the merchant front end 4, and one merchant backstage 2 can correspond to a plurality of merchant front ends 4.
Merchant back office 2 corresponds to a unique restaurant.
The merchant back office 2 may be a merchant's system back office, which may be connected to a plurality of merchant front ends 4. The merchant front end 4 can be in various forms, and comprises an intelligent terminal, a wireless connection end and the like, the merchant front end 4 can be used as a transfer for the user terminal 3 to be connected with the merchant background 2, and the merchant front end 4 is mainly used for the user terminal 3 to acquire information provided by the merchant background 2 and to exchange information with the merchant background 2.
A plurality of merchant front-ends 4 can be arranged in one restaurant, and the merchant front-ends 4 are all connected with the same merchant background 2.
Example two
A working method of an electronic commerce system for western restaurant recommendation comprises the following steps:
the user terminal 3 is connected with the merchant front end 4, and the user terminal 3 only acquires the ordering information through the merchant front end 4.
If the user terminal 3 confirms the ordering information, the merchant front end 4 outputs the ordering information to the merchant background 2.
And the merchant background 2 outputs the ordering information and the information of the user terminal 3 to the cloud server 1.
The cloud server 1 inputs the current ordering information of the user terminal 3.
The cloud server 1 generates a user portrait according to the historical ordering information of the user terminal 3.
If the user proposes a recommendation application to the cloud server 1, the cloud server 1 recommends a restaurant to the user terminal 3 according to the user figure.
As a preferable mode of the present embodiment, the method includes the steps of:
the user terminal 3 enters a preset connection range of any merchant front end 4.
If the user terminal 3 initiates a connection request to the merchant front-end 4, the user terminal 3 is connected to the merchant front-end 4.
If the user terminal 3 leaves the preset connection range of the connected merchant front end 4, the user terminal 3 is disconnected from the merchant front end 4.
As a preferable mode of the present embodiment, the method includes the steps of:
the merchant front end 4 acquires the in-store flow information and outputs the in-store flow information to the merchant background 2, and the merchant background 2 integrates the in-store flow information and outputs the in-store flow information to the cloud server 1.
If the user terminal 3 initiates a flow application to the cloud server 1, the cloud server 1 provides real-time in-store flow information of a corresponding restaurant to the user terminal 3 according to the restaurant applied by the user terminal 3.
As a preferable mode of the present embodiment, the method includes the steps of:
the cloud server 1 generates an in-store traffic image from the historical in-store traffic information of the restaurant.
When the merchant background 2 outputs the current ordering information and the information of the user terminal 3 to the cloud server 1, real-time in-store flow information is also output to the cloud server 1.
The cloud server 1 generates a flow image of the user terminal 3 from the historical real-time in-store flow information of the user terminal 3 when ordering in the restaurant.
The cloud server 1 recommends a restaurant to the user terminal 3 based on the traffic profile and the user profile of the user terminal 3.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.

Claims (9)

1. An electronic commerce system for western restaurant recommendations, comprising: the system comprises a cloud server (1), a merchant background (2), a user terminal (3) and a merchant front end (4);
the cloud server (1) is in wireless connection with the user terminal (3), and the merchant background (2) is connected with the cloud server (1); the merchant front end (4) is connected with the merchant background (2), in-store information is input into the merchant front end (4) and output to the merchant rear end, and the in-store information is output to the cloud server (1) by the merchant rear end;
the in-store information comprises in-store ordering information;
the user terminal (3) is also in wireless connection with the merchant front end (4), and the user terminal (3) acquires ordering information through the merchant front end (4);
the user terminal (3) confirms the current ordering information and outputs the current ordering information to the cloud server (1), and the cloud server (1) inputs the current ordering information of the user terminal (3);
the method comprises the steps that a user portrait is generated by the cloud server (1) according to historical ordering information of a user terminal (3), and if a user proposes a recommendation application to the cloud server (1), the cloud server (1) recommends a restaurant to the user terminal (3) according to the user portrait.
2. An electronic commerce system for western restaurant recommendations according to claim 1 comprising:
the user terminal (3) is in wireless connection with the merchant front end (4) within a preset connection range;
and if the linear distance between the user terminal (3) and the front end (4) of the merchant is larger than the preset connection range, the connection between the user terminal (3) and the front end (4) of the merchant is disconnected.
3. An electronic commerce system for western restaurant recommendations according to claim 1 comprising:
the in-store information comprises in-store traffic;
the cloud server (1) provides real-time in-store flow information to the user terminal (3), and the user terminal (3) confirms the in-store situation according to the real-time in-store flow information.
4. An e-commerce system for western restaurant recommendations according to claim 3 comprising:
the cloud server (1) inputs the in-store flow of the restaurant and generates an in-store flow picture;
the cloud server (1) also acquires real-time in-store flow information when the user terminal (3) is connected with the merchant front end (4) and generates a flow image of the user terminal (3) according to the real-time in-store flow information;
the cloud server (1) recommends a restaurant to the user terminal (3) according to the flow portrait of the user terminal (3) and the user portrait.
5. An electronic commerce system for western restaurant recommendations according to claim 1 comprising:
the merchant background (2) acquires data through the merchant front-ends (4), and one merchant background (2) can correspond to a plurality of merchant front-ends (4);
the merchant background (2) corresponds to a unique restaurant.
6. A method of operation of an e-commerce system for western restaurant recommendations according to any one of claims 1-5 comprising the steps of:
the user terminal (3) is connected with the merchant front end (4), and the user terminal (3) only acquires ordering information through the merchant front end (4);
if the user terminal (3) confirms the ordering information, the front end (4) of the merchant outputs the ordering information to the background (2) of the merchant;
the merchant background (2) outputs the current ordering information and the information of the user terminal (3) to the cloud server (1);
the cloud server (1) inputs the current ordering information of the user terminal (3);
the cloud server (1) generates a user portrait according to the historical ordering information of the user terminal (3);
if the user proposes a recommendation application to the cloud server (1), the cloud server (1) recommends a restaurant to the user terminal (3) according to the user figure.
7. The method of operation of an e-commerce system for western restaurant recommendations as recited in claim 6, comprising the steps of:
the user terminal (3) enters a preset connection range of the front end (4) of any merchant;
if the user terminal (3) initiates a connection request to the merchant front end (4), the user terminal (3) is connected with the merchant front end (4);
and if the user terminal (3) leaves the preset connection range of the connected front end (4) of the merchant, the user terminal (3) is disconnected with the front end (4) of the merchant.
8. The method of operation of an e-commerce system for western restaurant recommendations as recited in claim 6, comprising the steps of:
the method comprises the following steps that a merchant front end (4) acquires in-store flow information and outputs the in-store flow information to a merchant background (2), and the merchant background (2) integrates the in-store flow information and outputs the in-store flow information to a cloud server (1);
if the user terminal (3) initiates a flow application to the cloud server (1), the cloud server (1) provides real-time in-store flow information of a corresponding restaurant to the user terminal (3) according to the restaurant applied by the user terminal (3).
9. The method of operation of an electronic commerce system for western restaurant recommendations as recited in claim 8, comprising the steps of:
the cloud server (1) generates an in-store flow picture according to historical in-store flow information of a restaurant;
when the merchant background (2) outputs the current ordering information and the information of the user terminal (3) to the cloud server (1), real-time in-store flow information is also output to the cloud server (1);
the cloud server (1) generates a flow image of the user terminal (3) according to real-time in-store flow information of the historical user terminal (3) when ordering in a restaurant;
the cloud server (1) recommends a restaurant to the user terminal (3) according to the flow portrait of the user terminal (3) and the user portrait.
CN202011186352.2A 2020-10-30 2020-10-30 Electronic commerce system for western-style restaurant recommendation and working method thereof Pending CN112365310A (en)

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