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An intelligent recommendation system and method based on catering o2o e-commerce platform

An e-commerce platform and intelligent technology, applied in business, data processing applications, sales/lease transactions, etc., can solve problems such as inability to analyze and recommend

Inactive Publication Date: 2020-01-17
广州市供销社农产品经营有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the disadvantage of this recommendation method is that it can only obtain online user data based on the user’s ordering operation on the e-commerce platform for relevant recommendations, and cannot analyze the preference of offline users for a certain food to make recommendations.

Method used

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  • An intelligent recommendation system and method based on catering o2o e-commerce platform
  • An intelligent recommendation system and method based on catering o2o e-commerce platform
  • An intelligent recommendation system and method based on catering o2o e-commerce platform

Examples

Experimental program
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Effect test

Embodiment 1

[0041] Please refer to Figure 1-Figure 3 , figure 1 Schematic diagram of the structure of the intelligent recommendation system provided by the present invention; figure 2 The top view of the lunch box provided by the present invention; image 3 The left view of the lunch box provided by the present invention; Figure 4 It is the right view of the lunch box provided by the present invention. Specifically, this embodiment provides an intelligent recommendation system based on a catering O2O e-commerce platform, including: a cloud server 1, an e-commerce server 2, a merchant client 3, and an e-commerce platform provided to the merchant and then provided to the user by the merchant. The recyclable lunch box 4 of recovery; the lunch box 4 is divided into upper and lower layers, and the upper layer 5 is divided into several food troughs 6, and each food trough 6 is correspondingly provided with a trough number and the bottom is provided with a trough corresponding to the troug...

Embodiment 2

[0066] Please refer to Figure 5 , Figure 5 It is a schematic flow chart of the intelligent recommendation method provided by the present invention. Specifically, this embodiment provides an intelligent recommendation method based on a catering O2O e-commerce platform, using the intelligent recommendation system described in claim 1, the method comprising the following steps:

[0067] Step1. The merchant client sends the food name corresponding to the slot number input by the merchant to the CPU processor through the wireless communication module;

[0068] Step2, the CPU processor sends the first weighing signal to the miniature load cell corresponding to the slot number according to the food name corresponding to the slot number;

[0069] Step3. The miniature load cell weighs the food trough arranged above for the first time according to the first weighing signal and returns the first weighing data to the CPU processor;

[0070] Step4, the CPU processor stores the food name...

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Abstract

The invention relates to an intelligent recommendation system and method based on a catering O2O electronic commerce platform. The system comprises a cloud server, an electronic commerce server, a merchant client, and food containers that are provided by an electronic commerce platform to merchants, then provided by the merchants to users, and can be recycled and reutilized. Each food container is divided into an upper layer and a lower layer. Each upper layer is separated into a plurality of food tanks, each food tank is provided with a corresponding tank number, and the bottom of each food tank is equipped with a miniature weighing sensor corresponding to the tank number. Each lower layer is provided with a CPU processor connected with the miniature weighing sensors and also a memory and a wireless communication module connected to the CPU processor, and the wireless communication module is used for transmitting wireless data with the cloud server and the electronic commerce server. According to the invention, an intelligent recommendation mode can better meet actual needs of users, more food recommendation ways can be offered on the basis of a conventional electronic commerce platform, and different preference degrees of users for food in an actual environment can be effectively detected.

Description

technical field [0001] The present invention relates to the field of e-commerce, in particular to an intelligent recommendation system and method based on a catering O2O e-commerce platform. Background technique [0002] E-commerce refers to the activities of conducting transaction activities and related services in the form of electronic transactions on the Internet, Intranet and Value Added Network (VAN, Value Added Network). networking. E-commerce usually refers to a wide range of commercial and trade activities around the world, under the open network environment of the Internet, based on the browser / server application mode, buyers and sellers conduct various business and trade activities without meeting each other, so as to realize online shopping for consumers and merchants. A new type of business operation model for online transactions and online electronic payments, as well as various business activities, transaction activities, financial activities and related comp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 徐建红
Owner 广州市供销社农产品经营有限公司