A pre-packaged food recommendation system which intelligently generates labels

Abstract

The invention discloses a pre-packaged food recommendation system for intelligently generating labels, comprising a pre-packaged food recommendation system for intelligently generating labels, whereinthe pre-packaged food comprises a plurality of original ingredients; The recommendation system comprises a storage module, an information collection module, a quality identification module, a first mark generation module, a crawler acquisition module, an interpretation identification module, a second mark generation module, a retrieval module, a recommendation processing module, a recommendationfeedback module, a mark screening module, a user interaction module, a judgment module and an article acquisition module, The technical scheme has the beneficial effects that the relevant contents ofthe prepackaged food and the personalized requirements of users for the prepackaged food are obtained through the network crawler technical channel, the marks of the prepackaged food are intelligentlygenerated, and the combination of the marks and the intelligent recommendation system helps users to select products more easily and quickly.

Description

technical field [0001] The invention relates to the field of intelligent recommendation systems, in particular to a prepackaged food recommendation system for intelligently generating labels. Background technique [0002] With the development of information technology and the Internet, people have gradually entered an era of information overload from an era of information scarcity. Consumers are often at a loss when faced with numerous choices, unknown fields, and overloaded information; at the same time, businesses are also Hard to find the right consumers, looking for the most convenient channels. In this era, both as a consumer and as a producer have encountered great challenges. As a consumer, it is very difficult to find the most suitable product that you are interested in from a large number of products. As a producer, how to make the products you produce stand out and be welcomed by consumers is also a very difficult thing. The best tool to solve this kind of contra...

AI Technical Summary

Problems solved by technology

[0004] The existing recommendation system, whether it is a content recommendation algorithm or a collaborative filtering algorithm, has the problem of poor recommendation effect. Exploring the recommendation method that allows consumers to quickly and easily purchase the products they want has become one of the biggest topics of the recommendation system.

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