Personalized diet recommendation method and system based on knowledge graph

Abstract

The invention discloses a personalized diet recommendation method and system based on a knowledge graph. The method comprises the steps: acquiring menu data of a knowledge base, extracting attribute information of a menu, and constructing a menu entity node; acquiring existing user historical behavior data, calculating similarity between menus, and generating a menu knowledge graph according to the similarity; according to the menu knowledge graph, generating a first recommendation candidate set with high similarity with the historical behavior data of the user; calculating the tendency degree of the user to the menu attributes, and generating a relation graph of the user and the menu attributes; screening out an optimized second recommendation candidate set according to a relation graph of the user and menu attributes; calculating and generating a relation graph between the users according to the relation graph between the users and the menu attributes; and generating a final recommendation candidate list according to the relation graph between the users and the collection behaviors of the target similar users. According to the method, layer-by-layer recommendation list screening is carried out based on the multiple knowledge graphs, and accurate personalized recommendation is realized.

Description

technical field [0001] The invention belongs to the technical field of diet intelligent recommendation, and in particular relates to a method and system for personalized diet recommendation based on a knowledge map. Background technique [0002] With the advent of the information age, information technology has made important progress. How to find the target information of interest in massive data information has become a research hotspot. At present, the mainstream method is mainly the collaborative filtering algorithm based on the user rating mechanism. This algorithm solves the problem of fast similarity search and matching of information to a certain extent, but the algorithm still has some shortcomings, such as cold start and other problems. Food is the most important thing for the people. Chinese recipes have obvious characteristics and a huge number. How to help users obtain the most interesting recipes is obviously a complicated problem. Contents of the invention ...

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Problems solved by technology

[0003] In view of this, the present invention proposes a personalized diet recommendation method and system based on knowledge graphs to solve the problem of low accuracy in recipe recommendation and help users obtain the most interesting recipes

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