Individualized recommendation method based on knowledge map

Abstract

The invention discloses an individualized recommendation method based on a knowledge map, and belongs to the technical field of knowledge maps and machine learning. The method comprises the followingsteps: 1, carrying out vectorization on goods in the knowledge map so as to acquire a vector set D and quantized values of each goods; 2, calculating goods semantic similarity between the objects according to the quantized values acquired based on the knowledge map; 3, calculating goods interaction similarity between the goods in user historical interaction data based on user behaviors; 4, calculating goods fusion similarity of the all goods according to the goods semantic similarity and the goods interaction similarity; and 5, scoring goods which are not evaluated according to the goods fusion similarity, and generating recommended lists for users according to the scores. According to the individualized recommendation method based on the knowledge map disclosed by the invention, through combination of the goods semantic similarity based on the knowledge map and the goods fusion similarity based on the user behaviors, the recommendation effect of a recommendation system is improved.

Description

technical field [0001] The invention belongs to the technical field of knowledge graph and machine learning, and in particular relates to a personalized recommendation method based on knowledge graph. Background technique [0002] With the development of information technology, network information data has shown explosive growth. When people enjoy the great convenience brought by Internet information interaction, they are also troubled by some problems, especially information wandering and information overload. The information trek problem means that when users collect information in a complex network environment, they are often attracted by some irrelevant information, lose the direction of information search or have forgotten the initial learning goals. The information overload problem means that the information around the user has exceeded the range that the user can accept, process and effectively use, and the user cannot find the information he is interested in from a l...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a personalized recommendation method based on knowledge graphs in order to solve the problem that the item-based collaborative filtering algorithm does not consider the defect of the content information of the item itself, resulting in low recommendation accuracy

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