基于知识图谱的推荐研究综述

Survey of Recommendation Research Based on Knowledge Graph

随着信息技术的发展,人们进入大数据时代,面临的一个问题就是信息过载,而推荐系统是解决信息过载的一个有效手段。最近,许多基于深度学习的网络嵌入方法被应用于推荐领域。但是,这些方法仍然存在一些局限性,例如数据稀疏性和可解释性问题。本文综述应用知识图谱来解决推荐系统中的稀疏性和可解释性的问题。

With the development of information technology,people have entered the era of big data.One of the problems faced is information overload.Recommendation system is an effective means to solve this problem.Recently,many network-embedding methods based on deep learning have been applied in the recommendation field.However,these methods still exist some limitations,such as data sparsity and interpretabili⁃ty issues.This article reviews the application of knowledge graphs to solve those problems in the recommended systems.