Towards an approach of trust-based recommendation system

Imen Gmach, Sahbi Sidhom, Ghenima Melek, Lofi Khrifish
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引用次数: 1

Abstract

This paper focuses on the state of the art of recommender systems. It presents various technical recommendations mentioned in the literature, primarily the basic content filtering, collaborative filtering and hybrid filtering. It comes to study different recommendation algorithms based on trust. The article also introduces the concept of trust in recommender systems. And it ends with a summary of the various existing approaches by developing the link between trust and recommender systems.
一种基于信任的推荐系统方法
本文重点介绍了推荐系统的发展现状。介绍了文献中提到的各种技术建议,主要是基本内容过滤、协同过滤和混合过滤。研究了基于信任的不同推荐算法。本文还介绍了推荐系统中的信任概念。最后,通过发展信任和推荐系统之间的联系,总结了各种现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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