协同过滤推荐研究综述

Collaborative filtering recommendation research

推荐技术是目前在很多领域中广泛使用的技术之一。而协同过滤推荐算法是应用在推荐技术中很成功的算法。主要介绍了协同过滤推荐技术,总结了当前推荐算法的传统方法、改进算法以及性能评测方法。同时,分析了协同过滤推荐算法中的问题以及相应的解决办法。最后阐述了协同过滤推荐系统中仍需解决的问题和未来可能的发展方向。

Recommendation technology has been one widely applied technology in many fields, and collaborative filtering recom- mendation algorithm is one of the most recognized progress in this community due to its non-content-based nature. In this article, we give a comprehensive review of the research work on collaborative filtering based recommendation, including theory basis, evalu- ation methods, successful and representative applications and open issues. It can be a reference for academic researchers as well as applicants.