推荐系统研究进展.pdf

朱扬勇，孙 婧.推荐系统研究进展[J].计算机科学与探索，2015 ，9（5）：513-525. ISSN 1673-9418 CODEN JKYTA8 E-mail: fcst@vip. 163.com Journal of Frontiers of Computer Science and Technology 1673-9418/2015/09(05)-0513-13 Tel: +86-10 doi: 10.3778/j.issn. 1673-9418.1412023 推荐系统研究进展* 1,2 1,2+ 朱扬勇 ，孙 婧 1. 上海市数据科学重点实验室（复旦大学），上海 201203 2. 复旦大学 计算机科学技术学院，上海 201203 Recommender System: Up to Now ZHU Yangyong1,2 , SUN Jing1,2+ 1. Shanghai Key Laboratory of Data Science, Fudan University, Shanghai 201203, China 2. School of Computer Science, Fudan University, Shanghai 201203, China + Corresponding author: E-mail: jingsun@ ZHU Yangyong, SUN Jing. Recommender system: up to now. Journal of Frontiers of Computer Science and Technology, 2015, 9(5) ：513-525. Abstract: Recommender system is the product of cyber age today. There have been many achievements in research and application. This paper makes a comprehensive survey of the recommender system. It proposes three research phases, and points out the milestone events in each stage of recommender system development. In the age of big data, exploiting recommendation in the perspective of data, this paper classifies the recommender system into seven main classes according to the different data used in recommendation, and analyzes and comments the recommended models used in each classification and their advantages and disadvantages. Exploiting big data in the perspective of recom- mendation, this paper proposes that making recommendation based on big data is one of the promising research direc- tions. Finally, this paper compares the evaluation metrics of recommendation, and gives future research direction