Past, Present, and Future of Recommender Systems: An Industry Perspective

被引:34
作者
Amatriain, Xavier [1 ]
Basilico, Justin [2 ]
机构
[1] Quora, 650 Castro St 450, Mountain View, CA 94041 USA
[2] Netflix Inc, 121 Albright Way, Los Gatos, CA 95032 USA
来源
PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16) | 2016年
关键词
D O I
10.1145/2959100.2959144
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
When the Netflix Prize launched in 2006, it put a spotlight on the importance and use of recommender systems in real-world applications. The competition provided many lessons, and many more have been learned since the Grand Prize was awarded in 2009. The use of recommender systems in industry has continued to grow driven by the availability of many kinds of user data and the continued interest for the area within the research community. In this paper, we will describe what we see as the past, present, and future of recommender systems from an industry perspective.
引用
收藏
页码:211 / 214
页数:4
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