1. Recommender Systems: A Review.
- Author
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LeBlanc, Patrick M., Banks, David, Fu, Linhui, Li, Mingyan, Tang, Zhengyu, and Wu, Qiuyi
- Subjects
- *
INTERNET advertising , *MATRIX decomposition , *RECOMMENDER systems - Abstract
Recommender systems are the engine of online advertising. Not only do they suggest movies, music, or romantic partners, but they also are used to select which advertisements to show to users. This paper reviews the basics of recommender system methodology and then looks at the emerging arena of active recommender systems. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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