Recommender Systems: A Review
Patrick M. LeBlanc, David Banks, Lianqun Fu, Mingyan Li, Zhengyu Tang, Qiuyi Wu
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.
Topics & Concepts
Recommender systemComputer scienceWorld Wide WebInformation retrievalRecommender Systems and TechniquesAdvanced Bandit Algorithms ResearchImage Retrieval and Classification Techniques