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Recommended Systems Resource Center


Overview of Recommender Systems
"Human Benchmarking of Recommender Systems"
Article: "HUBRIS: Human Benchmarking of Recommender Systems." Discusses search interfaces, browser interfaces, systems that predict user tastes, community and expert opinions, analysis of music recommender systems, and an analysis of book and movie recommender systems.
"Beyond Recommender Systems"
"Beyond Recommender Systems: Helping People Help Each Other" by Loren Terveen and Will Hill (AT&T Labs Research). Topics include an introduction to recommender systems, examples and concepts, a model of the recommendation process, issues for computational recommender systems, major types of recommender systems (content-based, recommendation support, social data mining and collaborative filtering), current challenges and new opportunities.

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Update :: December 15, 2019