Recommender Systems

Recommender Systems

SI 583 - Recommender Systems
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by University of Michigan

Recommender systems guide people to interesting materials based on information from other people. A large design space of alternative ways to organize such systems exists. The information that other people provide may come from explicit ratings, tags, or reviews, or implicitly from how they spend their time or money. The information can be aggregated and used to select, filter, or sort items. The recommendations may be personalized to the preferences of different users.



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Source: University of Michigan

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