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DSCI 641 Recommender Systems 3.0 Credits

Recommender systems help users to discover products, information, or other items relevant to their interests, preferences, and current needs. Recommender systems are encountered on multiple domains including e-commerce, content and media distribution, social media, and more. The course will cover fundamental and practical aspects of recommender systems, including data, user and content models, recommendation algorithms, evaluation of recommendation, user aspects, and social impacts. Time is spent on both classical and current techniques and problems in recommendation. Students will gain hands-on experiences with assignments and a term project.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: DSCI 521 [Min Grade: B-] or CS 613 [Min Grade: B-]