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Monday, December 3 • 9:30am - 10:15am
Recommender Systems: Algorithmic Fundamentals

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Recommender systems have been integrated into a wide variety of commerce, content, and other marketing systems to guide customers and users to products and information they are likely to find valuable. In this talk, we look at a diverse set of techniques for recommendation, from easy-to-implement algorithms for small systems to the high-throughput algorithms used in larger-scale deployments. We focus on understanding the key data and user assumptions behind these algorithms, and in turn where they are most likely to be useful.

avatar for Joseph Konstan, PhD

Joseph Konstan, PhD

Professor, University of Minnesota
Joseph A. Konstan is Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering at the University of Minnesota.  His research addresses a variety of human-computer interaction issues, including... Read More →

Monday December 3, 2018 9:30am - 10:15am CST
(1) Omnitheater (Access via Floor 5 or 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102