Joseph A. Konstan

Joseph A. Konstan is Distinguished McKnight University Professor and Distinguished University Teaching Professor of Computer Science and Engineering at the University of Minnesota. His research addresses a variety of human-computer interaction issues, including recommender systems, social computing, and applications of computing to public health. His work on the GroupLens Recommender System won the 2010 ACM Software Systems Award. Professor Konstan has been recognized for his teaching through both University and College teaching awards. He has given popular webinars on recommender systems and on ethical issues in social computing research, and has taught dozens of short courses and tutorials on recommender systems, human-computer interaction, and related topics. Dr. Konstan received his A.B. from Harvard (1987) and his M.S. (1990) and Ph.D. (1993) from the University of California, Berkeley, all in Computer Science. He has been elected a Fellow of the ACM, IEEE, and AAAS, and a member of the CHI Academy. He is also a past President of ACM SIGCHI, the 4500-member Special Interest Group on Human-Computer Interaction, a member of the ACM Council, and vice-Chair of ACM's Publications Board. He chaired the first ACM Conference on Recommender Systems in 2007, as well as other conferences including ACM UIST 2003 and ACM CHI 2012.
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Nearest Neighbor Collaborative Filtering (Coursera) Coursera
University of Minnesota

Nearest Neighbor Collaborative Filtering (Coursera)

Dive into the world of personalized recommendation systems with our Nearest Neighbor Collaborative Filtering course. Master the fundamentals of making customized suggestions by understanding how algorithms identify and combine ratings from users with similar preferences. Perfect for data enthusiasts and professionals aiming to enhance user experience through targeted recommendations.

Aug 10th 2026
4 Weeks
Prototyping and Design (Coursera) Coursera
University of Minnesota

Prototyping and Design (Coursera)

Discover how to effectively design and prototype user interfaces that cater to your users' needs with our Prototyping and Design course on Coursera. This course will guide you through the process of creating low-fidelity prototypes, applying graphic design principles, utilizing design patterns, crafting a compelling design rationale, and designing for accessibility.

Aug 10th 2026
4 Weeks
Recommender Systems: Evaluation and Metrics (Coursera) Coursera
University of Minnesota

Recommender Systems: Evaluation and Metrics (Coursera)

Dive into the world of Recommender Systems with this Coursera course designed to teach you the evaluation techniques and metrics crucial for optimizing recommendation algorithms. From measuring prediction accuracy to assessing rank accuracy and decision-support, this course will equip you with a deep understanding of how different factors like diversity and serendipity impact user experience and business success.

Aug 3rd 2026
4 Weeks
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