Michael D. Ekstrand

Michael D. Ekstrand is an assistant professor in the Department of Computer Science at Boise State University. His research focuses on how to evaluate and understand recommender systems in terms of user goals and information needs, as well as how to support reproducible recommender systems research. He is the lead developer of LensKit, an open-source toolkit for building, researching, and studying recommender systems.

Coursera

University of Minnesota

Recommender Systems: Evaluation and Metrics (Coursera)

Data Science

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.

Jun 22nd 2026

4 Weeks

Machine Learning Recommender Systems Evaluation

Coursera

University of Minnesota

Matrix Factorization and Advanced Techniques (Coursera)

Data Science

Explore a comprehensive course on Coursera that delves into the intricacies of Matrix Factorization and Advanced Techniques. Learn how to construct powerful recommender systems by mastering dimensionality reduction and combining various algorithms effectively.

Jun 15th 2026

5-12 Weeks

Machine Learning Matrix Recommender Systems

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