Recommender Systems: Evaluation and Metrics
By Coursera
on Coursera
· Marketing
About This Course
In this course you will learn how to evaluate recommender systems. You will gain familiarity with several families of metrics, including ones to measure prediction accuracy, rank accuracy, decision-support, and other factors such as diversity, product coverage, and serendipity. You will learn how different metrics relate to different user goals and business goals. You will also learn how to rigorously conduct offline evaluations (i.e., how to prepare and sample data, and how to aggregate results). And you will learn about online (experimental) evaluation. At the completion of this course you will have the tools you need to compare different recommender system alternatives for a wide variety of uses.
Instructor
Michael D. Ekstrand
Frequently Asked Questions
How much does Recommender Systems: Evaluation and Metrics cost?
Visit the Recommender Systems: Evaluation and Metrics course page for current pricing and available discounts.
Who teaches Recommender Systems: Evaluation and Metrics?
Recommender Systems: Evaluation and Metrics is taught by Michael D. Ekstrand, University of Minnesota.
What skill level is Recommender Systems: Evaluation and Metrics for?
This course is designed for all levels learners.