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学生对 明尼苏达大学 提供的 Recommender Systems: Evaluation and Metrics 的评价和反馈

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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....



Dec 13, 2019

Wonderful course provide realtime examples of the pros and cons of each approach and metric, very useful and enjoyable


Jul 18, 2017

wonderful!!! They teach a lot what I did not expect!


1 - Recommender Systems: Evaluation and Metrics 的 25 个评论(共 32 个)

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