Online Course
Recommender Systems: Evaluation and Metrics
- Provider Coursera
- Cost Free Online Course (Audit)
- Session In progress
- Language English
- Certificate Paid Certificate Available
- Duration 4 weeks long
- Learn more about MOOCs
Taken this course? Share your experience with other students. Write review
Become a Data Scientist
datacamp.com
Learn Python & R at your own pace. Start now for free!
AD
Class Central Custom Lists
Build and share your own catalog of courses with Class Central's custom lists.
Overview
Class Central Tips
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.
Syllabus
Preface
Basic Prediction and Recommendation Metrics
Advanced Metrics and Offline Evaluation
Online Evaluation
Evaluation Design
Basic Prediction and Recommendation Metrics
Advanced Metrics and Offline Evaluation
Online Evaluation
Evaluation Design
Taught by
Michael D. Ekstrand and Joseph A Konstan
Tags
Help Center
Most commonly asked questions about Coursera
Reviews for Coursera's Recommender Systems: Evaluation and Metrics Based on 0 reviews
- 5 star 0%
- 4 star 0%
- 3 star 0%
- 2 star 0%
- 1 star 0%
Did you take this course? Share your experience with other students.
Write a review
Never Stop Learning!
