About this Course

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Approx. 7 hours to complete
English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 7 hours to complete
English

Offered by

Placeholder

University of Minnesota

Syllabus - What you will learn from this course

Week
1

Week 1

14 minutes to complete

Preface

14 minutes to complete
2 videos (Total 14 min)
2 videos
The Goals of Evaluation10m
2 hours to complete

Basic Prediction and Recommendation Metrics

2 hours to complete
5 videos (Total 57 min), 1 reading, 1 quiz
5 videos
Prediction Accuracy Metrics12m
Decision Support Metrics16m
Rank-Aware Top-N Metrics18m
Assignment Intro Video2m
1 reading
Metric Computation Assignment Instructions10m
1 practice exercise
Basic Prediction and Recommendation Metrics Assignment30m
Week
2

Week 2

2 hours to complete

Advanced Metrics and Offline Evaluation

2 hours to complete
6 videos (Total 76 min), 1 reading, 2 quizzes
6 videos
Additional Item and List-Based Metrics18m
Experimental Protocols13m
Unary Data Evaluation11m
Temporal Evaluation of Recommenders (Interview with Neal Lathia)12m
Programming Assignment Introduction8m
1 reading
Evaluating Recommenders10m
2 practice exercises
Offline Evaluation and Metrics Quiz30m
Programming Assignment Quiz30m
Week
3

Week 3

2 hours to complete

Online Evaluation

2 hours to complete
4 videos (Total 66 min)
4 videos
Usage Logs and Analysis10m
A/B Studies (Field Experiments)11m
User-Centered Evaluation (Interview with Bart Knijnenburg)25m
1 practice exercise
Online Evaluation Quiz30m
Week
4

Week 4

1 hour to complete

Evaluation Design

1 hour to complete
3 videos (Total 31 min), 2 readings, 1 quiz
3 videos
Case Examples17m
Assignment Intro Video2m
2 readings
Intro to Assignment: Evaluation Design Cases10m
Quiz Debrief10m
1 practice exercise
Assignment: Evaluation Design Cases30m

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About the Recommender Systems Specialization

Recommender Systems

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