About this Course

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Flexible deadlines
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Approx. 15 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. 15 hours to complete
English

Offered by

Placeholder

University of Minnesota

Syllabus - What you will learn from this course

Week
1

Week 1

13 minutes to complete

Preface

13 minutes to complete
1 video (Total 3 min), 1 reading
1 video
1 reading
Course Structure Outline10m
1 hour to complete

User-User Collaborative Filtering Recommenders Part 1

1 hour to complete
5 videos (Total 85 min)
5 videos
Configuring User-User Collaborative Filtering9m
Influence Limiting and Attack Resistance; Interview with Paul Resnick21m
Trust-Based Recommendation; Interview with Jen Golbeck15m
Impact of Bad Ratings; Interview with Dan Cosley13m
Week
2

Week 2

5 hours to complete

User-User Collaborative Filtering Recommenders Part 2

5 hours to complete
2 videos (Total 13 min), 2 readings, 3 quizzes
2 videos
Programming Assignment - Programming User-User Collaborative Filtering4m
2 readings
Assignment Instructions: User-User CF10m
Introducing User-User CF Programming Assignment10m
2 practice exercises
User-User CF Answer Sheet30m
User-User Collaborative Filtering Quiz30m
Week
3

Week 3

1 hour to complete

Item-Item Collaborative Filtering Recommenders Part 1

1 hour to complete
6 videos (Total 70 min)
6 videos
Item-Item Algorithm16m
Item-Item on Unary Data6m
Item-Item Hybrids and Extensions4m
Strengths and Weaknesses of Item-Item Collaborative Filtering9m
Interview with Brad Miller16m
Week
4

Week 4

6 hours to complete

Item-Item Collaborative Filtering Recommenders Part 2

6 hours to complete
2 videos (Total 10 min), 2 readings, 5 quizzes
2 videos
Programming Assignment - Programming Item-Item Collaborative Filtering4m
2 readings
Item-Based CF Assignment Instructions10m
Introducing Item-Item CF Programming Assignment10m
4 practice exercises
Item Based Assignment Part l30m
Item Based Assignment Part II30m
Item Based Assignment Part III30m
Item Based Assignment Part IV30m
2 hours to complete

Advanced Collaborative Filtering Topics

2 hours to complete
5 videos (Total 73 min)
5 videos
Recommending for Groups: Interview with Anthony Jameson14m
Threat Models11m
Explanations16m
Explanations, Part II: Interview with Nava Tintarev17m
1 practice exercise
Item-Based and Advanced Collaborative Filtering Topics Quiz30m

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About the Recommender Systems Specialization

Recommender Systems

Frequently Asked Questions

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