When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Recommender Systems: Evaluation and Metrics

4 days left! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Recommender Systems: Evaluation and Metrics

This course is part of Recommender Systems Specialization

Instructors: Michael D. Ekstrand

14,016 already enrolled

Included with

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

236 reviews

7 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

236 reviews

7 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Recommender Systems Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in 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.

Module details

What's included

2 videos

What's included

5 videos1 reading1 assignment

What's included

6 videos1 reading2 assignments

6 videosTotal 76 minutes

Beyond Basic Evaluation11 minutes
Additional Item and List-Based Metrics19 minutes
Experimental Protocols13 minutes
Unary Data Evaluation11 minutes
Temporal Evaluation of Recommenders (Interview with Neal Lathia)13 minutes
Programming Assignment Introduction9 minutes

1 readingTotal 10 minutes

Evaluating Recommenders10 minutes

2 assignmentsTotal 52 minutes

Offline Evaluation and Metrics Quiz22 minutes
Programming Assignment Quiz30 minutes

What's included

4 videos1 assignment

What's included

3 videos2 readings1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(8 ratings)

Michael D. Ekstrand

University of Minnesota

6 Courses112,428 learners

Joseph A Konstan

University of Minnesota

11 Courses221,067 learners

Offered by

University of Minnesota

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
55.93%
4 stars
29.23%
3 stars
11.44%
2 stars
2.54%
1 star
0.84%

Showing 3 of 236

Reviewed on Dec 4, 2022

It was a great course! Everyone from variety of backgrounds like MS/PhD students or industry professionals that has basic Information Retrieval and ML knowledge could understand the course content.

Reviewed on Jul 15, 2017

A lot of very in detail theories and metrics. I wish it could have more hands on experience.

Reviewed on Jul 18, 2017

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

View more reviews