Chevron Left
Back to Introduction to Recommender Systems: Non-Personalized and Content-Based

Learner Reviews & Feedback for Introduction to Recommender Systems: Non-Personalized and Content-Based by University of Minnesota

4.5
stars
618 ratings

About the Course

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations. After completing this course, you will be able to compute a variety of recommendations from datasets using basic spreadsheet tools, and if you complete the honors track you will also have programmed these recommendations using the open source LensKit recommender toolkit. In addition to detailed lectures and interactive exercises, this course features interviews with several leaders in research and practice on advanced topics and current directions in recommender systems....

Top reviews

BS

Feb 12, 2019

One of the best courses I have taken on Coursera. Choosing Java for the lab exercises makes them inaccessible for many data scientists. Consider providing a Python version.

DP

Dec 7, 2017

Nice introduction to recommender systems for those who have never heard about it before. No complex mathematical formula (which can also be seen by some as a downside).

Filter by:

101 - 125 of 129 Reviews for Introduction to Recommender Systems: Non-Personalized and Content-Based

By shailesh k p

Jun 22, 2018

By Diana H

Jul 29, 2017

By nitish a

Apr 7, 2020

By Lucas B A d A

Apr 3, 2020

By Danish R

Oct 9, 2016

By Atieno M S

Aug 16, 2019

By Wesley H

May 9, 2018

By ignacio v

Feb 4, 2019

By Lalu P L

Sep 19, 2022

By Reza N

Apr 27, 2017

By Nitin P

Nov 18, 2016

By Ben C

Oct 30, 2017

By Mehmet E

Jan 13, 2018

By Peter P

Oct 4, 2016

By Aleshin A

May 18, 2018

By Egbert R

Apr 11, 2021

By Andre C

Mar 30, 2020

By Gabriel S

Feb 28, 2019

By Chunyang S

Feb 3, 2017

By Akash S C

Jun 22, 2019

By Sachin S

Oct 31, 2016

By Paulo E d V

Dec 8, 2016

By Yan F

Sep 19, 2021

By Ruth B

Aug 13, 2017

By Lucas B

Sep 4, 2019