Ryan Swanstrom

More Recommender Systems Resources

Last week I posted about Coursera’s Introduction to Recommender Systems course. Well, I believe it is the first MOOC on the topic, but there are other material available online.

Open.Michigan course on Recommender Systems – the course was offered in 2009
Virginia Tech course on Recommender Systems – This course is a bit older, it was offered in 2001, but the site still contains some valuable information.

If you know of any other great recommender systems resources online, please feel free to share them.

Originally Posted

August 13, 2013

in

Data Science 101, Learn Data Science

by

Ryan Swanstrom

Last Modified:

November 11, 2020

Tags:

course, materials, recommendation engine, recommender systems, resources

Comments

5 responses to “More Recommender Systems Resources”

Recommender Systems – Coursera class and other resources | DIYMarketingAnalytics

August 21, 2013

[…] Swanstrom in his “DataScience101” blog provides links to two previous university-level recommender system courses that have […]

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Dr. Z.

September 19, 2013

Are Rec. Sys. a topic of importance to Data Science, or just something nice to know? How valuable is this know-how in the industry? Thanks

Reply
1. Ryan Swanstrom
  
  September 19, 2013
  
  I would say Recommendation Systems are huge for data science. Some of the most famous applications of data science have been recommendations. Think of Linkedin’s People you may know or Amazon’s Customers also purchased.
  
  Reply
  1. Dr. Z.
    
    September 20, 2013
    
    Thanks for your feedback. I agree, but wanted to hear other people’s views on this.
Jyo

June 19, 2017

Here is a course on –
Marketing Analytics: Text Analysis & Recommendation Systems https://www.experfy.com/training/courses/marketing-analytics-text-analysis-recommendation-systems

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