Fwd: Introduction to Recommender Systems now available On Demand

Hi all!

I'm delighted to announce that you can now find Michael Ekstrand's and my
introductory Coursera course on recommender systems available on-demand
(take whenever you like, no fixed schedule).

This course can be found at:
https://www.coursera.org/learn/recommender-systems

The course format is new, and programming assignments are no longer in the
main course (they will be in a supplemental "lab course" we hope to launch
in the fall).  What is here is the full range of lectures and
hand/spreadsheet exercises covering algorithms (from non-personalized
through content- and collaborative algorithms) and metrics.

Feel free to invite students to use this course as part of teaching them
recommender systems (in your own courses, or separately as a form of
self-study)!

And if you're wondering what happened in the first course, we have a paper
on that coming out in the next month or two in ACM Trans. on Computer-Human
Interaction.

Hope you find it useful!!

-- 
Joseph A. Konstan
Distinguished McKnight Professor and Distinguished University Teaching
Professor
Associate Department Head
Department of Computer Science and Engineering
University of Minnesota
[email protected]

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