This page will serve as a portal for all sorts of teaching material such as lecture slides, tutorial slides or material and software for practical lab exercises.

If you want to share your own teaching material on recommender systems, please send the material (preferably in editable form) or a link to the material to dietmar.jannach (at)

Feel free to use the material from this page for your courses.



Errata, Corrigenda, Addenda



  • Recommender101 is light-weight Java-based library for conducting experiments with different recommendation algorithms. The software can be downloaded for free from here