Meetings

http://Recommenders06.com
Recommender Systems are applications that provide personalized advice to users about products or services they might be interested in. Recommender Systems are playing a major role in the Digital and Social Networking Revolution and becoming a part of everyday life. They are helping people efficiently manage content overload and dive into the long tail of content discovery. The social prevalence of this can be evidenced by the evolution of, and demand for, personalized radio, television, video and on-line shopping.

The Summer School will bring together the concepts and practices of Recommender Systems and is intended for both researchers (including Ph.D. students) and for professionals and managers who want to benefit from the best information on Recommender Systems and personalization advances. An in-depth introduction to Recommender Systems will be provided.

Participation in the Summer School is by acceptance only. Ten scholarships for promising students will be granted.

Lecturers will include:

• Chris Anderson, Wired Magazine, US
• Todd Beaupre, Yahoo, Inc., US
• Jim Bennett, Netflix, Inc., US
• Dr. Alexander Felfernig, Klagenfurt University, Austria
• Dr. Rick Hangartner, MusicStrands, Inc., US
• Prof. Juntae Kim, Dongguk University, Korea
• Kaushal Kurapati, Ask.com, US
• Dr. Bamshad Mobasher, DePaul University, US
• Mike Mull, Yahoo, Inc., US
• Prof. Anton Nijholt, Twente University, The Netherlands
• Prof. John Riedl, University of Minnesota, US
• Jim Shur, MusicStrands, Inc., US
• Prof. Barry Smyth, University College Dublin, Ireland / ChangingWorlds Ltd.
• Dr. Markus G Stolze, IBM Research, US
• Dr. Marc Torrens, MusicStrands, Inc., U