Joseph Konstan, University of Minnesota, Twin Cities
The GroupLens Project: Collaborative Information Filtering
to help users identify and evaluate personally valuable information items.
Since 1992, the GroupLens Research Project has been exploring ways to use the opinions of a community of users to help each member more effectively filter content in a personalized way. This talk reviews the history of the GroupLens project, including its Usenet News and MovieLens recommenders. It focuses on major research results and experiments with new and different interfaces to support communities of recommender system users. A variety of research papers on the topic can be found at www.grouplens.org, and MovieLens, our current research system, can be found at www.movielens.org.
Joseph A. Konstan is Associate Professor of Computer Science and Engineering
at the University of Minnesota.His research addresses a variety of human-computer
interaction issues related to filtering, comprehending, organizing, and
automating large and complex data sets. He is probably best known for his
work in collaborative filtering (the GroupLens recommender system) and
multimedia authoring. Dr. Konstan received his Ph.D. from the University
of California, Berkeley in 1993; he is an ACM Lecturer, editor of the SIGCHI
Bulletin, and a member of the ACM SIGCHI Executive Committee.