Recommender Systems: User Experience and System Issues
Dr. Joe Konstan
Abstract: Over the past decade, recommender systems employing collaborative filtering technology have evolved from research proofs-of-concept to commonplace components of e-commerce web sites and direct marketing. At the same time, research has moved forward to embrace more sophisticated algorithms, more detailed exploration of the user experience, and new applications to the study of on-line community. This talk reviews recent highlights from the decade-old GroupLens Research Project, including user interface design issues, broad applications of recommender systems, and results of experiments on eliciting contributions of effort towards a collective good.
Biography: Joseph A. Konstan is Professor of Computer Science and Engineering at