Panel: Recommender Systems and the ‘Filter Bubble’
Moderator: Bamshad Mobasher, DePaul University
Date: Wednesday, October 26, 14:00-15:45 PM
The phrase “filter bubble” was coined by the author Eli Pariser in his best seller book with the same title. The book is a critique of the proliferation of personalization technologies across the Internet and its potential negative impact on the ability of internet users to be exposed to diverse sources of information and varied viewpoints. This panel discussion will explore this issue from the perspective of people working on personalization and recommendation technologies. The panelists will react to the notion of ‘filter bubble’ in general, and discuss a host of technical and theoretical issues that have relevance to this broader problem, including serendipity and diversity of recommendations, metrics that measure performance of recommendation and personalization based on factors other than predictive accuracy, user interfaces and their role in addressing this issue, and the integration of user feedback in personalization. There will be ample opportunity for audience participation and feedback.
Panelists
- Paul Resnick, University of Michigan
- Joseph Konstan, University of Minnesota
- Anthony Jameson, DFKI – German Research Center for Artificial Intelligence
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