Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2450
Title: PolyLens: A recommender system for groups of user
Authors: O'Connor, Mark
Cosley, Dan
Konstan, Joseph A.
Riedl, John
Issue Date: 2001
Publisher: Kluwer Academic Publishers, Dordrecht, The Netherlands
metadata.dc.relation.ispartof: ECSCW 2001: Proceedings of the Seventh European Conference on Computer Supported Cooperative Work
metadata.mci.reference.pages: 199-218
Series/Report no.: ECSCW
Abstract: We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appropriate and useful for domains in which several people participate in a single activity, as is often the case with movies and restaurants. We present an analysis of the primary design issues for group recommenders, including questions about the nature of groups, the rights of group members, social value functions for groups, and interfaces for displaying group recommendations. We then report on our PolyLens prototype and the lessons we learned from usage logs and surveys from a nine-month trial that included 819 users We found that users not only valued group recommendations, but were willing to yield some privacy to get the benefits of group recommendations Users valued an extension to the group recommender system that enabled them to invite non-members to participate, via email
metadata.dc.identifier.doi: 10.1007/0-306-48019-11
URI: https://hdl.handle.net/20.500.12015/2450
ISBN: 978-0-306-48019-5
metadata.mci.conference.sessiontitle: Full Papers
metadata.mci.conference.location: Bonn, Germany
metadata.mci.conference.date: 2001-09-16
Appears in Collections:ECSCW 2001: Proceedings of the Seventh European Conference on Computer Supported Cooperative Work

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