Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system

doi:10.1145/289444.289509

Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system

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Authors:	Badrul M. Sarwar	GroupLens Research Project, Dept. of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
	Joseph A. Konstan	GroupLens Research Project, Dept. of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, and Net Perceptions, Inc, 11200 West 78th Street, Suite 300, Minneapolis, MN
	Al Borchers	GroupLens Research Project, Dept. of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
	Jon Herlocker	GroupLens Research Project, Dept. of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
	Brad Miller	Net Perceptions, Inc, 11200 West 78th Street, Suite 300, Minneapolis, MN
	John Riedl	GroupLens Research Project, Dept. of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, and Net Perceptions, Inc, 11200 West 78th Street, Suite 300, Minneapolis, MN

	1998 Article
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	· Proceeding
	CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
	Pages 345-354 ACM New York, NY, USA ©1998 table of contents ISBN:1-58113-009-0 doi>10.1145/289444.289509

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Tags: collaborative filtering content analysis design experimentation group and organization interfaces grouplens research information filtering information filtering informents filtering agents management measurement performance recommendation systems social filtering theory

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