newsgroups carry a wide enough spread of messages to make most individuals consider Usenet news to be a high noise information resource. Furthermore, each user values a different set of messages. Both taste and prior knowledge are major factors in evaluating news articles. For example, readers of the rec.humor newsgroup, a group designed for jokes and other humorous postings, value articles based on whether they perceive them to be funny. Readers of technical groups, such as comp.lang.c11 value articles based on interest and usefulness to them—introductory questions and answers may be uninteresting to an expert C11 programmer just as debates over subtle and advanced language features may be useless to the novice. The combination of high volume and personal taste made Usenet news a promising candidate for collaborative filtering. More formally, we determined the potential predictive utility for Usenet news was very high. The GroupLens project started in 1992 and completed a pilot study at two sites to establish the feasibility of using collaborative filtering for Usenet news [8]. Several critical design decisions were made as part of that pilot study, including:

article Free Access Share on GroupLens: applying collaborative filtering to Usenet news Authors: Joseph A. Konstan Computer Science Department, The University of Minnesota, Minneapolis and Net Perceptions, Eden Prairie, Minn. Computer Science Department, The University of Minnesota, Minneapolis and Net Perceptions, Eden Prairie, Minn.View Profile , Bradley N. Miller Net Perceptions, Inc., Eden Prairie, Minn. Net Perceptions, Inc., Eden Prairie, Minn.View Profile , David Maltz Computer Science Department, Carnegie Mellon University Computer Science Department, Carnegie Mellon UniversityView Profile , Jonathan L. Herlocker computer science Department, The University of Minnesota computer science Department, The University of MinnesotaView Profile , Lee R. Gordon Net Perceptions, Inc., Eden Prairie, Minn. and The University of Minnesota, Minneapolis Net Perceptions, Inc., Eden Prairie, Minn. and The University of Minnesota, MinneapolisView Profile , John Riedl computer Science Department, University of Minnesota, Net Perceptions, Inc. computer Science Department, University of Minnesota, Net Perceptions, Inc.View Profile Authors Info & Claims Communications of the ACMVolume 40Issue 3March 1997 pp 77–87https://doi.org/10.1145/245108.245126Published:01 March 1997Publication History 1,710citation7,062DownloadsMetricsTotal Citations1,710Total Downloads7,062Last 12 Months602Last 6 weeks78 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

newsgroups carry a wide enough spread of messages to make most individuals consider Usenet news to be a high noise information resource. Furthermore, each user values a different set of messages. Both taste and prior knowledge are major factors in evaluating news articles. For example, readers of the rec.humor newsgroup, a group designed for jokes and other humorous postings, value articles based on whether they perceive them to be funny. Readers of technical groups, such as comp.lang.c11 value articles based on interest and usefulness to them—introductory questions and answers may be uninteresting to an expert C11 programmer just as debates over subtle and advanced language features may be useless to the novice. The combination of high volume and personal taste made Usenet news a promising candidate for collaborative filtering. More formally, we determined the potential predictive utility for Usenet news was very high. The GroupLens project started in 1992 and completed a pilot study at two sites to establish the feasibility of using collaborative filtering for Usenet news [8]. Several critical design decisions were made as part of that pilot study, including: