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CSCW
1996
ACM

Using Frequency-of-Mention in Public Conversations for Social Filtering

13 years 7 months ago
Using Frequency-of-Mention in Public Conversations for Social Filtering
We report on an investigation of using Usenet newsgroups for social filtering of Web resources. Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23% of Usenet news messages mention Web resources, (2) 19% of resource mentions are recommendations (as opposed, e.g., to home pages), (3) we can'automatically recognize recommendations with at least 90% accuracy, and (4) in some newsgroups, certain resources are mentioned significantly more frequently than others and thus appear to play a central role for that community. We have created a Web site that summarizes the most frequently and recently mentioned Web resources for 1400 newsgroups.
William C. Hill, Loren G. Terveen
Added 08 Aug 2010
Updated 08 Aug 2010
Type Conference
Year 1996
Where CSCW
Authors William C. Hill, Loren G. Terveen
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