Building task-specific interfaces to high volume conversational data

Loren G. Terveen, William C. Hill, Brian Amento, David McDonald, Josh Creter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

As people participate in the thousands of global conversations that comprise Usenet news, one thing they do is post their opinions of web resources. Phoaks is a collaborative filtering system that continuously parses, classifies, abstracts and tallies those opinions. About 3,500 users per day consult Phoaks web pages that reflect the results. Phoaks also features a general architecture for building similar collaborative filtering interfaces to conversational data. We report here on the Phoaks resource recommendation interface, the architecture, and the issues and experience that make up its rationale.

Original languageEnglish (US)
Title of host publicationConference on Human Factors in Computing Systems - Proceedings
EditorsS. Pemberton
PublisherACM
Pages226-233
Number of pages8
StatePublished - Jan 1 1997
EventProceedings of the 1997 Conference on Human Factors in Computing Systems, CHI - Atlanta, GA, USA
Duration: Mar 22 1997Mar 27 1997

Other

OtherProceedings of the 1997 Conference on Human Factors in Computing Systems, CHI
CityAtlanta, GA, USA
Period3/22/973/27/97

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