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GroupLens: An Open Architecture for Collaborative Filtering of Netnews

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Author Info
Paul Resnick
Neophytos Iacovou
Mitesh Suchak
Peter Bergstrom
John Riedl
Abstract

Collaborative filers help people make choices based on the opinions of other people. GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles. News reader clients display predicted scores and make it easy for users to rate articles after they read them. Rating servers, called Better Bit Bureaus, gather and disseminate the ratings. The rating servers predict scores based on the heuristic that people who agreed in the past will probably agree again. Users can protect their privacy by entering ratings under a pseudonym, without reducing the effectiveness of the score prediction. The entire architecture is open: alternative software for news clients and Better Bit Bureaus can be developed independently and can interoperate with the components we have developed.

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Publisher Info
Paper provided by MIT Center for Coordination Science in its series Working Paper Series with number 165.

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Date of creation: Mar 1994
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Handle: RePEc:wop:mitccs:165

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  1. Urban, Glen L. & Sultan, Fareena. & Qualls, William J. 1953-, 1998. "Trust based marketing on the internet," Working papers WP 4035-98., Massachusetts Institute of Technology (MIT), Sloan School of Management. [Downloadable!]
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This page was last updated on 2009-12-28.

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