GroupLens: applying collaborative filtering to Usenet news

@article{Konstan1997GroupLensAC,
  title={GroupLens: applying collaborative filtering to Usenet news},
  author={J. Konstan and Bradley N. Miller and D. Maltz and Jonathan L. Herlocker and Lee R. Gordon and J. Riedl},
  journal={Commun. ACM},
  year={1997},
  volume={40},
  pages={77-87}
}
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… Expand
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References

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The original GroupLens work is extended by reporting on a significantly enhanced system and the results of a seven week trial with 250 users and over 20,000 news articles, and the accuracy of the predictions are assessed. Expand
Distributing information for collaborative filtering on Usenet Net News
As part of the Information Revolution," the amount of raw information available to computer users has increased as never before. Unfortunately , there has been a corresponding jump in the amount ofExpand
GroupLens: an open architecture for collaborative filtering of netnews
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GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles, and protect their privacy by entering ratings under pseudonyms, without reducing the effectiveness of the score prediction. Expand
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Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store, annotation store, filterer, little box, remailer, appraiser and reader/browser. Expand
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Carnegie Mellon University studying mobile networking and computer-supported cooperative work
  • Carnegie Mellon University studying mobile networking and computer-supported cooperative work
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