Resumen
The GroupLens project designed, implemented and evaluated a collaborative filtering system for Usenet news--a high-volume, high-turnover discussion list service on the Internet. Usenet newsgroups--the individual discussion lists--may carry hundreds of messages each day. While in theory, the newsgroup organization allows readers to select the content that most interests them, in practice, most newsgroups carry a wide enough spread of messages to make most individuals consider Usenet news to be a high noise information resource. Both taste and prior knowledge are major factors in evaluating news articles. The combination of high volume and personal taste made Usenet news a promising candidate for collaborative filtering. The authors determined the potential predictive utility for Usenet news was very high. This article discusses challenges involved in creating a collaborative filtering system for Usenet news.