NewsWeeder: Learning to Filter Netnews

K. Lang · International Conference on Machine Learning · 1995

Summary

The results show that a learning algorithm based on the Minimum Description Length (MDL) principle was able to raise the percentage of interesting articles to be shown to users from 14% to 52% on average.

Published: 1995-07-09
Cited by: 2,671
References: 11
DOI: https://doi.org/10.1016/b978-1-55860-377-6.50048-7
Semantic Scholar: https://api.semanticscholar.org/CorpusID:1921714

References

Applied Bayesian and classical inference : the case of the Federalist papersFrederick Mosteller, David K. Wallace — 1984
An open architecture for collaborative filtering of netnewsPaul Resnick — 1994
A Summary of the CLARIT projectDavid A. Evans — 1991
AI Research and Applications in Digital's Service OrganizationAnil Rewari, Mark Adler, Peter Anick — 1992
Using collaborative filtering to weave an information tapestryDavid Theo Goldberg, David M. Nichols, Brian Oki — 1992
An example-based mapping method for text categorization and retrievalYiming Yang, Christopher G. Chute — 1994
The mathematical theory of communicationClaude E. Shannon, Warren Weaver, Norbert Wiener — 1950
Modeling By Shortest Data Description*J. Rissanen — 1978
Developments in Automatic Text RetrievalGerard Salton — 1991
Using latent semantic analysis to improve access to textual informationSusan Dumais, George W. Furnas, Thomas K. Landauer — 1988
A learning approach to personalized information filteringB. Sheth — 1994

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