A Comparative Evaluation of Term Weighting Methods for Information Filtering

Authors:
Nikolaos Nanas;Victoria Uren;Anne de Roeck
Affiliations:
The Open University, Milton Keynes, UK;The Open University, Milton Keynes, UK;The Open University, Milton Keynes, UK
Venue:
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Year:
2004

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Abstract

Users of information filtering systems can not be expected to provide large amounts of information to initialize a profile. Therefore, term weighting methods for information filtering have somewhat different requirements to those for information retrieval and text categorization. We present a comparative evaluation of term weighting methods, including a new method, relative document frequency, designed specifically for information filtering. The best weighting methods appear to be those that favor information provided by the user, over information from a general collection.