A Comparative Evaluation of Term Weighting Methods for Information Filtering

Nanas, Nikolaos; Uren, Victoria and De Roeck, Anne (2004). A Comparative Evaluation of Term Weighting Methods for Information Filtering. In: Galindo, Fernando; Takizawa, Makoto and Traunmüller, Roland eds. Proceedings of the 15th International Workshop on Database and Expert Systems Applications. IEEE Computer Society, pp. 13–17.

DOI: https://doi.org/10.1109/DEXA.2004.1333442

URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumb...


Users of information filtering systems cannot 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.

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