subject predicate object context
18949 Creator 042299abcac54fe25a1be6bf1dc3c949
18949 Creator 84bddd3a4b315469c22c89b9958ac6b1
18949 Creator 6da702660ddd17a9ddabc965f545e083
18949 Date 2004-09-20
18949 Is Part Of repository
18949 abstract 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.
18949 authorList authors
18949 editorList editors
18949 presentedAt ext-ce3a17abacc53a87af8bf237473bcaae
18949 status peerReviewed
18949 type Article
18949 type BookSection
18949 label 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.
18949 label 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.
18949 Publisher ext-6e26988c8292728c4bb1a3a8b2d9a9fa
18949 Title A Comparative Evaluation of Term Weighting Methods for Information Filtering
18949 in dataset oro