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