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- W1517389330 abstract "The task of automated searching for interesting text documents frequently suffers from a very poor balance among documents representing both positive and negative examples or from one completely missing class. This paper suggests the ranking approach based on the k-NN algorithm adapted for determining the similarity degree of new documents just to the representative positive collection. From the viewpoint of the precision-recall relation, a user can decide in advance how many and how similar articles should be released through a filter." @default.
- W1517389330 created "2016-06-24" @default.
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- W1517389330 date "2005-01-01" @default.
- W1517389330 modified "2023-10-02" @default.
- W1517389330 title "Selecting Interesting Articles Using Their Similarity Based Only on Positive Examples" @default.
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- W1517389330 doi "https://doi.org/10.1007/978-3-540-30586-6_65" @default.
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