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Investigation of Luhn's claim on information retrieval
Kocabas, Ilker; Dincer, Bekir Taner; Karaoglan, Bahar (Tubitak Scientific & Technical Research Council Turkey, 2011)In this study, we show how Luhn's claim about the degree of importance of a word in a document can be related to information retrieval. His basic idea is transformed into z -scores as the weights of terms for the purpose ... -
Investigation of Luhn’s claim on information retrieval
In this study, we show how Luhn& #8217; s claim about the degree of importance of a word in a document can be related to information retrieval. His basic idea is transformed into z -scores as the weights of terms for ... -
A new statistical strategy for pooling: ELI
Kocabas, Ilker; Dincer, Bekir Taner (Elsevier Science Bv, 2013)Doing exhaustive relevance judgments is one of the most challenging tasks in the construction process of an IR test collection, especially when the collection is composed of millions of documents. Pooling (or system pooling), ... -
A nonparametric term weighting method for information retrieval based on measuring the divergence from independence
Kocabas, Ilker; Dincer, Bekir Taner; Karaoglan, Bahar (Springer, 2014)In this article, we introduce an out-of-the-box automatic term weighting method for information retrieval. The method is based on measuring the degree of divergence from independence of terms from documents in terms of ...