Instead of considering these traditional approaches, we propose to retrieve documents using a fuzzy set IR model and rank retrieved documents for any vague ...
Oct 18, 2008 · Instead of con- sidering these traditional approaches, we propose to re- trieve documents using a fuzzy set IR model and rank re- trieved ...
Instead of considering these traditional approaches, we propose to retrieve documents using a fuzzy set IR model and rank retrieved documents for any vague ...
The proposed word-sense ranking method enhances the existing ranking approaches on ordering retrieved documents for vague queries and thus provides a more ...
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Instead of considering these traditional approaches, we propose to retrieve documents using a fuzzy set IR model and rank retrieved documents for any vague ...
We proposed a fuzzy ranking model to improve relevance match for user queries as opposed to the real value hitherto employed. This improves the documents ...
The use of language models for information retrieval practically reduces ranking to simply adding the occur- rences of terms: complex weighting algorithms are ...
This work proposes a hybrid approach to term selection by expanding user queries with medical terms relevant to the medical query.
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Using Vagueness Measures to Re-rank Documents Retrieved by a Fuzzy Set Information Retrieval Model · Stephen Lynn. 2008 Fifth International Conference on Fuzzy ...
These retrieval models specify how rep- resentations of text documents and information needs should be compared in order to estimate the likelihood that a ...
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