Search (3 results, page 1 of 1)

  • × author_ss:"Singhal, A."
  • × theme_ss:"Retrievalstudien"
  1. Singhal, A.: Document length normalization (1996) 0.01 
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    Abstract
    In the Text REtrieval Conference (TREC) collection - a large full text experimental text collection with varying documents lengths - observes that the likelihood of a document being judged relevant by a user increases with the document length. A retrieval strategy, such as the vector space cosine match, that retrieves documents of different lengths with roughly equal chances, will not optimally retrieve useful documents from such a collection. Presents a modified technique (pivoted cosine normalization) that attempts to match the likelihood of retrieving documents of all lengths to the likelihood of their relevance and shows that this technique yields significant improvements in retrieval effectiveness
    Source
    Information processing and management. 32(1996) no.5, S.619-633
  2. Buckley, C.; Singhal, A.; Mitra, M.; Salton, G.: New retrieval approaches using SMART : TREC 4 (1996) 0.00 
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    Source
    The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman
  3. Singhal, A.; Buckley, C.; Mitra, M.: Using query zoning and correlation with SMART : TREC 5 (1997) 0.00 
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    Source
    The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman

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