Document (#15699)

Author

Singhal, A.

Title

Document length normalization

Source

Information processing and management. 32(1996) no.5, S.619-633

Year

1996

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

Theme

Retrievalstudien

Object

TREC

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5. Plaunt, C.; Norgard, B.A.: ¬An association-based method for automatic indexing with a controlled vocabulary (1998) 0.19

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