Document (#15700)

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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