A Statistical Similarity Measure.

S. K. Michael Wong, Yiyu Yao: A Statistical Similarity Measure. SIGIR 1987: 3-12

@inproceedings{DBLP:conf/sigir/WongY87,
  author    = {S. K. Michael Wong and
               Yiyu Yao},
  title     = {A Statistical Similarity Measure},
  booktitle = {Proceedings of the Tenth Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, New Orleans,
               Louisiana, USA, June 3-5, 1987},
  publisher = {ACM},
  year      = {1987},
  pages     = {3-12},
  ee        = {db/conf/sigir/WongY87.html},
  crossref  = {DBLP:conf/sigir/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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Abstract

Within the framework of the vector space models, a statistical similarity measure between document and query is proposed. In this approach the assumption that term (or atomic) vectors are pairwise orthogonal is not required. In addition, it provides a natural and consistent interpretation of term occurrence frequencies obtained from autoindexing.

Copyright © 1987 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, June 3-5, 1987. ACM 1987
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