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Author Crestani, Fabio ♦ Lalmas, Mounia ♦ Van Rijsbergen, Cornelis J. ♦ Campbell, Iain
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Information retrieval ♦ Probabilistic indexing ♦ Probabilistic modeling ♦ Probabilistic retrieval ♦ Uncertain inference modeling
Abstract This article surveys probablistic approaches to modeling information retrieval. The basic concepts of probabilistic approaches to information retrieval are outlined and the principles and assumptions upon which the approaches are based are presented. The various models proposed in the development of IR are described, classified, and compared using a common formalism. New approaches that constitute the basis of future research are described.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-12-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 30
Issue Number 4
Page Count 25
Starting Page 528
Ending Page 552


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Source: ACM Digital Library