Article

A retrospective study of probabilistic context-based retrieval

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W. J. LiAuthors Info & Claims

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 663 - 664

https://doi.org/10.1145/1076034.1076179

Published: 15 August 2005 Publication History

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Abstract

We propose a novel probabilistic retrieval model which weights terms according to their contexts in documents. The term weighting function of our model is similar to the language model and the binary independence model. The retrospective experiments (i.e., relevance information is present) illustrate the potential of our probabilistic context-based retrieval where the precision at the top 30 documents is about 43% for TREC-6 data and 52% for TREC-7 data.

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Cited By

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Wu HLuk RWong KKwok K(2008)Interpreting TF-IDF term weights as making relevance decisionsACM Transactions on Information Systems10.1145/1361684.136168626:3(1-37)Online publication date: 20-Jun-2008
https://dl.acm.org/doi/10.1145/1361684.1361686
Wu HLuk RWong KKwok K(2007)A retrospective study of a hybrid document-context based retrieval modelInformation Processing and Management: an International Journal10.1016/j.ipm.2006.10.00943:5(1308-1331)Online publication date: 1-Sep-2007
https://dl.acm.org/doi/10.1016/j.ipm.2006.10.009
Dang ELuk RLee DHo KChan SYu PTsotras VFox ELiu B(2006)Query-specific clustering of search results based on document-context similarity scoresProceedings of the 15th ACM international conference on Information and knowledge management10.1145/1183614.1183780(886-887)Online publication date: 6-Nov-2006
https://dl.acm.org/doi/10.1145/1183614.1183780
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Index Terms

A retrospective study of probabilistic context-based retrieval
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Published In

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

August 2005

708 pages

ISBN:1595930345

DOI:10.1145/1076034

General Chairs:
Ricardo Baeza-Yates
University of Chile, Chile
,
Nivio Ziviani
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Gary Marchionini
University of North Carolina, USA
,
Alistair Moffat
University of Melbourne, Australia
,
John Tait
University of Sunderland, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2005

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SIGIR05: The 28th ACM/SIGIR International Symposium on Information Retrieval 2005

August 15 - 19, 2005

Salvador, Brazil

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Wu HLuk RWong KKwok K(2008)Interpreting TF-IDF term weights as making relevance decisionsACM Transactions on Information Systems10.1145/1361684.136168626:3(1-37)Online publication date: 20-Jun-2008
https://dl.acm.org/doi/10.1145/1361684.1361686
Wu HLuk RWong KKwok K(2007)A retrospective study of a hybrid document-context based retrieval modelInformation Processing and Management: an International Journal10.1016/j.ipm.2006.10.00943:5(1308-1331)Online publication date: 1-Sep-2007
https://dl.acm.org/doi/10.1016/j.ipm.2006.10.009
Dang ELuk RLee DHo KChan SYu PTsotras VFox ELiu B(2006)Query-specific clustering of search results based on document-context similarity scoresProceedings of the 15th ACM international conference on Information and knowledge management10.1145/1183614.1183780(886-887)Online publication date: 6-Nov-2006
https://dl.acm.org/doi/10.1145/1183614.1183780
Wu HLuk RWong KKwok KYu PTsotras VFox ELiu B(2006)Probabilistic document-context based relevance feedback with limited relevance judgmentsProceedings of the 15th ACM international conference on Information and knowledge management10.1145/1183614.1183764(854-855)Online publication date: 6-Nov-2006
https://dl.acm.org/doi/10.1145/1183614.1183764
Wang DLuk RWong KKwok K(2006)An information retrieval approach based on discourse typeProceedings of the 11th international conference on Applications of Natural Language to Information Systems10.1007/11765448_18(197-202)Online publication date: 31-May-2006
https://dl.acm.org/doi/10.1007/11765448_18

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