Article

Probabilistic model for contextual retrieval

Authors:

Wei-Ying MaAuthors Info & Claims

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 57 - 63

https://doi.org/10.1145/1008992.1009005

Published: 25 July 2004 Publication History

Abstract

Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its importance, there is no comprehensive retrieval model to describe the contextual retrieval process. We observed that incompatible context, noisy context and incomplete query are several important issues commonly existing in contextual retrieval applications. However, these issues have not been previously explored and discussed. In this paper, we propose probabilistic models to address these problems. Our study clearly shows that query log is the key to build effective contextual retrieval models. We also conduct a case study in the PC troubleshooting domain to testify the performance of the proposed models and experimental results show that the models can achieve very good retrieval precision.

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Cited By

Tamine LDaoud M(2018)Evaluation in Contextual Information RetrievalACM Computing Surveys10.1145/320494051:4(1-36)Online publication date: 25-Jul-2018
https://dl.acm.org/doi/10.1145/3204940
Wani STengku Sembok TMir M(2018)Context Aware Knowledge Bases for Efficient Contextual Retrieval: Design and MethodologiesComputational Science and Technology10.1007/978-981-13-2622-6_55(569-579)Online publication date: 28-Aug-2018
https://doi.org/10.1007/978-981-13-2622-6_55
El Ghali BEl Qadi A(2017)Context-aware query expansion method using Language Models and Latent Semantic AnalysesKnowledge and Information Systems10.1007/s10115-016-0952-x50:3(751-762)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s10115-016-0952-x
Show More Cited By

Index Terms

Probabilistic model for contextual retrieval
1. Information systems
  1. Information retrieval

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cover image ACM Conferences

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

July 2004

624 pages

ISBN:1581138814

DOI:10.1145/1008992

General Chair:
Mark Sanderson
University of Sheffield (UK)
,
Program Chairs:
Kalervo Järvelin
University of Tampere (Finland)
,
James Allan
University of Massachusetts (USA)
,
Peter Bruza
Distributed Systems Technology Centre (Australia)

Copyright © 2004 ACM.

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Publication History

Published: 25 July 2004

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SIGIR04: The 27th ACM/SIGIR International Symposium on Information Retrieval 2004

July 25 - 29, 2004

Sheffield, United Kingdom

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Tamine LDaoud M(2018)Evaluation in Contextual Information RetrievalACM Computing Surveys10.1145/320494051:4(1-36)Online publication date: 25-Jul-2018
https://dl.acm.org/doi/10.1145/3204940
Wani STengku Sembok TMir M(2018)Context Aware Knowledge Bases for Efficient Contextual Retrieval: Design and MethodologiesComputational Science and Technology10.1007/978-981-13-2622-6_55(569-579)Online publication date: 28-Aug-2018
https://doi.org/10.1007/978-981-13-2622-6_55
El Ghali BEl Qadi A(2017)Context-aware query expansion method using Language Models and Latent Semantic AnalysesKnowledge and Information Systems10.1007/s10115-016-0952-x50:3(751-762)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s10115-016-0952-x
Fourney ADumais SPerego RSebastiani FAslam JRuthven IZobel J(2016)Automatic Identification and Contextual Reformulation of Implicit System-Related QueriesProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2914701(761-764)Online publication date: 7-Jul-2016
https://dl.acm.org/doi/10.1145/2911451.2914701
Anter SYazidi MZellou AIdri A(2016)Towards a generic model of a user profile2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)10.1109/SITA.2016.7772265(1-6)Online publication date: Oct-2016
https://doi.org/10.1109/SITA.2016.7772265
Ma JJeon IChoi Y(2015)Design of an Efficient Keyword-based Retrieval System Using Concept latticeJournal of Internet Computing and Services10.7472/jksii.2015.16.3.4316:3(43-57)Online publication date: 30-Jun-2015
https://doi.org/10.7472/jksii.2015.16.3.43
Chandra SSinha VSinha SRatakonda KHerbsleb JDwyer MHerbsleb J(2014)Software services: a research roadmapFuture of Software Engineering Proceedings10.1145/2593882.2593892(40-54)Online publication date: 31-May-2014
https://dl.acm.org/doi/10.1145/2593882.2593892
Harbaoui ASidhom SGhenima MBen Ghezala H(2014)Personalized Information Retrieval: Application to Virtual CommunitiesHuman Interface and the Management of Information. Information and Knowledge Design and Evaluation10.1007/978-3-319-07731-4_43(431-438)Online publication date: 2014
https://doi.org/10.1007/978-3-319-07731-4_43
Carneiro DNovais PNeves JCarneiro DNovais PNeves J(2014)Information RetrievalConflict Resolution and its Context10.1007/978-3-319-06239-6_7(141-162)Online publication date: 29-Apr-2014
https://doi.org/10.1007/978-3-319-06239-6_7
Sodanil MPhonarin PPorrawatpreyakorn NWeippl EIndrawan-Santiago MSteinbauer MKotsis GKhalil I(2013)An Ontology-Based Query Expansion for an Agricultural Expert Retrieval SystemProceedings of International Conference on Information Integration and Web-based Applications & Services10.1145/2539150.2539220(358-362)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2539150.2539220
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