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Modelling information retrieval agents with belief revision

Authors:

Brian Logan,

Steven Reece,

Karen Sparck JonesAuthors Info & Claims

SIGIR '94: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 91 - 100

Published: 01 August 1994 Publication History

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References

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Cited By

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White RHorvitz E(2015)Belief Dynamics and Biases in Web SearchACM Transactions on Information Systems10.1145/274622933:4(1-46)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.1145/2746229
Lioma CLarsen BSchuetze HIngwersen PBelkin NKelly D(2010)A subjective logic formalisation of the principle of polyrepresentation for information needsProceedings of the third symposium on Information interaction in context10.1145/1840784.1840804(125-134)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.1145/1840784.1840804
Lioma CBlanco RMochales Palau RMoens M(2009)A Belief Model of Query Difficulty That Uses Subjective LogicProceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory10.1007/978-3-642-04417-5_9(92-103)Online publication date: 3-Sep-2009
https://dl.acm.org/doi/10.1007/978-3-642-04417-5_9
Show More Cited By

Index Terms

Modelling information retrieval agents with belief revision

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

Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inherent in any information retrieval (IR) processes. In particular, a retrieval ...
On Causal and Constructive Modelling of Belief Revision
Parallel belief revision: Revising by sets of formulas

The area of belief revision studies how a rational agent may incorporate new information about a domain into its belief corpus. An agent is characterised by a belief state K, and receives a new item of information @a which is to be included among its ...

Reviews

Reviewer: Prokop Vondracek

The authors model information intermediating by combining a general theory of belief revision due to Galliers with fundamental characterization of the intermediary proposed by Belkin and his colleagues. They developed a computational implementation supporting single information-seeking dialogue with the adaptive and cooperative properties of real ones. This paper describes a development and implementation of the two theories (Galliers's and Belkin's) as a single integrated system.

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Information & Contributors

Information

Published In

SIGIR '94: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval

August 1994

363 pages

ISBN:038719889X

Editors:
W. Bruce Croft
Univ. of Massachusetts, Amherst
,
C. J. van Rijsbergen
Univ. of Glasgow, Glasgow, Scotland

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 August 1994

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Conference

SIGIR94

Sponsor:

AICA
Irish Comp Soc
SIGIR
BCS-IRSG
BCS-IRSB
Dublin City University

SIGIR94: 17th Annual International ACM SIGIR Conference on Research & Development in Information Retrieval

July 3 - 6, 1994

Dublin, Ireland

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

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Cited By

View all

White RHorvitz E(2015)Belief Dynamics and Biases in Web SearchACM Transactions on Information Systems10.1145/274622933:4(1-46)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.1145/2746229
Lioma CLarsen BSchuetze HIngwersen PBelkin NKelly D(2010)A subjective logic formalisation of the principle of polyrepresentation for information needsProceedings of the third symposium on Information interaction in context10.1145/1840784.1840804(125-134)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.1145/1840784.1840804
Lioma CBlanco RMochales Palau RMoens M(2009)A Belief Model of Query Difficulty That Uses Subjective LogicProceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory10.1007/978-3-642-04417-5_9(92-103)Online publication date: 3-Sep-2009
https://dl.acm.org/doi/10.1007/978-3-642-04417-5_9
Lau RBruza PSong D(2008)Towards a belief-revision-based adaptive and context-sensitive information retrieval systemACM Transactions on Information Systems10.1145/1344411.134441426:2(1-38)Online publication date: 8-Apr-2008
https://dl.acm.org/doi/10.1145/1344411.1344414
Lau RBruza PSong DSanderson MJärvelin KAllan JBruza P(2004)Belief revision for adaptive information retrievalProceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1008992.1009017(130-137)Online publication date: 25-Jul-2004
https://dl.acm.org/doi/10.1145/1008992.1009017
Stein AGulla JThiel U(1999)User-Tailored Planning of Mixed Initiative Information-Seeking DialoguesUser Modeling and User-Adapted Interaction10.1023/A:10083033127589:1-2(133-166)Online publication date: 1-Jan-1999
https://dl.acm.org/doi/10.1023/A%3A1008303312758
Walker MMoore J(1997)Empirical studies in discourseComputational Linguistics10.5555/972684.97268523:1(1-12)Online publication date: 1-Mar-1997
https://dl.acm.org/doi/10.5555/972684.972685

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Cited By

Index Terms

Recommendations

Belief revision for adaptive information retrieval

On Causal and Constructive Modelling of Belief Revision

Parallel belief revision: Revising by sets of formulas

Reviews

Access critical reviews of Computing literature here