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ISKODOR: unified user modeling for integrated searching

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SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Page 898

https://doi.org/10.1145/1277741.1277966

Published: 23 July 2007 Publication History

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Abstract

ISKODOR integrates personal collections, peer search, and centralized search services. User modeling in ISKODOR fills three roles: discovery of sites with suitable information stores, context-based query interpretation, and automatic profile-based filtering of new information. Explanation and control are achieved through graphical depiction of sources, explicit feedback regard ingutility, and explicit control over peer association behavior and information sharing.

References

[1]

E. Agichtein, E. Bill, and S. Dumais. Improving web search ranking by incorporating user behavior information. In SIGIR, 2006.

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[2]

M. Gnasa, M. Won, and A. B. Cremers. Three pillars for congenial web searching-continuous evaluation for enhancing web search effectiveness. Journal of Web Engineering, 3:252--280, 2004.

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[3]

J. Lu and J. Callan. User modeling for full-text federated search in peer-to-peer networks. In SIGIR, 2006.

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Index Terms

ISKODOR: unified user modeling for integrated searching
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
    2. Information retrieval query processing

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Published In

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

July 2007

946 pages

ISBN:9781595935977

DOI:10.1145/1277741

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

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: 23 July 2007

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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

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Abstract

References

Index Terms

Recommendations

Relevance Feedback Fusion via Query Expansion

Harnessing user contributions and dynamic profiling to better satisfy individual information search needs

What's Missing from Collaborative Search?

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