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A language modeling framework for resource selection and results merging
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Source Conference on Information and Knowledge Management archive
Proceedings of the eleventh international conference on Information and knowledge management table of contents
McLean, Virginia, USA
SESSION: Language models for information retrieval table of contents
Pages: 391 - 397  
Year of Publication: 2002
ISBN:1-58113-492-4
Authors
Luo Si  Carnegie Mellon University
Rong Jin  Carnegie Mellon University
Jamie Callan  Carnegie Mellon University
Paul Ogilvie  Carnegie Mellon University
Sponsors
SIGMIS: ACM Special Interest Group on Management Information Systems
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 70,   Citation Count: 24
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ABSTRACT

Statistical language models have been proposed recently for several information retrieval tasks, including the resource selection task in distributed information retrieval. This paper extends the language modeling approach to integrate resource selection, ad-hoc searching, and merging of results from different text databases into a single probabilistic retrieval model. This new approach is designed primarily for Intranet environments, where it is reasonable to assume that resource providers are relatively homogeneous and can adopt the same kind of search engine. Experiments demonstrate that this new, integrated approach is at least as effective as the prior state-of-the-art in distributed IR.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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J. Callan. Distributed information retrieval. In W.B. Croft, editor, Advances in information retrieval, chapter 5, pages 127--150. Kluwer Academic Publishers, 2000.
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A F. Smeaton and F. Crimmins Using A Data Fusion Agent for Searching the WWW. In Proc of The Sixth International World Wide Web Conference, 1997.
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Lemur Toolkit http://www.cs.cmu.edu/~lemur
 
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C. Buckley, A. Singhal, M. Mitra, and G. Salton, New retrieval approaches using SMART. In Proceedings of 1995 Text REtrieval Conference (TREC-3). National Institute of Standards and Technology, special publication.

CITED BY  24

Collaborative Colleagues:
Luo Si: colleagues
Rong Jin: colleagues
Jamie Callan: colleagues
Paul Ogilvie: colleagues