Ranked feature fusion models for ad hoc retrieval

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2008, Pages 893-900

  Pickens, Jeremy ^a   Golovchinsky, Gene ^a  

^a FX PALO ALTO LABORATORY   (United States)

Author keywords

Feature ranking; Metasearch; Score normalization

Indexed keywords

AD HOC RETRIEVAL; DOCUMENT LENGTH; DOCUMENT SCORING; FEATURE FUSION; FEATURE RANKING; LANGUAGE MODEL; METASEARCH; RELEVANCE FEEDBACK; SCORE NORMALIZATION; TERM FREQUENCY; VECTOR SPACE MODELS;

COMPUTATIONAL LINGUISTICS; FEEDBACK; INFORMATION SERVICES; KNOWLEDGE MANAGEMENT;

INFORMATION RETRIEVAL;

EID: 70349243826     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458082.1458200     Document Type: Conference Paper

References (17)

1. J. A. Aslam and M. Montague. Models for metasearch. In W. B. Croft, D. J. Harper, D. H. Kraft, and J. Zobel, editors, Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 276-284. ACM Press, September 2001.
2. J. A. Aslam, V. Pavlu, and R. Savell. A unified model for metasearch and the efficient evaluation of retrieval systems via the hedge algorithm. In Proc. 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 393-394, July 2003.
3. M. Hearst. Texttiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics, 23(1):33-64, 1997.
4. J.-H. Lee. Analyses of multiple evidence combination. In 20th annual SIGIR, pages 267-276, 1997.
5. D. Losada and L. Azzopardi. An analysis on document length retrieval trends in language modeling smoothing. Springer Information Retrieval Journal, 11:109-138, 2008.
6. M. Montague and J. A. Aslam. Relevance score normalization for metasearch. In H. Paques, L. Liu, and D. Grossman, editors, Proceedings of the Tenth International Conference on Information and Knowledge Management, pages 427-433. ACM Press, November 2001.
7. M. Montague and J. A. Aslam. Condorcet fusion for improved retrieval. In Proceedings of the Eleventh International Conference on Information and Knowledge Management (CIKM), pages 538-548, November 2002.
8. J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In Proceedings of the ACM SIGIR Conference, pages 275-281, 1998.
9. S. Robertson, S. Walker, S. Jones, M. Hancock-Beaulieu, and M. Gatford. Okapi at trec-3. In 3rd annual Text REtrieval Conference, NIST - Gaithersburg, MD, 1994.
10. S. E. Robertson and K. S. Jones. Simple, proven approaches to text retrieval. Technical Report UCAM-CL-TR-356, University of Cambridge, Computer Laboratory, University of Cambridge, 1997.
11. G. Salton and C. Buckley. Term weighting approaches in automatic text retrieval. Information Processing and Management, 24:513-523, 1988.
12. G. Salton and M. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983.
13. J. A. Shaw and E. A. Fox. Combination of multiple searches. In Text (REtrieval) Conference, pages 105-108, 1994.
14. A. Singhal, C. Buckley, and M. Mitra. Pivoted document length normalization. In SIGIR '96, pages 21-29, New York, NY, USA, 1996. ACM.
15. C. G. M. Snoek, M. Worring, and A. W. M. Smeulders. Early versus late fusion in semantic video analysis. In Proceedings of the ACM International Conference on Multimedia, page 399402, Singapore, November 2005.
16. H. Turtle and W. B. Croft. Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems, 9(3):187-222, 1991.
17. J. Xu and H. Li. Adarank: a boosting algorithm for information retrieval. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 391-398, Amsterdam, The Netherlands, 2007. ACM Press.