A Unified Model for Metasearch and the Efficient Evaluation of Retrieval Systems via the Hedge Algorithm

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue SPEC. ISS., 2003, Pages 393-394

  Aslam, Javed A ^a   Pavlu, Virgiliu ^a   Savell, Robert ^a  

^a Dartmouth Department of Computer Science_Dartmouth College   (United States)

Author keywords

Metasearch; Pooling; Retrieval Systems

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; LINEAR SYSTEMS; MATHEMATICAL MODELS; PERFORMANCE;

HEDGE ALGORITHMS; POOLING;

INFORMATION RETRIEVAL;

EID: 1542347743     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: 10.1145/860500.860517     Document Type: Conference Paper

References (4)

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2. W. B. Croft, A. Moffat, C. J. van Rijsbergen, R. Wilkinson, and J. Zobel, editors. Proceedings of the 21th Annual International, ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, Australia, Aug. 1998. ACM Press, New York.
3. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, Aug. 1997.
4. J. Zobel. How reliable are the results of large-scale retrieval experiments? In Croft et al. [2], pages 307-314.