Using rankboost to compare retrieval systems

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2005, Pages 309-310

  Vu, Huyen Trang ^a   Gallinari, Patrick ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

Pooling; RankBoost; XML retrieval evaluation

Indexed keywords

ALGORITHMS; COMPUTER PROGRAMMING LANGUAGES; INFORMATION MANAGEMENT; KNOWLEDGE ENGINEERING; LEARNING SYSTEMS; SET THEORY; XML;

POOLING; RANKBOOST; WORKLOAD; XML RETRIEVAL EVALUATION;

INFORMATION RETRIEVAL SYSTEMS;

EID: 33745785073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1099554.1099641     Document Type: Conference Paper

References (4)

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2. Y. Freund, R. Iyer, R. E. Schapire, and Y. Singer. An efficient boosting algorithm for combining preferences. Journal of Machine Learning Research, 4:933-969, Nov. 2003.
3. B. Piwowarski and M. Lalmas. Providing Consistent and Exhaustive Relevance Assessments for XML Retrieval Evaluation. In CIKM'04, Nov. 2004.
4. J. Tague-Sutcliffe and J. Blustein. A statistical analysis of the TREC-3 data. In Overview of the Third Text REtrieval Conference (TREC-3), NIST Special Publication 500-225, pages 385-398, Apr. 1995.