A boosting approach to improving pseudo-relevance feedback

SIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2011, Pages 165-174

  Lv, Yuanhua ^a   Zhai, Cheng Xiang ^a   Chen, Wan ^b  

^a University of Illinois at Urbana Champaign   (United States)

^b WOLFRAM RESEARCH INC   (United States)

Author keywords

Boosting; FeedbackBoost; Learning; Loss function; Optimization; Pseudo relevance feedback; Robustness

Indexed keywords

IMAGE RETRIEVAL; LEARNING ALGORITHMS; OPTIMIZATION; ROBUSTNESS (CONTROL SYSTEMS);

BOOSTING; FEEDBACKBOOST; LEARNING; LOSS FUNCTIONS; PSEUDO RELEVANCE FEEDBACK;

FEEDBACK;

EID: 80052119056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2009916.2009942     Document Type: Conference Paper

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