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Volumn , Issue , 2008, Pages 1143-1152

Trada: Tree based ranking function adaptation

Author keywords

Learning to rank; Model adaptation; Regression tree; Web search ranking

Indexed keywords

GLOBAL DISTRIBUTION; GRADIENT BOOSTING; LEARNING TO RANK; MODEL ADAPTATION; MODELING METHOD; NEW APPROACHES; QUALITY RANKING; RANKING APPROACH; RANKING FUNCTIONS; REGRESSION TREE; TARGET DOMAIN; TRAINING DATA; TREE-BASED; TREE-BASED STRUCTURES; UNIQUE FEATURES; WEB SEARCH ENGINES; WEB SEARCH RANKING; WEB SEARCHES; WEIGHT TRAINING;

EID: 70349250040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1458082.1458233     Document Type: Conference Paper
Times cited : (34)

References (23)
  • 10
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • FRIEDMAN, J. H. Greedy function approximation: A gradient boosting machine. Annals of Statistics 29, 5 (2001), 1189-1232.
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • FRIEDMAN, J.H.1
  • 18
    • 0001135471 scopus 로고
    • Flexible speaker adaptation using maximum likelihood linear regression
    • LEGGETTER, C., and WOODLAND, P. Flexible speaker adaptation using maximum likelihood linear regression. In Proceedings of Eurospeech (1995).
    • (1995) Proceedings of Eurospeech
    • LEGGETTER, C.1    WOODLAND, P.2
  • 20
    • 8644231803 scopus 로고    scopus 로고
    • Discriminative models for information retrieval
    • NALLAPATI, R. Discriminative models for information retrieval. In Proceedings of ACM SIGIR Conference (2004), pp. 64-71.
    • (2004) Proceedings of ACM SIGIR Conference , pp. 64-71
    • NALLAPATI, R.1
  • 22
    • 36448954244 scopus 로고    scopus 로고
    • AdaRank: A boosting algorithm for information retrieval
    • XU, J., and LI, H. AdaRank: a boosting algorithm for information retrieval. In Proceedings of ACM SIGIR Conference (2007).
    • (2007) Proceedings of ACM SIGIR Conference
    • XU, J.1    LI, H.2
  • 23
    • 36448953520 scopus 로고    scopus 로고
    • A regression framework for learning ranking functions using relative relevance judgments
    • ZHENG, Z., CHEN, K., SUN, G., and ZHA, H. A regression framework for learning ranking functions using relative relevance judgments. In SIGIR (2007), pp. 287-294.
    • (2007) SIGIR , pp. 287-294
    • ZHENG, Z.1    CHEN, K.2    SUN, G.3    ZHA, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.