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Volumn , Issue , 2009, Pages 457-468

Contextual ranking of keywords using click data

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TEXT SUMMARIZATION; BASELINE MODELS; CLICKTHROUGH DATA; CONCEPT EXTRACTION; ENTITY DETECTION; ERROR RATE; FEATURE SPACE; INPUT SIZE; INTERESTINGNESS; NEW APPROACHES; NOISE REDUCTIONS; OVERALL QUALITY; QUERY LOGS; USER SATISFACTION; USER-CENTRIC;

EID: 67649668622     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2009.76     Document Type: Conference Paper
Times cited : (14)

References (33)
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  • 8
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    • Kapur, S.1    Joshi, D.2
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    • Broder, A.Z.1
  • 15
    • 0742306220 scopus 로고    scopus 로고
    • Modeling the clickstream: Implications for web-based advertising efforts
    • P. Chatterjee, D. L. Hoffman, and T. P. Novak, "Modeling the clickstream: Implications for web-based advertising efforts," Marketing Science, vol. 22, no. 4, pp. 520-541, 2003.
    • (2003) Marketing Science , vol.22 , Issue.4 , pp. 520-541
    • Chatterjee, P.1    Hoffman, D.L.2    Novak, T.P.3
  • 17
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    • Porter, M.1
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    • Learning algorithms for keyphrase extraction
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    • Turney, P.1
  • 31
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    • Mining the web for lexical knowledge to improve keyphrase extraction: Learning from labeled and unlabeled data, CoRR, vol
    • cs.LG/0212011
    • P. D. Turney, "Mining the web for lexical knowledge to improve keyphrase extraction: Learning from labeled and unlabeled data," CoRR, vol. cs.LG/0212011, 2002.
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    • Turney, P.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.