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Volumn 6443 LNCS, Issue PART 1, 2010, Pages 322-329

A probability click tracking model analysis of web search results

Author keywords

[No Author keywords available]

Indexed keywords

REAL WORLD DATA; SEARCH RESULTS; STANDARD METRICS; TRACKING MODELS; WEB DOCUMENT; WEB SEARCHES; COMPETITIVE PERFORMANCE; DATA SET; REAL-WORLD; WEB SEARCH RESULTS;

EID: 78650185883     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17537-4_40     Document Type: Conference Paper
Times cited : (2)

References (9)
  • 2
    • 57349140734 scopus 로고    scopus 로고
    • A user browsing model to predict search engine click data from past observations
    • ACM, New York
    • Dupret, G.E., Piwowarski, B.: A user browsing model to predict search engine click data from past observations. In: Proceedings of the 31st Annual International ACM SIGIR, pp. 331-338. ACM, New York (2008)
    • (2008) Proceedings of the 31st Annual International ACM SIGIR , pp. 331-338
    • Dupret, G.E.1    Piwowarski, B.2
  • 9
    • 33749567020 scopus 로고    scopus 로고
    • Mining long-term search history to improve search accuracy
    • ACM, New York
    • Tan, B., Shen, X., Zhai, C.X.: Mining long-term search history to improve search accuracy. In: Proceedings of the 12th ACM SIGKDD, p. 723. ACM, New York (2006)
    • (2006) Proceedings of the 12th ACM SIGKDD , pp. 723
    • Tan, B.1    Shen, X.2    Zhai, C.X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.