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Volumn , Issue , 2009, Pages 800-801

Term-based commercial intent analysis

Author keywords

Ad targeting; Clickthrough; Query intent; Query log

Indexed keywords

CLICK RATES; INTENT ANALYSIS; PROBABILISTIC MODELS; QUERY LOGS; QUERY TERMS;

EID: 72449204183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572135     Document Type: Conference Paper
Times cited : (18)

References (6)
  • 2
    • 0142030258 scopus 로고    scopus 로고
    • A taxonomy of Web search
    • A. Broder. A taxonomy of Web search. ACM SIGIR Forum, 36(2):3-10, 2002.
    • (2002) ACM SIGIR Forum , vol.36 , Issue.2 , pp. 3-10
    • Broder, A.1
  • 3
    • 34250630960 scopus 로고    scopus 로고
    • Detecting Online Commercial Intention (OCI)
    • H. Dai, L. Zhao, Z. Nie, J. Wen, L. Wang, and Y. Li. Detecting Online Commercial Intention (OCI). WWW, pages 829-837, 2006.
    • (2006) , pp. 829-837
    • Dai, H.1    Zhao, L.2    Nie, Z.3    Wen, J.4    Wang, L.5    Li, Y.6
  • 4
    • 35348844063 scopus 로고    scopus 로고
    • Determining the user intent of Web search engine queries
    • B. Jansen, D. Booth, and A. Spink. Determining the user intent of Web search engine queries. WWW, pages 1149-1150, 2007.
    • (2007) , pp. 1149-1150
    • Jansen, B.1    Booth, D.2    Spink, A.3
  • 5
    • 72449153325 scopus 로고    scopus 로고
    • M. Regelson and D. Fain. Predicting clickthrough rate using keyword clusters. WWW, 2006.
    • M. Regelson and D. Fain. Predicting clickthrough rate using keyword clusters. WWW, 2006.
  • 6
    • 19944362539 scopus 로고    scopus 로고
    • Understanding user goals in Web search
    • D. Rose and D. Levinson. Understanding user goals in Web search. WWW, pages 13-19, 2004.
    • (2004) , pp. 13-19
    • Rose, D.1    Levinson, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.