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Volumn , Issue , 2010, Pages 767-768

Evaluating whole-page relevance

Author keywords

Evaluation; Measurement; Web search relevance

Indexed keywords

EVALUATION; INFORMATION NEED; INFORMATION REDUNDANCIES; MULTIPLE SEARCH; RELEVANCE ASSESSMENTS; SEARCH RESULTS; WEB SEARCH ENGINES; WEB SEARCHES;

EID: 77956046976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835606     Document Type: Conference Paper
Times cited : (20)

References (6)
  • 1
    • 36448929056 scopus 로고    scopus 로고
    • The influence of caption features on clickthrough patterns in web search
    • Clarke, C.L.A., Agichtein, E., Dumais, S., and White, R.W. (2007). The influence of caption features on clickthrough patterns in web search. Proc. SIGIR, 135-142.
    • (2007) Proc. SIGIR , pp. 135-142
    • Clarke, C.L.A.1    Agichtein, E.2    Dumais, S.3    White, R.W.4
  • 2
    • 33645024965 scopus 로고
    • ASLIB cranfield research project on the comparative efficiency of indexing systems
    • Cleverdon, C.W. (1960). ASLIB Cranfield research project on the comparative efficiency of indexing systems. ASLIB Proceedings, XII, 421-431.
    • (1960) ASLIB Proceedings , vol.12 , pp. 421-431
    • Cleverdon, C.W.1
  • 3
    • 36849051407 scopus 로고    scopus 로고
    • Practical guide to controlled experiments on the web: Listen to your customers not to the HiPPO
    • Kohavi, R., Henne, R., and Sommerfield, D. (2007). Practical guide to controlled experiments on the web: listen to your customers not to the HiPPO. Proc. SIGKDD, 959-967.
    • (2007) Proc. SIGKDD , pp. 959-967
    • Kohavi, R.1    Henne, R.2    Sommerfield, D.3
  • 5
    • 53849148992 scopus 로고    scopus 로고
    • On test collections for adaptive information retrieval
    • Voorhees, E.M. (2008). On test collections for adaptive information retrieval. Information Processing and Management, 44(6): 1879-1885.
    • (2008) Information Processing and Management , vol.44 , Issue.6 , pp. 1879-1885
    • Voorhees, E.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.