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Volumn , Issue , 2009, Pages

Leveraging crowdsourcing heuristics to improve search in Wikipedia

Author keywords

H.3.3 information search and retrieval : information filtering; H.3.5 online information services : web based services

Indexed keywords

INFORMATION FILTERING; INFORMATION SEARCH AND RETRIEVAL; ONLINE INFORMATION SERVICES; RE-RANKING; SEARCH RESULTS; WEB SEARCH ENGINES; WEB-BASED SERVICE; WIKIPEDIA;

EID: 74049087121     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1641309.1641348     Document Type: Conference Paper
Times cited : (3)

References (5)
  • 1
    • 0033645041 scopus 로고    scopus 로고
    • IR evaluation methods for retrieving highly relevant documents
    • New York, NY, USA, ACM
    • K. Järvelin and J. Kekäläinen. IR evaluation methods for retrieving highly relevant documents. In Proceedings of the ACM SIGIR conference, pages 41-48, New York, NY, USA, 2000. ACM.
    • (2000) Proceedings of the ACM SIGIR conference , pp. 41-48
    • Järvelin, K.1    Kekäläinen, J.2
  • 2
    • 74049157514 scopus 로고    scopus 로고
    • D. Reeves and D. Pennock. How and when to listen to the crowd. Electronically
    • D. Reeves and D. Pennock. How and when to listen to the crowd. Electronically.
  • 5
    • 34247131197 scopus 로고    scopus 로고
    • Assessing the value of cooperation in wikipedia
    • D. M. Wilkinson and B. A. Huberman. Assessing the value of cooperation in wikipedia. Firstmonday, 2007.
    • (2007) Firstmonday
    • Wilkinson, D.M.1    Huberman, B.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.