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Volumn , Issue , 2008, Pages 53-60

A few bad votes too many? Towards robust ranking in social media

Author keywords

Community question answering; Ranking, robustness; Social media; Vote spam

Indexed keywords

COMMUNITY QUESTION ANSWERING; EXPERIMENTAL EVALUATIONS; HIGH QUALITIES; MACHINE-LEARNING; RANKING, ROBUSTNESS; SOCIAL MEDIA; USER FEEDBACKS; USER INTERACTIONS; VOTE SPAM;

EID: 63049093024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1451983.1451997     Document Type: Conference Paper
Times cited : (44)

References (20)
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  • 2
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  • 5
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    • Greedy function approximation: A gradient boosting machine
    • J. Friedman. Greedy function approximation: a gradient boosting machine. In Ann. Statist., 2001.
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    • Friedman, J.1
  • 8
    • 33745772402 scopus 로고    scopus 로고
    • Finding similar questions in large question and answer archives
    • J. Jeon, W. Croft, and J. Lee. Finding similar questions in large question and answer archives. In Proceedings of CIKM, 2005.
    • (2005) Proceedings of CIKM
    • Jeon, J.1    Croft, W.2    Lee, J.3
  • 9
    • 33750365542 scopus 로고    scopus 로고
    • A framework to predict the quality of answer's with non-textual features
    • J. Jeon, W. Croft, J. Lee, and S. Park. A framework to predict the quality of answer's with non-textual features. In Proceedings of SIGIR, 2006.
    • (2006) Proceedings of SIGIR
    • Jeon, J.1    Croft, W.2    Lee, J.3    Park, S.4
  • 10
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • T. Joachims. Optimizing search engines using clickthrough data. In Proceedings of KDD, 2002.
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    • D. Kelly and J. Teevan. Implicit feedback for inferring user preference: A bibliography. In SIGIR Forum, 2003.
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    • Kelly, D.1    Teevan, J.2
  • 15
    • 36348956237 scopus 로고    scopus 로고
    • Fighting spam on social web sites: A survey of approaches and future challenges
    • H. P. G. Koutrika, and H. Garcia-Molina. Fighting spam on social web sites: a survey of approaches and future challenges. In Internet Computing, IEEE, 2007.
    • (2007) Internet Computing, IEEE
    • Koutrika, H.P.G.1    Garcia-Molina, H.2
  • 19
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    • Overview of the TREC 2003 question answering track
    • E. M. Voorhees. Overview of the TREC 2003 question answering track. In Text REtrieval Conference, 2003.
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  • 20
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    • A regression framework for learning ranking functions using relative relevance judgments
    • Z. Zheng, H. Zha, K. Chen, and G. Sun. A regression framework for learning ranking functions using relative relevance judgments. In Proc. of SIGIR, 2007.
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    • Zheng, Z.1    Zha, H.2    Chen, K.3    Sun, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.