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Volumn , Issue , 2017, Pages 281-286

Education-specific tag recommendation in CQA systems

Author keywords

Community question answering; MOOC; Tag recommendation

Indexed keywords

EDUCATION; TEACHING;

EID: 85026744579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3099023.3099081     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 3
    • 84871088146 scopus 로고    scopus 로고
    • An effective category classification method based on a language model for question category recommendation on a cQA service
    • ACM Press, New York, New York, USA
    • Kyoungman Bae and Youngjoong Ko. 2012. An effective category classification method based on a language model for question category recommendation on a cQA service. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management - CIKM '12. ACM Press, New York, New York, USA, 2255-2258.
    • (2012) Proceedings of the 21st ACM International Conference on Information and Knowledge Management - CIKM '12 , pp. 2255-2258
    • Bae, K.1    Ko, Y.2
  • 11
    • 84893367414 scopus 로고    scopus 로고
    • Learning to recommend descriptive tags for questions in social forums
    • jan 2014
    • Liqiang Nie, Yi-Liang Zhao, Xiangyu Wang, Jialie Shen, and Tat-seng Chua. 2014. Learning to Recommend Descriptive Tags for Questions in Social Forums. ACM Transactions on Information Systems 32, 1 (jan 2014), 1-23.
    • (2014) ACM Transactions on Information Systems , vol.32 , Issue.1 , pp. 1-23
    • Nie, L.1    Zhao, Y.-L.2    Wang, X.3    Shen, J.4    Chua, T.-S.5
  • 16
    • 84977527429 scopus 로고    scopus 로고
    • A Comprehensive survey and classification of approaches for community question answering
    • aug 2016
    • Ivan Srba and Maria Bielikova. 2016. A Comprehensive Survey and Classification of Approaches for Community Question Answering. ACM Transactions on the Web 10, 3(aug 2016), 1-63.
    • (2016) ACM Transactions on the Web , vol.10 , Issue.3 , pp. 1-63
    • Srba, I.1    Bielikova, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.