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Volumn 740, Issue , 2011, Pages 106-111

Addressing the new user problem with a personality based user similarity measure

Author keywords

Memory based collaborative recommender system; New user problem; Personality based user similarity measure

Indexed keywords

COLD START; COLLABORATIVE RECOMMENDER SYSTEMS; NEW USER PROBLEMS; SIMILARITY MEASURE; USER'S INTEREST;

EID: 84891909548     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (9)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • DOI 10.1109/TKDE.2005.99
    • G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6):734-749, 2005. (Pubitemid 40860454)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
    • DOI 10.1016/j.ins.2007.07.024, PII S0020025507003751
    • H.J. Ahn. A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences, 178(1):37-51, 2008. (Pubitemid 47531785)
    • (2008) Information Sciences , vol.178 , Issue.1 , pp. 37-51
    • Ahn, H.J.1
  • 3
    • 84860712509 scopus 로고    scopus 로고
    • Using personality information in collaborative filtering for new users
    • R. Hu and P. Pu. Using Personality Information in Collaborative Filtering for New Users. Recommender Systems and the Social Web, page 17, 2010.
    • (2010) Recommender Systems and the Social Web , pp. 17
    • Hu, R.1    Pu, P.2
  • 4
    • 0003162764 scopus 로고    scopus 로고
    • The big five trait taxonomy: History, measurement, and theoretical perspectives
    • Lawrence A. Pervin and Oliver P. John, editors, Guilford Press, New York, second edition
    • Oliver P. John and Sanjay Srivastava. The big five trait taxonomy: History, measurement, and theoretical perspectives. In Lawrence A. Pervin and Oliver P. John, editors, Handbook of Personality: Theory and Research, pages 102-138. Guilford Press, New York, second edition, 1999. URL http://www.uoregon.edu/\~{}sanjay/pubs/bigfive.pdf.
    • (1999) Handbook of Personality: Theory and Research , pp. 102-138
    • John, O.P.1    Srivastava, S.2
  • 6
    • 33746066605 scopus 로고    scopus 로고
    • Using trust in recommender systems: An experimental analysis
    • Oxford, UK, March 29-April 1, 2004: proceedings, Springer-Verlag New York Inc
    • P. Massa and B. Bhattacharjee. Using Trust in Recommender Systems: An Experimental Analysis. In Trust management: second international conference, iTrust 2004, Oxford, UK, March 29-April 1, 2004: proceedings, page 221. Springer-Verlag New York Inc, 2004.
    • (2004) Trust Management: Second International Conference, ITrust 2004 , pp. 221
    • Massa, P.1    Bhattacharjee, B.2
  • 8
    • 84874784901 scopus 로고    scopus 로고
    • Personality based user similarity measure for a collaborative recommender system
    • C. Peter, E. Crane, L. Axelrod, H. Agius, S. Afzal, and M. Balaam, editors, Fraunhofer Verlag, September
    • Marko Tkalčič, Matevž Kunaver, Jurij Tasič, and Andrej Košir. Personality based user similarity measure for a collaborative recommender system. In C. Peter, E. Crane, L. Axelrod, H. Agius, S. Afzal, and M. Balaam, editors, Proceedings of the 5th Workshop on Emotion in Human-Computer Interaction - Real world challenges, pages 30-37. Fraunhofer Verlag, September 2009.
    • (2009) Proceedings of the 5th Workshop on Emotion in Human-Computer Interaction - Real World Challenges , pp. 30-37
    • Tkalčič, M.1    Kunaver, M.2    Tasič, J.3    Košir, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.