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Volumn , Issue , 2009, Pages 221-224

Acceptance issues of personality-based recommender systems

Author keywords

Personality quiz; Personality based recommender; Rating based recommender; Recommender systems; Technology acceptance model; User study

Indexed keywords

EMERGING TRENDS; RECOMMENDER SYSTEMS; TECHNOLOGY ACCEPTANCE MODEL; USER STUDY; USERS' ACCEPTANCE;

EID: 72549102789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1639714.1639753     Document Type: Conference Paper
Times cited : (79)

References (11)
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  • 3
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    • Pu, P.1    Chen, L.2
  • 4
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    • User acceptance of computer technology: A comparison of two theoretical models
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    • (1989) Management Science , vol.35 , Issue.8 , pp. 982-1003
    • Davis, F.D.1    Bagozzi, R.P.2    Warshaw, P.R.3
  • 5
    • 72549099438 scopus 로고    scopus 로고
    • Evaluating Interface Variants on Personality Acquisition for Recommender Systems
    • To appear in, Trento, Italy
    • Dunn, G., Wiersema, J., Ham J. and Aroyo, L. Evaluating Interface Variants on Personality Acquisition for Recommender Systems. To appear in proceedings of UMAP'09, Trento, Italy, 2009.
    • (2009) proceedings of UMAP'09
    • Dunn, G.1    Wiersema, J.2    Ham, J.3    Aroyo, L.4
  • 6
    • 34547355340 scopus 로고    scopus 로고
    • Building Online Trust through Socially Rich Web Interfaces
    • Fredericton, Canada, October 13-15
    • Hassanein, K. and Head, M. Building Online Trust through Socially Rich Web Interfaces. In Proceedings of PST'04, Fredericton, Canada, October 13-15, 15-22, 2004.
    • (2004) Proceedings of PST'04 , pp. 15-22
    • Hassanein, K.1    Head, M.2
  • 8
    • 72549111774 scopus 로고    scopus 로고
    • User Technology Adoption Issues in Recommender Systems
    • Jone, N. and Pu, P. User Technology Adoption Issues in Recommender Systems. In Proc. of NAEC'07, p. 379-394, 2007.
    • (2007) Proc. of NAEC'07 , pp. 379-394
    • Jone, N.1    Pu, P.2
  • 9
    • 72549095014 scopus 로고    scopus 로고
    • Exploiting and Learning Human Temperaments for Customized Information Recommendations
    • Lin, C. and McLeod, D. Exploiting and Learning Human Temperaments for Customized Information Recommendations. IMSA, 218-233, 2002.
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    • Lin, C.1    McLeod, D.2
  • 10
    • 72549099437 scopus 로고    scopus 로고
    • Nunes, M. A. S. N., Recommender System Based on Personality Traits. PhD thesis. Université Montpellier 2-LIRMM. 2008.
    • Nunes, M. A. S. N., Recommender System Based on Personality Traits. PhD thesis. Université Montpellier 2-LIRMM. 2008.
  • 11
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    • A comparative user study on rating vs. personality quiz based preference elicitation methods
    • Sanibel Island, Florida, USA, February 08-11
    • Hu R. and Pu P. A comparative user study on rating vs. personality quiz based preference elicitation methods. In Proceedings of IUI'09, pages 367-372, Sanibel Island, Florida, USA, February 08-11, 2009.
    • (2009) Proceedings of IUI'09 , pp. 367-372
    • Hu, R.1    Pu, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.