Personality-based recommender systems: An overview

RecSys'12 - Proceedings of the 6th ACM Conference on Recommender Systems

Volumn , Issue , 2012, Pages 5-6

  Nunes, Maria Augusta S N ^a   Hu, Rong ^b  

^a FEDERAL UNIVERSITY OF SERGIPE   (Brazil)

^b EPFL   (Switzerland)

Author keywords

Personality based recommender system

Indexed keywords

CRITICAL FACTORS; HIGH POTENTIAL; RESEARCH DIRECTIONS; USER EXPERIENCE;

RECOMMENDER SYSTEMS;

EID: 84867370159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2365957     Document Type: Conference Paper

References (5)

1. Adomavicius, G. and Tuzhilin, A. 2005. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Trans. on Knowl. and Data Eng. 17, 6, 734-749. (Pubitemid 40860454)
2. Hu, R. and Pu, P. 2010. A Study on User Perception of Personality-Based Recommender Systems.User Modeling, Adaptation, and Personalization, De, B., Kobsa, A. and Chin, D., eds. 6075, Springer Berlin/Heidelberg, 291-302.
3. Nunes, M.A.S.N. 2009. Recommender Systems based on Personality Traits: Could human psychological aspects influence the computer decision-making process? VDM Verlag, Berlin.
4. Rentfrow, P.J. and Gosling, S.D. 2003. The do re mi's of everyday life: the structure and personality correlates of music preferences. J Pers Soc Psychol. 84, 6 (Jun), 1236- 1256. (Pubitemid 37189381)
5. Ricci, F., Rokach, L., Kantor, P.B. and Shapira, B. 2011. Recommender Systems Handbook. Springer.