Personality and social context: Impact on emotion induction from movies

CEUR Workshop Proceedings

Volumn 997, Issue , 2013, Pages

  Odić, Ante ^a   Tkalčič, Marko ^b   Tasič, Jurij F ^a   Košir, Andrej ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

Context aware; Personality; Recommender systems; User modeling

Indexed keywords

RECOMMENDER SYSTEMS;

CONTEXT-AWARE; CONTEXT-AWARE RECOMMENDER SYSTEMS; CONTEXTUAL INFORMATION; EMOTION INDUCTIONS; PERSONALITY; RESEARCH QUESTIONS; SOCIAL CONTEXT; USER MODELING;

MOTION PICTURES;

EID: 84924353433     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Adomavicius, G., Tuzhilin, A.: 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 (Jun 2005), http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1423975
2. Baltrunas, L., Ludwig, B., Peer, S., Ricci, F.: Context relevance assessment and exploitation in mobile recommender systems. Personal and Ubiquitous Computing pp. 1-20 (Jun 2011), http://www.springerlink.com/index/10.1007/s00779-011-0417-x
3. Dey, A., Abowd, G.: Towards a better understanding of context and context-awareness. Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing pp. 304-307 (1999), http://portal.acm.org/citation.cfm?id=743843
4. Herlocker, J., Konstan, J., Terveen, L., Riedl, J.: Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems 22(1), 5-53 (2004), http://portal.acm.org/citation.cfm?id=963772
5. Johnson, J.A.: Descriptions used in ipip-neo narrative report (2005)
6. Košir, A., Odić, A., Kunaver, M., Tkalcic, M., Tasic, J.: Database for contextual personalization. ELEKTROTEHNI-SKI VESTNIK 78(5), 270-274 (2011)
7. McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. Journal of personality 60(2), 175-215 (1992)
8. Odić, A., Tkalčič, M., Tasič, J.F., Košir, A.: Predicting and detecting the relevant contextual information in a movie-recommender system. Interacting with Comput-ers 25(1), 74-90 (2013)
9. Odić, A., Tkalčič, M., Tasič, J.F., Košir, A.: Impact of the context relevancy on ratings prediction in a movie-recommender system. Automatika-Journal for Control, Measurement, Electronics, Computing and Communications 55(1) (2013)
10. Tkalčič, M., Burnik, U., Košir, A.: Using affective parameters in a content-based recommender system for images. User Modeling and User-Adapted Interaction 20(4), 279-311 (2010)
11. Tkalcic, M., Odic, A., Kosir, A., Tasic, J.: Affective labeling in a content-based recommender system for images (2013)
12. Toutain, F., Bouabdallah, A., Zemek, R., Daloz, C.: Interpersonal Context-Aware Communication Services. IEEE Communications Magazine (January), 68-74 (2011)
13. Westen, D.: Psychology, mind, brain &. Culture, New York: John Wiley & Sons, Inc (1996)
14. Yik, M.S., Russell, J.A., Ahn, C.k., Dols, J.M.F., Suzuki, N.: Relating the five-factor model of personality to a circumplex model of affect. In: The five-factor model of personality across cultures, pp. 79-104. Springer (2002)