References
- 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) (2005) 734–749.
- G. Adomavicius, and A. Tuzhilin, Context-aware recommender systems, Recommender Systems Handbook, (2011). 217–253.
- I. Arapakis, Y. Moshfeghi, H. Joho, R. Ren, D. Hannah, and J. M. Jose, Enriching user profiling with affective features for the improvement of a multimodal recommender system, In Proceedings of the ACM International Conference on Image and Video Retrieval (2009), pp. 29:1–29:8.
- D. L. Bartlett, Physiological responses to music and sound stimuli, Handbook of music psychology, 2 (ACM, 1996) 343–385.
- J. S. Breese, D. Heckerman, and C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence, ( Morgan Kaufmann, 1998), pp. 43–52.
- R. Cai, C. Zhang, C. Wang, L. Zhang, and W. Y. Ma, Musicsense: contextual music recommendation using emotional allocation modeling, In Proceedings of the 15th international conference on Multimedia (ACM, 2007), pp. 553–556.
- P. Ekman, An argument for basic emotions, Cognition & Emotion, 6(3-4) (1992) 169–200.
- J. Herlocker, J. A. Konstan, and J. Riedl, ( 2002). An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms, Information retrieval, 5(4) (2002) 287–310.
- A. Huq, J. P. Bello, and R. Rowe, Automated music emotion recognition: A systematic evaluation, Journal of New Music Research, 39(3) (2010) 227–244.
- M. Jamali, and M. Ester, A matrix factorization technique with trust propagation for recommendation in social networks, In Proceedings of the fourth ACM conference on Recommender systems (ACM, 2010), pp. 135–142.
- P. N. Juslin, and J. Sloboda, Handbook of Music and Emotion: Theory, Research, Applications, (2009) OUP Oxford.
- M. Kaminskas, and F. Ricci, Contextual music information retrieval and recommendation: State of the art and challenges, Computer Science Review, 6(2-3) (2012), 89–119.
- V. J. Konečni, A. Brown, and R. A. Wanic, Comparative effects of music and recalled life-events on emotional state, Psychology of music, 36(3) (2008) 289–308.
- I. Konstas, V. Stathopoulos, and J. M. Jose, On social networks and collaborative recommendation, In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (ACM, 2009), pp. 195–202.
- J. Lee, Music for my mood: A music recommendation system based on context reasoning, Smart sensing and context, LNCS 4272, (2006) 190–203.
- P. Massa, and P. Avesani, Trust-aware bootstrapping of recommender systems, In ECAI 2006 Workshop on Recommender Systems, (Riva del Garda, Italy, 2006), pp. 29–33.
- P. Massa, and P. Avesani, Trust metrics in recommender systems, Computing with social trust, (2009) 259–285.
- Y. Matsuo, and H. Yamamoto, Community gravity: measuring bidirectional effects by trust and rating on online social networks, In Proceedings of the 18th international conference on World wide web (ACM, 2009), pp. 751–760.
- A. C. North, and D. J. Hargreaves, Situational influences on reported musical preference, Psychomusicology: Music, Mind & Brain, 15(1) (1996) 30–45.
- J. A. Russell, and J. H. Steiger, The structure in persons’ implicit taxonomy of emotions, Journal of Research in Personality, 16(4) (1982) 447–469.
- S. Saarikallio, and J. Erkkilä, The role of music in adolescents’ mood regulation, Psychology of music, 35(1) (2007) 88–109.
- U. Shardanand, and P. Maes, Social information filtering: algorithms for automating “word of mouth”, In Proceedings of the SIGCHI conference on Human factors in computing systems (ACM Press/Addison-Wesley Publishing Co, 1995), pp. 210–217.
- P. Victor, C. Cornelis, M. De Cock, and P. Pinheiro da Silva, Gradual trust and distrust in recommender systems, Fuzzy Sets and Systems, 160(10) (2009) 1367–1382.
- M. Zentner, D. Grandjean, and K. R. Scherer, Emotions evoked by the sound of music: characterization, classification, and measurement, Emotion, 8(4) (2008) 494.