Abstract
Nowadays, technology allows for a better understanding of user needs through system design (recommender system) methodologies that position the individual at the center of all his actions. In this paper we start by reviewing the state of the art in both individual and group recommender systems technologies. On this ground we cluster the main characteristics of recommender systems with respect to the tasks they perform, the methods they employ and the issues they address. The other theoretical part we rely on is derived from social choice theory and voting. The main objective of this paper is to highlight the role of voting in group recommender systems, more precisely discussing several voting methods together with their characteristics. Our main contributions focus on: reviewing the state of the art literature related to voting in GRS, proposing an innovative and transparent voting mechanism and highlighting the current development of our music recommender system, GroupFun.
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Adomavicius, G., Bockstedt, J., Curley, S., Zhang, J.: Impact of Recommender Systems on Consumer Preferences: A Study of Anchoring Effects (2010)
Boyd, D.M., Ellison, N.B.: Social Network Sites: Definition, History, and Scholarship. Journal of Computer-Mediated Communication 13, 210–230 (2008)
Chevaleyre, Y., Endriss, U., Lang, J., Maudet, N.: A Short Introduction to Computational Social Choice. In: van Leeuwen, J., Italiano, G.F., van der Hoek, W., Meinel, C., Sack, H., Plášil, F. (eds.) SOFSEM 2007. LNCS, vol. 4362, pp. 51–69. Springer, Heidelberg (2007)
Crossen, A., Budzik, J., Hammond, K.J.: Flytrap: Intelligent Group Music Recommendation. In: Proceedings of the 7th International Conference on Intelligent User Interfaces, Intelligent Information Laboratory, Northwestern University, USA (2002)
Gruenfeld, D.H.: Group composition and decision making: How member familiarity and information distribution affect process and performance. Organizational Behavior and Human Decision Processes 67(1) (2006)
Hastie, R., Kameda, T.: The robust beauty of majority rules in group decisions. Psychological Review 112, 494–508 (2005)
Jameson, A.: More than the sum of its members: Challenges for group recommender systems. In: Proceedings of the International Working Conference on Advanced Visual Interfaces, pp. 48–54 (2004)
Jennings, N., Faratin, P., Lomuscio, A., Parsons, S., Sierra, C., Woodridge, M.: Automated negotiation: Prospects, methods and challenges. International Journal of Group Decision and Negotiation 10(2), 199–215 (2001)
Kay, J., Niu, W.: Adapting information delivery to groups of people. In: Proceedings of the First International Workshop on New Technologies for Personalized Information Access at the Tenth International Conference on User Modeling, Edinburgh (2005)
Kerr, N.L.: Group performance and decision making. Annual Reviews Psychology 55, 623–655 (2004)
Lang, J.: Some Representation and Computational Issues in Social Choice. In: Godo, L. (ed.) ECSQARU 2005. LNCS (LNAI), vol. 3571, pp. 15–26. Springer, Heidelberg (2005)
Masthoff, J.: Group modeling Selecting a sequence of television items to suit a group of viewers (2004)
Masthoff, J.: The pursuit of satisfaction Affective state in group recommender systems. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 297–306. Springer, Heidelberg (2005)
McCarthy, J.F.: Pocket Restaurant Finder: A Situated Recommender System for Groups. Accenture Technology Labs (2002)
McCarthy, J.F., Anagnost, T.D.: MUSICFX: An Arbiter of Group Preferences for Computer Supported Collaboration. In: Proceedings of the 1998 ACM Conference on Computer Supported Cooperative Work. Center for Strategic Technology Research, Accenture (1998)
Pennock, D.M., Horvitz, E., Giles, C.L.: Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering. In: Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 729–734. AAAI Press (2000)
Ricci, F.: Decision making and recommender systems (2009)
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Popescu, G. (2013). Group Recommender Systems as a Voting Problem. In: Ozok, A.A., Zaphiris, P. (eds) Online Communities and Social Computing. OCSC 2013. Lecture Notes in Computer Science, vol 8029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39371-6_46
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DOI: https://doi.org/10.1007/978-3-642-39371-6_46
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