Using Personality to Create Alliances in Group Recommender Systems

Our recent work analyses the accuracy of group recommenders when using information about the personality and the social connections between the members of the group. The goal in this paper is the use of personality and trust as the mean to define alliances to reach agreements inside a group of people. The approach reproduces the behaviour of real users when negotiating a common item to consume using three variables: personality, trust and personal preferences. We run an experiment in the movie recommendation domain where we use a personality test to identify the group leaders and test the number of people they are able to convince about a certain item to consume.

[1]  Sandip Sen,et al.  On the stability of an Optimal Coalition Structure , 2010, ECAI.

[2]  Pedro A. González-Calero,et al.  Building CBR systems with jcolibri , 2007, Sci. Comput. Program..

[3]  Guillermo Jiménez-Díaz,et al.  Personality aware recommendations to groups , 2009, RecSys '09.

[4]  G. Breeuwsma.  Geruchten als besmettelijke ziekte. Het succesverhaal van de Hush Puppies. Bespreking van Malcolm Gladwell, The tipping point. How little things can make a big difference. London: Little, Brown and Company, 2000 , 2000 .

[5]  Nicholas R. Jennings,et al.  Cooperative Games with Overlapping Coalitions , 2010, J. Artif. Intell. Res..

[6]  Nicholas R. Jennings,et al.  Coalition Structures in Weighted Voting Games , 2008, ECAI.

[7]  Nuno David,et al.  Agent-Based Social Simulation with Coalitions in Social Reasoning , 2000, MABS.

[8]  Antonio Hernando,et al.  Collaborative filtering adapted to recommender systems of e-learning , 2009, Knowl. Based Syst..

[9]  L. Smith-Lovin,et al.  Homophily in voluntary organizations: Status distance and the composition of face-to-face groups. , 1987 .

[10]  R. Burt.  Toward a Structural Theory of Action: Network Models of Social Structure , 1985 .

[11]  Vicki H. Allan,et al.  Methods for Coalition Formation in Adaptation-Based Social Networks , 2007, CIA.

[12]  Michael J. Pazzani,et al.  Content-Based Recommendation Systems , 2007, The Adaptive Web.

[13]  Iyad Rahwan,et al.  Argumentation in Multi-Agent Systems , 2011, Lecture Notes in Computer Science.

[14]  Jaime Simão Sichman,et al.  Multi-Agent-Based Simulation , 2002, Lecture Notes in Computer Science.

[15]  Luc Lamontagne,et al.  Case-Based Reasoning Research and Development , 1997, Lecture Notes in Computer Science.

[16]  John Riedl,et al.  PolyLens: A recommender system for groups of user , 2001, ECSCW.

[17]  Pedro A. González-Calero,et al.  Prototyping recommender systems in jcolibri , 2008, RecSys '08.

[18]  P. Lazarsfeld,et al.  Friendship as Social process: a substantive and methodological analysis , 1964 .

[19]  Daniel Z. Levin,et al.  The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer , 2004, Manag. Sci..

[20]  Barry Smyth,et al.  Recommendation to Groups , 2007, The Adaptive Web.

[21]  Morroe Berger,et al.  Freedom and control in modern society , 1954 .

[22]  Barry Smyth,et al.  Collaborative Case-Based Reasoning: Applications in Personalised Route Planning , 2001, ICCBR.

[23]  Felix A. Fischer,et al.  Cooperative Information Agents XI , 2008 .

[24]  John e. Jones.  Thomas-Kilmann Conflict Mode Instrument , 1976 .

[25]  Judith Masthoff,et al.  Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers , 2004, User Modeling and User-Adapted Interaction.

[26]  Judith Masthoff,et al.  In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems , 2006, User Modeling and User-Adapted Interaction.

[27]  Guillermo Jiménez-Díaz,et al.  Happy Movie: A Group Recommender Application in Facebook , 2011, FLAIRS.

[28]  Yen-Liang Chen,et al.  A group recommendation system with consideration of interactions among group members , 2008, Expert Syst. Appl..

[29]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[30]  Juan A. Recio-García,et al.  Personality and Social Trust in Group Recommendations , 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

[31]  Santiago Ontañón,et al.  An Argumentation-Based Framework for Deliberation in Multi-agent Systems , 2007, ArgMAS.

[32]  Juan A. Recio-Garc,et al.  Personality and Social Trust in Group Recommendations , 2010 .

[33]  Barry Smyth,et al.  Case-based recommender systems , 2005, The Knowledge Engineering Review.

[34]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[35]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[36]  Douglas W. Oard,et al.  Evaluation of information retrieval for E-discovery , 2010, Artificial Intelligence and Law.

[37]  Rashmi R. Sinha,et al.  Comparing Recommendations Made by Online Systems and Friends , 2001, DELOS.