2026-06-08T12:23:51Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/948272025-05-06T23:56:04Zcom_20.500.14352_14col_20.500.14352_20

00925njm 22002777a 4500 dc Quijano-Sanchez, Lara author Díaz Agudo, María Belén author Recio García, Juan Antonio author 2011 The goal of this paper is to show a movie recom mender system for groups of people, integrated in the social network Facebook through an application called HappyMovie. This application tries to mitigate certain limitations in existing group recommender systems, like obtaining the users profile or offering trading methods for users in order to reach a final agreement. The method used to make the group recom mendation is based on three important features: personality, social trust and memory of past recommendations. This way we simulate in a more realistic way the argumentation process followed by groups of people when deciding a joint activity. L. Quijano-Sanchez, J. A. Recio-Garcia and B. Diaz-Agudo, "HappyMovie: A Facebook Application for Recommending Movies to Groups," 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, Boca Raton, FL, USA, 2011, pp. 239-244, doi: 10.1109/ICTAI.2011.44. 978-1-4577-2068-0 1082-3409 10.1109/ICTAI.2011.44 https://hdl.handle.net/20.500.14352/94827 https://doi.org/10.1109/ICTAI.2011.44 HappyMovie: A Facebook Application for Recommending Movies to Groups