2026-06-08T09:50:48Zhttps://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

HappyMovie: A Facebook Application for Recommending Movies to Groups Quijano-Sanchez, Lara Díaz Agudo, María Belén Recio García, Juan Antonio IEEE Computing Society 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. 2024-01-23T15:15:38Z 2024-01-23T15:15:38Z 2011 conference paper 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 eng restricted access