2026-06-08T13:38:22Zhttps://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
Docta Complutense author Quijano-Sanchez, Lara author Díaz Agudo, María Belén author Recio García, Juan Antonio editor IEEE Computing Society 2024-01-23T15:15:38Z 2024-01-23T15:15:38Z 2011 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 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. eng HappyMovie: A Facebook Application for Recommending Movies to Groups conference paper 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URL https://docta.ucm.es/bitstreams/bccb79e8-9ff9-4d00-8fc3-f37dc2640a63/download File MD5 cbfd583ed707cc2abb5d0d31d3ee8755 815302 application/pdf HappyMovie.pdf URL https://docta.ucm.es/bitstreams/f9a55bd8-3163-4a34-b99c-bd2d4fefe836/download File MD5 fc291c56316542842672b12e7caa8672 31677 text/plain 2- 2011 ICTAI.pdf.txt