2026-06-29T02:40:36Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/454032024-08-23T12:26:58Zcom_20.500.14352_14col_20.500.14352_21
User satisfaction in long term group recommendations
Quijano Sánchez, Lara
Recio García, Juan Antonio
Díaz Agudo, María Belén
004.8
Systems
Informática (Informática)
1203.17 Informática
© Springer Verlag Berlin Heidelberg 2011. International Conference on Case-Based Reasoning (19th. Sep 11-14, 2011. London, England). Supported by Spanish Ministry of Science & Education
(TIN2009-13692-C03-03) and Madrid Education Council and UCM (Group
910494).
In this paper we introduce our application HappyMovie, a Facebook application for movie recommendation to groups. This system takes advantage of social data available in this social network to promote fairness for the provided recommendations. Group recommendations are based in the individual satisfaction of each individual. The(in)satisfaction of users modifies the typical aggregation functions used to estimate the value of an item for the group. This paper proposes a memory of past recommendations to compute the satisfaction of users when similar items (movies, in this case) are recommended several times.
Spanish Ministry of Science & Education
Madrid Education Council
UCM
Sección Deptal. de Arquitectura de Computadores y Automática (Físicas)
Fac. de Ciencias Físicas
TRUE
pub
2023-06-20T05:44:53Z
2023-06-20T05:44:53Z
2011
book part
https://hdl.handle.net/20.500.14352/45403
XXXX-XXXX
eng
Lecture Notes in Artificial Intelligence
TIN2009-13692-C03-03
Group 910494
open access
application/pdf
Springer-Verlag Berlín