RT Book, Section
T1 User satisfaction in long term group recommendations
A1 Quijano Sánchez, Lara
A1 Recio García, Juan Antonio
A1 Díaz Agudo, María Belén
AB 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.
PB Springer-Verlag Berlín
SN 978-3-642-23290-9
YR 2011
FD 2011
LK https://hdl.handle.net/20.500.14352/45403
UL https://hdl.handle.net/20.500.14352/45403
LA eng
NO © 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 (Group910494).
NO Spanish Ministry of Science & Education
NO Madrid Education Council
NO UCM
DS Docta Complutense
RD 12 abr 2025