Carregant...
Fitxers
Tipus de document
ArticleVersió
Versió acceptadaData de publicació
Tots els drets reservats
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/218417
MOREGIN: Multi-Objective Recommendation at the Global and Individual Levels
Títol de la revista
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
Multi-Objective Recommender Systems (MORSs) emerged as a paradigm to guarantee multiple (often conflicting) goals. Besides accuracy, a MORS can operate at the global level, where additional beyond-accuracy goals are met for the system as a whole, or at the individual level, meaning that the recommendations are tailored to the needs of each user. The state-of-the-art MORSs either operate at the global or individual level, without assuming the co-existence of the two perspectives. In this study, we show that when global and individual objectives co-exist, MORSs are not able to meet both types of goals. To overcome this issue, we present an approach that regulates the recommendation lists so as to guarantee both global and individual perspectives, while preserving its effectiveness. Specifically, as individual perspective, we tackle genre calibration and, as global perspective, provider fairness. We validate our approach on two real-world datasets, publicly released with this paper (https://tinyurl.com/yc6nnx5v).
Matèries (anglès)
Citació
Citació
GÓMEZ, Elizabeth, CONTRERAS, David, BORATTO, Ludovico, SALAMÓ LLORENTE, Maria. MOREGIN: Multi-Objective Recommendation at the Global and Individual Levels. _Lecture Notes in Computer Science_. 2024. Vol. 14608, núm. 21-38. [consulta: 24 de gener de 2026]. ISSN: 0302-9743. [Disponible a: https://hdl.handle.net/2445/218417]