On the exploitation of user personality in recommender systems
Entidad
UAM. Departamento de Ingeniería InformáticaEditor
Mouzhi Ge; Francesco RicciFecha de edición
2014Cita
DMRS 2014: Proceedings of the First International Workshop on Decision Making and Recommender Systems. Ed. Mouzhi Ge, Francesco Ricci. CEUR Workshop Proceedings, Volumen 1278, 2014. 42-45ISSN
1613-0073Financiado por
This work was supported by the Spanish Ministry of Science and Innovation (TIN2013-47090-C3-2).Versión del editor
http://ceur-ws.org/Vol-1278/Materias
Recommender systems; Collaborative filtering; Personality; InformáticaNota
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Proceedings of the First International Workshop on Decision Making and Recommender Systems (DMRS2014)
Derechos
© 2014 The author/sResumen
In this paper we revise the state of the art on personality-aware
recommender systems, identifying main research trends and achievements up to
date, and discussing open issues that may be addressed in the future.
Lista de ficheros
Google Scholar:Cantador Gutiérrez, Iván
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Fernández-Tobías, Ignacio
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