A multilayer ontology-based hybrid recommendation model

Issue title: Recommender Systems

Article type: Research Article

Authors: Cantador, Iván | Bellogín, Alejandro | Castells, Pablo

Affiliations: Escuela Politécnica Superior, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049, Madrid, Spain. E-mails: {ivan.cantador, alejandro.bellogin, pablo.castells}@uam.es

Abstract: We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies. The concept, item and user spaces are clustered in a coordinated way, and the resulting clusters are used to find similarities among individuals at multiple semantic layers. Such layers correspond to implicit Communities of Interest and enable enhanced recommendations.

Keywords: Hybrid recommender systems, communities of interest, ontologies, user profiling

DOI: 10.3233/AIC-2008-0437

Journal: AI Communications, vol. 21, no. 2-3, pp. 203-210, 2008