Title :
A fuzzy-rough set based ontology for hybrid recommendation
Author :
Hsun-Hui Huang ; Horng-Chang Yang ; Lu, Eric Hsueh-Chan
Author_Institution :
Dept. of Inf. Applic. & Manage., Tajen Univ., Taiwan
Abstract :
In the paper, a novel ontology-based recommendation model based on a fuzzy-rough hybrid mechanism is proposed. This model integrates the principles of both content-based and collaborative filtering recommender systems. The proposed model unified user profile/item characteristics profile representations in a concept level space. Hence not only the user preferences and the correlation between items, but also the information of other users with similar preferences can be used for more precise recommendation.
Keywords :
collaborative filtering; content management; fuzzy set theory; ontologies (artificial intelligence); recommender systems; rough set theory; collaborative filtering recommender system; content-based recommender system; fuzzy-rough set; item characteristics profile; ontology-based recommendation model; user profile; Approximation methods; Collaboration; Computational modeling; Inference mechanisms; Ontologies; Recommender systems; Semantics;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2015.7216942
