DocumentCode
1726502
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
fYear
2015
Firstpage
358
Lastpage
359
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ICCE-TW.2015.7216942
Filename
7216942
Link To Document