A fuzzy-rough set based ontology for hybrid recommendation

Autor:	Eric Hsueh-Chan Lu, Horng-Chang Yang, Hsun-Hui Huang
Rok vydání:	2015
Předmět:	User profile Information retrieval Computer science Ontology Collaborative filtering Data mining Recommender system Ontology (information science) Space (commercial competition) Fuzzy rough sets Semantics computer.software_genre computer
Zdroj:	ICCE-TW
DOI:	10.1109/icce-tw.2015.7216942
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1bc69808f9097d293ef3cef78e48fe75 https://doi.org/10.1109/icce-tw.2015.7216942 Zobrazit plný text záznamu