Title :
Modeling of Personalized Recommendation System Based on Ontology
Author :
Mu, Xiangwei ; Chen, Yan ; Li, Nan ; Jiang, Jingjing
Author_Institution :
Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
These models are designed to enable personalized recommendation to handle the semantic phenomenon. Based on ontology, the method of document feature extraction and user interest model were improved. Two personalized recommendation models were proposed for different scenes. Taking the Web pages about vehicle for example, results show that the model can do personalized recommendation effectively, and recommended results corresponded with the user´s real and original interest.
Keywords :
data mining; feature extraction; information filtering; ontologies (artificial intelligence); document feature extraction method; ontology based system; personalized recommendation modeling; semantic phenomenon; user interest model; vehicles Web page; Data mining; Educational institutions; Feature extraction; Formal languages; Layout; Ontologies; Pattern analysis; Transportation; Vehicles; Web pages;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5303344
