DocumentCode
2135291
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
fYear
2009
fDate
20-22 Sept. 2009
Firstpage
1
Lastpage
3
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMSS.2009.5303344
Filename
5303344
Link To Document