Title :
A Personalized Model for Ontology-driven User Profiles Mining
Author :
Wei, Cuncun ; Huang, Chongben ; Tan, Hengsong
Author_Institution :
Inf. Eng. Sch., Zhejiang Bus. Technol. Inst., Ningbo, China
Abstract :
User modeling is a key technology in implementing personalized services. This paper tried to solve disadvantage of lack of semantic information of keyword, and designed a user profiles modeling method based on the category knowledge base, combining the keywords and the ontology concepts. In the model the user profiles consist of short-term interest and long-term interest, and two different mechanisms of establishing and updating were adopted for these two kinds of interest. At last, the effectiveness of the method is verified through the experiment. It shows that this model can accurately reflect the characteristics of the userpsilas interest and improve the efficiency of information retrieval.
Keywords :
data mining; information retrieval; ontologies (artificial intelligence); user modelling; category knowledge base; information retrieval; ontology concepts; ontology-driven user profiles mining; personalized model; personalized services; user modeling; Educational technology; Feedback; Frequency; History; Information retrieval; Navigation; Ontologies; Printing; Ubiquitous computing; Web and internet services; Interest navigation; Long-term interest; Ontology; Personalization; Semantic concepts; Short-term interest; User profiles model;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.128
