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

fYear

2009

fDate

15-16 May 2009

Firstpage

484

Lastpage

487

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Ubiquitous Computing and Education, 2009 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3619-4

Type

conf

DOI

10.1109/IUCE.2009.128

Filename

5223061