DocumentCode
3249277
Title
A method of constructing user interest model based on semantics
Author
Qinghong, Yang ; Neng, Xiong ; Hao, Hu
Author_Institution
Coll. of Comput. & Inf. Eng., Jiangxi Normal Univ., Nanchang, China
fYear
2012
fDate
14-17 July 2012
Firstpage
59
Lastpage
63
Abstract
In this paper, the representation method of user interest model is a combination of vector space model with Ontology. It introduces the algorithm of semantic similarity when calculating the term weight, and considers the semantic similarity of words, and then the term weight is updated through the Bayesian network. This paper focuses on the steps of building and updating the user interest model, and verified the validity of the model by experiment.
Keywords
belief networks; ontologies (artificial intelligence); Bayesian network; constructing user interest model; ontology; vector space model; Bayesian methods; Computational modeling; Computers; Educational institutions; Ontologies; Semantics; Vectors; Bayesian network; Ontology; semantics; user interest model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295026
Filename
6295026
Link To Document