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 :
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