User interest modeling based on browsing behavior

Based on the combination of five user minimum browsing behaviors, this paper focuses on a comprehensive analysis of the quantitative relations between the user browsing time and the user interest rate, and proposed a new method of calculating degree of thematic interest, this method is based on asso...

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Bibliographic Details
Published in2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) Vol. 5; pp. V5-455 - V5-458
Main Authors Ling Zheng, Shuo Cui, Dong Yue, Xinyu Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Electronic mail
personalized service
the smallest combination of browsing behavior
user interest model
user interest rate
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ISBN1424465397
9781424465392
ISSN2154-7491
DOI10.1109/ICACTE.2010.5579511

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Summary:Based on the combination of five user minimum browsing behaviors, this paper focuses on a comprehensive analysis of the quantitative relations between the user browsing time and the user interest rate, and proposed a new method of calculating degree of thematic interest, this method is based on association rule. Obtain user's interest by fuzzy clustering algorithm, and establish user interest model. The experiments confirm that the method of calculating user interest rate is reasonable and effective, the user interest model responses user interest exactly, and have been effectively used in personalized service.
ISBN:1424465397
9781424465392
ISSN:2154-7491
DOI:10.1109/ICACTE.2010.5579511