DocumentCode
1902807
Title
The Quantitative Model of User Interests Based on Web Log
Author
Qiu, Yongquan ; Lin, Guoyuan
Author_Institution
Sch. of Comput. Sci. & Technol., CUMT, Xuzhou, China
Volume
3
fYear
2012
fDate
23-25 March 2012
Firstpage
723
Lastpage
725
Abstract
Based on user interests, the personalized service has become a popular research in academic and commercial applications. This paper analyzes the user interests in the domestic and foreign research situation. It come up with a way to obtain the User Interests data in Web log mining. What´s more, in order to solve the dynamic updating user interests. This paper proposes a new quantitative model of user interests.
Keywords
Internet; data mining; information retrieval; Web log mining; academic application; commercial application; domestic research situation; foreign research situation; personalized service; quantitative model; user interest; Analytical models; Computational modeling; Computer science; Computers; Educational institutions; Web mining; Quantitative model; Web log mining; individuation; user interests;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.433
Filename
6188207
Link To Document