Web mining application in university library personalized search engine

Author

Zhao Jing

Author_Institution

Dept. of Manage., Shanghai Int. Studies Univ., Shanghai, China

fYear

2011

fDate

14-16 Oct. 2011

Firstpage

123

Lastpage

128

Abstract

The article examines web mining application in university library search engine. It primarily researches the technology that is personal usage records track in web usage mining. It also discusses how to establish a university library personalized search engine system. The system studies user identification, user profile, user´s interest model and user interest extraction. The article explains various processing modules of university library personalized search engine system. It designs university library personalized search engine system. It finally verifies that web mining has effect on searching web page ranking in university library.

Keywords

Internet; data mining; search engines; Web page ranking; Web usage mining; personal usage records; processing modules; university library personalized search engine system; user identification; user interest extraction; user interest model; user profile; Educational institutions; Libraries; Search engines; Vocabulary; Web mining; Web pages; search engine; university library; user´s interest model; web mining; web usage mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of

Conference_Location

Dalian

Print_ISBN

978-1-4577-1195-4

Type

conf

DOI

10.1109/SoCPaR.2011.6089126

Filename

6089126