Study on Wap Self-Adapt Based on Web Usage Mining

Author

Shixiong, Xia ; Guan, Yuan ; Lei, Zhang ; Zhiwen, Deng ; Jingyan, Xiao

Author_Institution

Dept. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Jiangsu

Volume

1

fYear

2008

fDate

3-4 Aug. 2008

Firstpage

605

Lastpage

609

Abstract

Smart terminal equipments, such as mobile phone, PDA etc., develop quickly at present. At the same time, there is huge information with various formats in the society, such as image, text, table etc. How to obtain information with WAP (Wireless Application Protocol) is an emergency problem nowadays. In allusion to this issue, a study on WAP self-adapt based on Web usage logs is proposed in the paper. Under the background of the application of data mining on the Web, the user interest algorithm and the WAP page rebuild algorithm with retrieval and mining of userpsilas usage logs data are put forward., user personalize data sharing in the WAP pages is implemented combining with the relevant user content interest algorithm.

Keywords

Internet; data mining; protocols; user modelling; WAP page rebuild algorithm; WAP self-adapt; Web usage logs; Web usage mining; Wireless Application Protocol; data mining; user content interest algorithm; user interest algorithm; user personalize data sharing; user usage logs data; Communication system control; Computer science; Data mining; Electrical capacitance tomography; Information retrieval; Mobile communication; Mobile handsets; Personal digital assistants; Web mining; Wireless application protocol; Wap self-adapt; Web Usage Mining; personalize; web log;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3290-5

Type

conf

DOI

10.1109/CCCM.2008.210

Filename

4609583