A study of using automatic text indexing to analyze Web browsing behavior

Author

Yu, Chenghsien ; Wu, Chungmin ; Huang, Chungyuan

Author_Institution

Dept. of Inf. Manage., Chung Kuo Inst. of Technol., Hsinchu, Taiwan

Volume

5

fYear

2004

Firstpage

3991

Abstract

In our study, we used the agent technique to record the users browsing behavior on the WWW, and dissect the unique user by browser cookie. In order to analyze the users browsing behavior, we used the automatic text indexing to find out the key-click of user browsing behavior. In the reporting system, we integrated the OLAP (On-Line Analytical Processing) technique, pivot table, and statistic chart to present the user status of the Web site. A field experiment was conducted in this study. The subject was an Internet bookstore. Finally, we constructed the prototype system to prove the feasibility of this study.

Keywords

Internet; Web sites; data mining; human computer interaction; indexing; information retrieval; online front-ends; software agents; Internet bookstore; OLAP; WWW; Web browsing behavior; Web site; World Wide Web; agent technique; automatic text indexing; browser cookie; online analytical processing technique; pivot table; prototype system; statistic chart; users browsing behavior; Automation; Business; Computer science; Engineering management; Indexing; Information analysis; Information management; Internet; Technology management; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1342248

Filename

1342248