A Quantized Analyzing Method for Finding a User´s Interested Web Pages Based on the User´s Browsing Actions and Query Words

Author

Zhu Zhengyu ; Zhou Zhi ; Yu Chunlei

Author_Institution

Coll. of Comput. Sci., Chongqing Univ., Chongqing, China

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

8

Lastpage

12

Abstract

How to capture a user´s interested Web pages (IWPs) is very important in a Web personalized service. In this paper, a method to capture a user´s IWPs by combining a quantized analysis of the user´s browsing actions and query words has been presented. To distinguish the differences among users and at different time of a user, a set of parameters have been introduced when calculating the contribution of browsing actions to the interest value on a Web page for a user. The parameters are adjusted periodically according to the current Web pages browsed by the user. The interest value is used to adjust if a Web page is interested by the user. Then, the method has been improved by introducing the analysis of the user´s query words in order to determine more precisely if a border interested page is really an interested one. The method has been implemented using the technologies of Hook and BHO. Experiments have been given to show its feasibility and validity.

Keywords

Web services; Web sites; query processing; BHO technology; Hook technology; Web personalized service; interested Web pages; quantized analyzing method; query words; user browsing actions; Collaboration; Computer science; Data mining; Educational institutions; Filtering; Information analysis; Information systems; Mice; Web and internet services; Web pages; Browsing action; Interested Web page (IWP); Personalized service; Self- adapting;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Information Systems and Mining, 2009. WISM 2009. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3817-4

Type

conf

DOI

10.1109/WISM.2009.10

Filename

5369507