Discovering user interests from Web browsing behavior: an application to Internet news services

Author

Liang, Ting-Peng ; Lai, Hung-Jen

Author_Institution

Dept. of Inf. Manage., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan

fYear

2002

fDate

7-10 Jan. 2002

Firstpage

2718

Lastpage

2727

Abstract

Discovering user interests is a very important task for providing personalized services in electronic commerce. A popular approach is to develop customer profiles from their browsing behavior. In this paper, we present an approach that analyzes the browsing content and time to determine user interests. An empirical study using actual news provided by the China Times shows that the proposed system outperforms the traditional headline news compiled by the news editor in both objective performance indices and customer satisfaction.

Keywords

Internet; information retrieval; user modelling; China Times; Internet news services; browsing behavior; browsing content; browsing time; customer profiles; customer satisfaction; electronic commerce; objective performance indices; personalized services; user interests; Collaboration; Customer profiles; Customer satisfaction; Electronic commerce; Feedback; Information filtering; Information filters; Information management; Search engines; Web and internet services;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on

Print_ISBN

0-7695-1435-9

Type

conf

DOI

10.1109/HICSS.2002.994214

Filename

994214