Title :
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
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;
Conference_Titel :
System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on
Print_ISBN :
0-7695-1435-9
DOI :
10.1109/HICSS.2002.994214
