Document Type
Article
Abstract
With the explosion and the rapidly growing market of the Internet, it is imperative that managers re-think to using technology, especially internet, to deliver services faster, cheaper, and with better quality than their competitors do. The web site provides a communication way that reveals real-time assess data and fruitful information of customers. Therefore, the call for customer with personalized web pages has become loud. To achieve personalized web pages, this study proposes recommendation algorithm of user behavior oriented by using the web log files from National Museum of History.
Recommended Citation
Liu, Jonen and Fang, Kwoting, "User-Based Web Recommendation System: A Case Study of the National Museum of History" (2002). ICEB 2002 Proceedings (Taipei, Taiwan). 113.
https://aisel.aisnet.org/iceb2002/113