@inproceedings{1f1bd995998f4385bcd64e365efeeee8,
title = "Design of an adaptive web merchandising system using data mining",
abstract = "In this paper, an intelligent system for making Web merchandising plans and improving Web merchandising effectiveness is proposed for online retailers to succeed in gaining competitive advantage in highly competitive environment. The system utilizes data mining techniques and focuses on generating Web merchandising rules that are used to estimate customer{\textquoteright}s demand and to plan merchandise for it. Additionally it concentrates on monitoring effectiveness of the merchandising rules over time, and refining the static merchandising rules or generating new rules for products.",
author = "Ha, {Sung Ho}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003 ; Conference date: 28-10-2003 Through 31-10-2003",
year = "2003",
doi = "10.1007/978-3-540-39592-8_80",
language = "English",
isbn = "3540202560",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "572--576",
editor = "Ning Zhong and Ras, {Zbigniew W.} and Shusaku Tsumoto and Einoshin Suzuki",
booktitle = "Foundations of Intelligent Systems - 14th International Symposium, ISMIS 2003, Proceedings",
address = "Germany",
}