LS Chen, FH Hsu, MC Chen, YC Hsu - Information sciences, 2008 - Elsevier
In electronic commerce web sites, recommender systems are popularly being employed to help customers in selecting suitable products to meet their personal needs. These systems …
M Gao, K Liu, Z Wu - Information Systems Frontiers, 2010 - Springer
Recently, personalised search engines and recommendation systems have been widely adopted by users who require assistance in searching, classifying, and filtering information …
YF Wang, YL Chuang, MH Hsu, HC Keh - Expert Systems with Applications, 2004 - Elsevier
In order to have an effective command of the relationship between customers and products, we have constructed a personalized recommender system which incorporates content …
Q Zhang, RS Segall - … Journal of Information Technology & Decision …, 2008 - World Scientific
The purpose of this paper is to provide a more current evaluation and update of web mining research and techniques available. Current advances in each of the three different types of …
TH Chen, CW Chen - Expert Systems with Applications, 2010 - Elsevier
The loss given a default (LGD) is a key component when calculating the credit risk associated with an asset portfolio. However, the issue of default probability has not often …
L Niu, XW Yan, CQ Zhang… - … Conference on Machine …, 2002 - ieeexplore.ieee.org
Personalized service is becoming a key strategy in electronic commerce. Traditional personalization techniques such as collaborative filtering and rule-based method have …
X Zhang, X Ming, Z Liu, M Zheng… - Advances in Mechanical …, 2019 - journals.sagepub.com
With the continuous improvement of living standards, customers are gradually pursuing products which are individualization, entertainment, and scene. The production model of the …
MC Chen, LS Chen, FH Hsu, Y Hsu… - 2007 IEEE International …, 2007 - ieeexplore.ieee.org
In electronic commerce, recommender systems are popularly being used to help enterprises for satisfying customers' individually diverse preferences. These systems learn about user …