Dilated Convolution for Time Series Learning
Wang Zhang, Subhro Das, et al.
ICASSP 2025
A fully Internet-connected business environment is subject to frequent changes. To ordinary customers, online shopping under such a dynamic environment can be frustrating. We propose a new E-commerce service called the CIGMA to assist online customers under such an environment. The CIGMA provides catalog comparison and purchase mediation services over multiple shopping sites for ordinary online customers. The service is based on up-to-date information by reflecting the frequent changes in catalog information instantaneously. It also matches the desire of online customers for fast response. This paper describes the CIGMA along with its architecture and the implementation of a working prototype. Copyright © 2005 The Institute of Electronics, Information and Communication Engineers.
Wang Zhang, Subhro Das, et al.
ICASSP 2025
Seung Gu Kang, Jeff Weber, et al.
ACS Fall 2023
Miao Guo, Yong Tao Pei, et al.
WCITS 2011
Shai Fine, Yishay Mansour
Machine Learning