Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10323397 | Expert Systems with Applications | 2005 | 11 Pages |
Abstract
In this study, we propose a new methodology for enhancing the quality of CF recommendation that uses customer purchase sequences. The proposed methodology is applied to a large department store in Korea and compared to existing CF techniques. Various experiments using real-world data demonstrate that the proposed methodology provides higher quality recommendations than do typical CF techniques, with better performance, especially with regard to heavy users.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yeong Bin Cho, Yoon Ho Cho, Soung Hie Kim,