Article ID Journal Published Year Pages File Type
10323397 Expert Systems with Applications 2005 11 Pages PDF
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
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