Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10323375 | Expert Systems with Applications | 2005 | 11 Pages |
Abstract
This paper suggests a methodology for detecting a user's time-variant pattern in order to improve the performance of collaborative filtering recommendations. The methodology consists of three phases of profiling, detecting changes, and recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sung-Hwan Min, Ingoo Han,