Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10367524 | Decision Support Systems | 2012 | 12 Pages |
Abstract
⺠We address the single-class learning challenge that prevails in B-to-C e-commerce. ⺠We develop the COLPEL technique for online product recommendations. ⺠We evaluate the COLPEL technique with top reviewers' book ratings at Amazon.com. ⺠COLPEL outperforms all the benchmark techniques in terms of prediction accuracy and average F1 score. ⺠COLPEL benefits from cost-sensitive learning and the committee machine strategy.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Yen-Hsien Lee, Paul Jen-Hwa Hu, Tsang-Hsiang Cheng, Ya-Fang Hsieh,