摘要
Taking the e-commerce website as an example and combing with tensor analysis theory, a novel evaluation model of customer satisfaction on the website is established in higher order space. Firstly, the model takes use of tensor analysis to expand the index system of customer satisfaction with a high-order tensor. Then the customer satisfaction evaluation model is given by means of high order subspace analysis based on non-negative Tucker decomposition. Finally, the model training process and testing results are given with the data in real applications. Experimental results show that the model has feasibility and performs well.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2017 8th International Conference on E-Business, Management and Economics, ICEME 2017 |
| 出版商 | Association for Computing Machinery |
| 页 | 6-10 |
| 页数 | 5 |
| ISBN（电子版） | 9781450353670 |
| DOI | |
| 出版状态 | 已出版 - 27 10月 2017 |
| 活动 | 8th International Conference on E-Business, Management and Economics, ICEME 2017 - Birmingham, 英国 期限: 27 10月 2017 → 29 10月 2017 |
出版系列
| 姓名 | ACM International Conference Proceeding Series |
|---|
会议
| 会议 | 8th International Conference on E-Business, Management and Economics, ICEME 2017 |
|---|---|
| 国家/地区 | 英国 |
| 市 | Birmingham |
| 时期 | 27/10/17 → 29/10/17 |
指纹
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Yi, W., Dong, P., & Wang, J. (2017). Customer satisfaction evaluation model of E-commerce website based on tensor analysis. 在 2017 8th International Conference on E-Business, Management and Economics, ICEME 2017 (页码 6-10). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3157754.3157766