Name
Title | ||
|---|---|---|
Recommendation Model Based on Dynamic Interest Group Identification and Data Compensation |
Abstract | ||
|---|---|---|
With the increasing network service content, innovative methods are required for developing optimized network service for e-commerce companies. Accordingly, this study focuses on designing a framework containing personalization, interest group identification, and recommendation mechanisms. The primary contribution of this paper is to propose a recommendation model based on data compensation and dy... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TNSM.2021.3112702 | IEEE Transactions on Network and Service Management |
Keywords | DocType | Volume |
Tensors,Data models,Predictive models,Generative adversarial networks,Complexity theory,Windows,Heuristic algorithms | Journal | 19 |
Issue | ISSN | Citations |
1 | 1932-4537 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingyu Lu | 1 | 0 | 0.34 |
| Jun Liu | 2 | 51 | 22.99 |
| Shengli Gan | 3 | 0 | 0.34 |
| Tun Li | 4 | 2 | 1.10 |
| Yunpeng Xiao | 5 | 33 | 10.88 |
| Yanbing Liu | 6 | 19 | 12.33 |