Name
Title | ||
|---|---|---|
TT-SVD: an Efficient Sparse Decision Making Model with Two-way Trust Recommendation in the AI Enabled IoT Systems |
Abstract | ||
|---|---|---|
The convergence of AI and IoT enables data to be quickly explored and turned into vital decisions, and however, there are still some challenging issues to be further addressed. For example, lacking of enough data in AI-based decision making [so-called sparse decision making (SDM)] will decrease the efficiency dramatically, or even disable the intelligent IoT networks. Taking the intelligent IoT ne... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2020.3006066 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Decision making,Matrix decomposition,Data models,Internet of Things,Task analysis,Machine learning,Predictive models | Journal | 8 |
Issue | ISSN | Citations |
12 | 2327-4662 | 2 |
PageRank | References | Authors |
0.35 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangquan Xu | 1 | 171 | 33.20 |
| Yuyang Zhao | 2 | 2 | 0.35 |
| Litao Jiao | 3 | 10 | 1.81 |
| Meiqi Feng | 4 | 3 | 1.04 |
| Zhong Ji | 5 | 93 | 8.95 |
| Emmanouil A. Panaousis | 6 | 101 | 14.94 |
| Si Chen | 7 | 109 | 6.95 |
| Xi Zheng | 8 | 154 | 24.34 |