Name
Abstract | ||
|---|---|---|
•VM prediction model is devised by combining sponsored and promotional seeds’ outcome.•Attention features that get users attentive to the viral message are extracted.•FEM is developed to adaptively select the well-generalized prediction model. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.elerap.2019.100875 | Electronic Commerce Research and Applications |
Keywords | Field | DocType |
Weibo,Viral marketing,Seeding strategy,FEM | Adaptability,Viral marketing,Social network,Ensemble forecasting,Computer science,Robustness (computer science),Artificial intelligence,Predictive modelling,Machine learning,Marketing,Seeding,Offset (computer science) | Journal |
Volume | ISSN | Citations |
36 | 1567-4223 | 1 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shugang Li | 1 | 86 | 8.43 |
| Yuqi Zhang | 2 | 60 | 10.48 |
| Zhaoxu Yu | 3 | 121 | 8.80 |
| fangfang zhang | 4 | 77 | 15.29 |
| Hanyu Lu | 5 | 3 | 2.73 |