E Feiyu
Biographic Data
| ID | 6506598 |
|---|---|
| NAME | E Feiyu |
| GIVEN NAMES | E |
| FAMILY NAME | Feiyu |
| SIGNATURE | FEIYU E |
| AFFILIATIONS | University of Maryland, College Park |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Feature engineering from the perspective of agenda setting for predicting the success of online petitions
Defining online to offline (O2O)
Purpose A new business model online to offline (O2O) has emerged in recent years. Similar to many new models at an early stage, O2O has inconsistent definitions which not only inhibit its adoption but also poorly differentiate O2O from other existing business models. To resolve the two issues, the authors propose an approach of definition development. Design/methodology/approach To show the usefulness of the approach, the authors demonstrate the …
No prominent works on this page.
Defining online to offline (O2O)
Purpose A new business model online to offline (O2O) has emerged in recent years. Similar to many new models at an early stage, O2O has inconsistent definitions which not only inhibit its adoption but also poorly differentiate O2O from other existing business models. To resolve the two issues, the authors propose an approach of definition development. Design/methodology/approach To show the usefulness of the approach, the authors demonstrate the …
Feature engineering from the perspective of agenda setting for predicting the success of online petitions
Artificial Intelligence (2 works) · Computer Science (2 works) · Data science (2 works) · Perspective (graphical (2 works) · Benchmark (surveying (1 works) · Consumer Market Behavior and Pricing (1 works) · Consumer Retail Behavior Studies (1 works) · Deep learning (1 works) · Democracy (1 works) · Digital Platforms and Economics (1 works)