Name
Abstract | ||
|---|---|---|
Customer service is transforming from traditional manual service toward automated service, which utilizes different computational informatics to achieve a higher efficient and quality services. Automated customer service requires big data and expertise in data analysis as prerequisites. However, many companies, especially small and medium enterprises, do not have sufficient data and experience due... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TII.2019.2900987 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Customer services,Blockchain,Companies,Machine learning,Personnel,Data models,Smart contracts | Informatics,Data modeling,Small and medium-sized enterprises,Competence (human resources),Customer service,Software engineering,Computer science,Real-time computing,Blockchain,Big data,Scalability | Journal |
Volume | Issue | ISSN |
15 | 6 | 1551-3203 |
Citations | PageRank | References |
3 | 0.39 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Li | 1 | 3 | 0.39 |
| Hanyang Guo | 2 | 10 | 2.51 |
| W. M. Wang | 3 | 100 | 9.65 |
| Yijiang Guan | 4 | 3 | 0.39 |
| Ali Vatankhah Barenji | 5 | 25 | 6.69 |
| George Q. Huang | 6 | 876 | 103.99 |
| Kevin Stanley McFall | 7 | 35 | 3.25 |
| Xin Chen | 8 | 3 | 1.06 |