Name
Abstract | ||
|---|---|---|
Business and technical support has traditionally been labor based. In this paper, we introduce a cognitive system for business and technical support. This cognitive system is aimed at answering, for example, “how to” and “how do I fix” questions that represent more than half of support help-desk queries. The standard method to build cognitive systems involves collecting the user questions, collect... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1147/JRD.2016.2631398 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Knowledge engineering,Proposals,Training,Business,Information technology | Data science,Graph,Business case,User expectations,Domain knowledge,Cognitive systems,Computer science,Real-time computing,Ground truth,Technical support,Ambiguity,Process management | Journal |
Volume | Issue | ISSN |
61 | 1 | 0018-8646 |
Citations | PageRank | References |
3 | 0.50 | 8 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pankaj Dhoolia | 1 | 118 | 11.80 |
| P. Chugh | 2 | 3 | 0.50 |
| P. Costa | 3 | 3 | 0.50 |
| Neelamadhav Gantayat | 4 | 11 | 6.16 |
| Monika Gupta | 5 | 26 | 3.41 |
| N. Kambhatla | 6 | 3 | 0.50 |
| Ravi Kumar | 7 | 21 | 4.89 |
| Senthil Mani | 8 | 247 | 24.05 |
| Prasenjit Mitra | 9 | 2439 | 167.89 |
| C. Rogerson | 10 | 3 | 0.50 |
| M. Saxena | 11 | 3 | 0.50 |