Name
Abstract | ||
|---|---|---|
Call centers, in which human operators attend clients using textual chat, are very common in modern e-commerce. Training enough skilled operators who are able to provide good service is a challenge. We suggest an algorithm and a method to train and implement an assisting agent that provides on-line advice to operators while they attend clients. The agent is domain-independent and can be introduced to new domains without major efforts in design, training and organizing structured knowledge of the professional discipline. We demonstrate the applicability of the system in an experiment that realizes its full life-cycle on a specific domain and analyze its capabilities. |
Year | Venue | DocType |
|---|---|---|
2022 | International Joint Conference on Autonomous Agents and Multi-agent Systems | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aviram Aviv | 1 | 0 | 0.34 |
| Yaniv Oshrat | 2 | 0 | 1.01 |
| Samuel A. Assefa | 3 | 0 | 1.69 |
| Tobi Mustapha | 4 | 0 | 0.34 |
| daniel borrajo | 5 | 796 | 76.53 |
| Manuela Veloso | 6 | 8563 | 882.50 |
| Sarit Kraus | 7 | 6810 | 768.04 |