Name
Abstract | ||
|---|---|---|
With the rapid growth of B2B (Business-to-Business), how to efficiently respond to various customer questions is becoming an important issue. In this scenario, customer questions always involve many aspects of the products, so there are usually multiple customer service agents to response respectively. To improve efficiency, we propose a human-machine cooperation solution called ServiceGroup, where relevant agents and customers are invited into the same group, and the system can provide a series of intelligent functions, including question notification, question recommendation and knowledge extraction. With the assistance of our developed ServiceGroup, the response rate within 15 minutes is improved twice. Until now, our ServiceGroup has already supported thousands of enterprises by means of millions of groups in instant messaging softwares.
|
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3397271.3401414 | SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval
Virtual Event
China
July, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-8016-4 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minghui Yang | 1 | 0 | 0.68 |
| Hengbin Cui | 2 | 0 | 0.68 |
| Shaosheng Cao | 3 | 249 | 8.95 |
| Yafang Wang | 4 | 134 | 13.56 |
| Xiaolong Li | 5 | 362 | 36.92 |