Focused domain contextual AI chatbot framework for resource poor languages
In today’s business world, providing reliable customer service is equally important as delivering better products for maintaining a sustainable business model. As providing customer service requires human resource and money, businesses are often shifting towards artificial intelligence system for ne...
Main Authors: | Anirudha Paul, Asiful Haque Latif, Foysal Amin Adnan, Rashedur M Rahman |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-04-01
|
Series: | Journal of Information and Telecommunication |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24751839.2018.1558378 |
Similar Items
-
The Moderating Role of Perceived Risk Between AI Chatbots, Purchase Intentions and Customer Loyalty in Customer Service
by: Yu, Jiaming
Published: (2021) -
The Effect of Social Presence and Chatbot Errors on Trust
by: Diana-Cezara Toader, et al.
Published: (2019-12-01) -
Knowledge-Grounded Chatbot Based on Dual Wasserstein Generative Adversarial Networks with Effective Attention Mechanisms
by: Sihyung Kim, et al.
Published: (2020-05-01) -
Multi-Sensor Context-Aware Based Chatbot Model: An Application of Humanoid Companion Robot
by: Ping-Huan Kuo, et al.
Published: (2021-07-01) -
Chatbots applications in education: A systematic review
by: Chinedu Wilfred Okonkwo, et al.
Published: (2021-01-01)