Customer Service
Customer service research focuses on improving efficiency and customer experience through technological advancements. Current efforts concentrate on developing and evaluating AI-powered solutions, such as chatbots utilizing architectures like BERT, LSTM, GPT, and reinforcement learning algorithms (DQN, DDQN), to automate tasks and enhance interactions. These models are being rigorously tested and refined using various metrics, including those assessing dialogue quality, emotion recognition, and task completion efficiency. The ultimate goal is to create more effective and personalized customer service systems, impacting both business operations and the customer journey.
Papers
September 20, 2024
September 14, 2024
August 8, 2024
August 7, 2024
July 29, 2024
July 20, 2024
July 19, 2024
July 17, 2024
July 8, 2024
July 1, 2024
June 17, 2024
June 7, 2024
June 3, 2024
May 1, 2024
April 29, 2024
April 24, 2024
April 5, 2024
April 1, 2024