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
Contextual Bandit Applications in Customer Support Bot
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
Requirements for Open Political Information: Transparency Beyond Open Data
Andong Luis Li Zhao, Andrew Paley, Rachel Adler, Harper Pack, Sergio Servantez, Alexander Einarsson, Cameron Barrie, Marko Sterbentz, Kristian Hammond