An Effective Conversational Agent with User Modeling Based on Bayesian Network

Abstract. Conversational agents interact with users using natural language interface. Especially in Internet space, their role has been recently highlighted as a virtual representative of a web site. However, most of them use simple pattern matching techniques without considering user’s goal. In this paper, we propose a conversational agent that utilizes user model constructed on Bayesian network for the responses consistent with user’s goal. The agent is applied to the active guide of a website, which shows that the user modeling based on Bayesian network helps to respond to user’s queries appropriately with the their goals.

• Type: Conference
• Year: 2001
• Where: WEBI
• Authors: Seung-Ik Lee, Chul Sung, Sung-Bae Cho
• Keywords: Bayesian Network, Conversational Agent, Internet Technology, User’s Goal, WEBI 2001