News Navigation System Based on Proactive Dialogue Strategy

This paper addresses the concept of information navigation and the system that navigates news articles updated day by day. In the information navigation, the system has a back-end knowledge base and users can access information through a natural interaction. It is composed of several modules that interact with users in different manners. Both the system and the user can take an initiative of dialogue depending on the specification of the user interest. The system allows ambiguous user queries and proactively presents information related to the user interest by tracking the user focus. An experimental result shows that the proposed system based on partially observable Markov decision process and user focus tracking can interact with users effectively by selecting the most appropriate dialogue modules.

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