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IDEAL
2004
Springer

User Adaptive Answers Generation for Conversational Agent Using Genetic Programming

9 years 7 months ago
User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
Recently, it seems to be interested in the conversational agent as an effective and familiar information provider. Most of conversational agents reply to user’s queries based on static answers constructed in advance. Therefore, it cannot respond with flexible answers adjusted to the user, and the stiffness shrinks the usability of conversational agents. In this paper, we propose a method using genetic programming to generate answers adaptive to users. In order to construct answers, Korean grammar structures are defined by BNF (Backus Naur Form), and it generates various grammar structures utilizing genetic programming (GP). We have applied the proposed method to the agent introducing a fashion web site, and certified that it responds more flexibly to user’s queries.
Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where IDEAL
Authors Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho
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