An effective conversational agent with user modeling based on Bayesian network

Seung Ik Lee, Chul Sung, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationWeb Intelligence
Subtitle of host publicationResearch and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings
EditorsNing Zhong, Yiju Yao, Jiming Liu, Setsuo Ohsuga
PublisherSpringer Verlag
Pages428-432
Number of pages5
ISBN (Print)3540427309, 9783540427308
DOIs
Publication statusPublished - 2001
Event1st Asia-Pacific Conference on Web Intelligence, WI 2001 - Maebashi City, Japan
Duration: 2001 Oct 232001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2198
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st Asia-Pacific Conference on Web Intelligence, WI 2001
CountryJapan
CityMaebashi City
Period01/10/2301/10/26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, S. I., Sung, C., & Cho, S. B. (2001). An effective conversational agent with user modeling based on Bayesian network. In N. Zhong, Y. Yao, J. Liu, & S. Ohsuga (Eds.), Web Intelligence: Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings (pp. 428-432). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2198). Springer Verlag. https://doi.org/10.1007/3-540-45490-x_54