Conversation Strategy of a Chatbot for Interactive Recommendations

  • Yuichiro IkemotoEmail author
  • Varit Asawavetvutt
  • Kazuhiro Kuwabara
  • Hung-Hsuan Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10751)


This paper presents a conversation strategy for interactive recommendations using a chatbot. Chatbots are attracting attention to provide a flexible user interface using natural language for various domains. For a given task, what kind of questions to ask and/or what information should be provided and how to process user responses play a crucial role in developing an effective chatbot. In this paper, we focus on a task of recommending an item that suits a user’s preference and propose a conversation strategy where a chatbot combines questions about user’s preference and recommendations soliciting user’s feedback to them. The balance between questions and recommendations is controlled by changing the parameter values. We target a chatbot that uses a graphical user interface (GUI) and apply approaches proposed in the field of recommendation systems. Preliminary experiment results with a prototype indicate the potential of our proposed approach.


Chatbot Conversation strategy Interactive recommendation 



This work was partially supported by JSPS KAKENHI Grant Number 15K00324.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Yuichiro Ikemoto
    • 1
    Email author
  • Varit Asawavetvutt
    • 1
  • Kazuhiro Kuwabara
    • 2
  • Hung-Hsuan Huang
    • 2
  1. 1.Graduate School of Information Science and EngineeringRitsumeikan UniversityKusatsuJapan
  2. 2.College of Information Science and EngineeringRitsumeikan UniversityKusatsuJapan

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