Using model-based reasoning for enhanced chatbot communication

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Abstract

Chatbots as conversational recommender have gained increasing importance for research and practice with a lot of applications available today. In this paper, we present the methods to support conversational defaults within a human-chatbot conversation that simplifies communication with the purpose of improving the overall recommendation process. In particular, we discuss our model-based reasoning approach for easing user experience during a chat, e.g., in cases where user preferences are mentioned indirectly causing inconsistencies. As a consequence of inconsistencies, it would not be possible for the chatbot to provide answers and recommendations. The presented approach allows for removing inconsistencies during the interactions with the chatbot. Besides the basic foundations, we provide use cases from the intended tourism domain to show the simplification of the conversation process. In particular, we consider recommendations for booking hotels and planning trips.

Original languageEnglish
Title of host publicationAdvances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings
EditorsFranz Wotawa, Ingo Pill, Roxane Koitz-Hristov, Gerhard Friedrich, Moonis Ali
PublisherSpringer Verlag
Pages791-798
Number of pages8
ISBN (Print)9783030229986
DOIs
Publication statusPublished - 1 Jan 2019
Event32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - Graz, Austria
Duration: 9 Jul 201911 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11606 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
Abbreviated titleIEA/AIE 2019
CountryAustria
CityGraz
Period9/07/1911/07/19

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Keywords

  • Chatbot
  • Conversational recommender
  • Model-based reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Tazl, O. A., & Wotawa, F. (2019). Using model-based reasoning for enhanced chatbot communication. In F. Wotawa, I. Pill, R. Koitz-Hristov, G. Friedrich, & M. Ali (Eds.), Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings (pp. 791-798). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11606 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-22999-3_67