Dialog-based interactive movie recommendation: Comparison of dialog strategies

Hayato Mori, Yuya Chiba, Takashi Nose, Akinori Ito

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

1 Citation (Scopus)

Abstract

The user interface based on natural language dialog has been gathering attention. In this paper, we focus on the dialog-based user interface of movie recommendation system. We compared two kinds of dialog systems: the system-initiative system presented all the information about the recommended item at a time, and the user-initiative system provided information of the recommended item based on a dialog between the system and the user. As a result of dialog experiment, the users preferred to the user-initiative system for availability of obtaining required information, while the system-initiative system was chosen for the simplicity of obtaining the information. In addition, it was found that the appropriateness of the system’s replies in the dialog affected the user’s preference to the user-initiative system.

Original languageEnglish
Title of host publicationAdvances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing,
EditorsJunzo Watada, Lakhmi C. Jain, Jeng-Shyang Pan, Pei-Wei Tsai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages77-83
Number of pages7
ISBN (Print)9783319638584
DOIs
Publication statusPublished - 2018
Event13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017 - Matsue, Shimane, Japan
Duration: 2017 Aug 122017 Aug 15

Publication series

NameSmart Innovation, Systems and Technologies
Volume82
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017
CountryJapan
CityMatsue, Shimane
Period17/8/1217/8/15

Keywords

  • Dialog
  • Movie database
  • Recommendation system

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Dialog-based interactive movie recommendation: Comparison of dialog strategies'. Together they form a unique fingerprint.

Cite this