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A Method for Supporting Customer Model Construction: Using a Topic Model for Public Service Design

  • Satoshi MizoguchiEmail author
  • Takatoshi Ishii
  • Yutaro Nemoto
  • Maiko Kaneda
  • Atsuko Bando
  • Toshiyuki Nakamura
  • Yoshiki Shimomura
Conference paper

Abstract

For the design of public services, it is important to clarify service customers. For this purpose, various methods of customer modeling were proposed. Before constructing customer models, it is required to group customers and to characterize each customer group. However, the customer grouping based on some statistical barometers (e.g. age, sex, and job categories) may not reflect actual customer requirements for the service. This paper aims to propose a method for supporting customer grouping and characterizing without such statistical barometers. Finally, the proposed method is applied to an urban development case to demonstrate the effectiveness.

Keywords

Public service design User modeling Natural language processing Latent Dirichlet allocation 

Notes

Acknowledgment

This research is supported by JSPS KAKENHI Grant Number 26280114, Research Institute of Science and Technology for Society (RISTEX) and We Love Tenjin Council.

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Copyright information

© Springer Japan 2017

Authors and Affiliations

  • Satoshi Mizoguchi
    • 1
    Email author
  • Takatoshi Ishii
    • 1
  • Yutaro Nemoto
    • 1
  • Maiko Kaneda
    • 2
  • Atsuko Bando
    • 2
  • Toshiyuki Nakamura
    • 2
  • Yoshiki Shimomura
    • 1
  1. 1.Department of System DesignTokyo Metropolitan UniversityTokyoJapan
  2. 2.Design Division, Hitachi Ltd.TokyoJapan

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