Estimating customer preference through store check-in histories and its use in visitor promotion

Chiaki Doi, Masaji Katagiri, Akira Ishii, Teppei Konishi, Takashi Araki, Ken Ohta, Daizo Ikeda, Hiroshi Inamura, Hiroshi Shigeno

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes a method to estimate the preference of customers based on store check-in histories. The proposed method can distinguish the preferences of customers who have no purchase histories. We adopt a machine learning algorithm for model acquisition. The estimation results can improve the efficiency of visitor promotion campaigns and advertising campaigns. An actual visitor promotion trial indicates the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトル2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
2018-January
ISBN(電子版)9784907626310
DOI
出版ステータスPublished - 2018 4 2
イベント10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 - Toyama, Japan
継続期間: 2017 10 32017 10 5

Other

Other10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
CountryJapan
CityToyama
Period17/10/317/10/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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