@inproceedings{3ba4af833ce14725bd14fcc3b0bf37d7,
title = "Estimating customer preference through store check-in histories and its use in visitor promotion",
abstract = "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.",
keywords = "Check-in History, Customer preference, Promotion, Purchase History",
author = "Chiaki Doi and Masaji Katagiri and Akira Ishii and Teppei Konishi and Takashi Araki and Ken Ohta and Daizo Ikeda and Hiroshi Inamura and Hiroshi Shigeno",
note = "Publisher Copyright: {\textcopyright} 2017 IPSJ. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 ; Conference date: 03-10-2017 Through 05-10-2017",
year = "2018",
month = apr,
day = "2",
doi = "10.23919/ICMU.2017.8330107",
language = "English",
series = "2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017",
}