Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system

Chiaki Doi, Masaji Katagiri, Takashi Araki, Daizo Ikeda, Hiroshi Shigeno

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes a method that predicts customer value by focusing on purchasing behavior. The method generates a relevance model for purchase days and amount in each period between customer value and purchasing histories beforehand based on a consumer panel survey. The authors adopt the random forest method to generate the prediction model. The proposed method facilitates the provisioning of smart customer management to each customer according to level such as suggesting products or services.

本文言語English
ホスト出版物のタイトルProceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
編集者Leonard Barolli, Tomoya Enokido, Marek R. Ogiela, Lidia Ogiela, Nadeem Javaid, Makoto Takizawa
出版社Institute of Electrical and Electronics Engineers Inc.
ページ320-326
ページ数7
2018-May
ISBN(印刷版)9781538621943
DOI
出版ステータスPublished - 2018 8 9
イベント32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 - Krakow, Poland
継続期間: 2018 5 162018 5 18

Other

Other32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
CountryPoland
CityKrakow
Period18/5/1618/5/18

ASJC Scopus subject areas

  • Engineering(all)

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