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 |
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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 |
巻 | 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 16 → 2018 5 18 |
Other
Other | 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 |
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Country | Poland |
City | Krakow |
Period | 18/5/16 → 18/5/18 |
ASJC Scopus subject areas
- Engineering(all)