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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018
EditorsLeonard Barolli, Tomoya Enokido, Marek R. Ogiela, Lidia Ogiela, Nadeem Javaid, Makoto Takizawa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages320-326
Number of pages7
Volume2018-May
ISBN (Print)9781538621943
DOIs
Publication statusPublished - 2018 Aug 9
Event32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 - Krakow, Poland
Duration: 2018 May 162018 May 18

Other

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

Fingerprint

Purchasing

Keywords

  • Customer Level Prediction
  • Purchasing Data
  • Random Forest

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Doi, C., Katagiri, M., Araki, T., Ikeda, D., & Shigeno, H. (2018). Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system. In L. Barolli, T. Enokido, M. R. Ogiela, L. Ogiela, N. Javaid, & M. Takizawa (Eds.), Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018 (Vol. 2018-May, pp. 320-326). [8432258] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AINA.2018.00056

Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system. / Doi, Chiaki; Katagiri, Masaji; Araki, Takashi; Ikeda, Daizo; Shigeno, Hiroshi.

Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. ed. / Leonard Barolli; Tomoya Enokido; Marek R. Ogiela; Lidia Ogiela; Nadeem Javaid; Makoto Takizawa. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018. p. 320-326 8432258.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Doi, C, Katagiri, M, Araki, T, Ikeda, D & Shigeno, H 2018, Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system. in L Barolli, T Enokido, MR Ogiela, L Ogiela, N Javaid & M Takizawa (eds), Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. vol. 2018-May, 8432258, Institute of Electrical and Electronics Engineers Inc., pp. 320-326, 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018, Krakow, Poland, 18/5/16. https://doi.org/10.1109/AINA.2018.00056
Doi C, Katagiri M, Araki T, Ikeda D, Shigeno H. Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system. In Barolli L, Enokido T, Ogiela MR, Ogiela L, Javaid N, Takizawa M, editors, Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. Vol. 2018-May. Institute of Electrical and Electronics Engineers Inc. 2018. p. 320-326. 8432258 https://doi.org/10.1109/AINA.2018.00056
Doi, Chiaki ; Katagiri, Masaji ; Araki, Takashi ; Ikeda, Daizo ; Shigeno, Hiroshi. / Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system. Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018. editor / Leonard Barolli ; Tomoya Enokido ; Marek R. Ogiela ; Lidia Ogiela ; Nadeem Javaid ; Makoto Takizawa. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018. pp. 320-326
@inproceedings{7bb0a556629b474aab1fc4a6f14eb820,
title = "Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system",
abstract = "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.",
keywords = "Customer Level Prediction, Purchasing Data, Random Forest",
author = "Chiaki Doi and Masaji Katagiri and Takashi Araki and Daizo Ikeda and Hiroshi Shigeno",
year = "2018",
month = "8",
day = "9",
doi = "10.1109/AINA.2018.00056",
language = "English",
isbn = "9781538621943",
volume = "2018-May",
pages = "320--326",
editor = "Leonard Barolli and Tomoya Enokido and Ogiela, {Marek R.} and Lidia Ogiela and Nadeem Javaid and Makoto Takizawa",
booktitle = "Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Is he becoming an excellent customer for us? a customer level prediction method for a customer relationship management system

AU - Doi, Chiaki

AU - Katagiri, Masaji

AU - Araki, Takashi

AU - Ikeda, Daizo

AU - Shigeno, Hiroshi

PY - 2018/8/9

Y1 - 2018/8/9

N2 - 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.

AB - 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.

KW - Customer Level Prediction

KW - Purchasing Data

KW - Random Forest

UR - http://www.scopus.com/inward/record.url?scp=85052289357&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85052289357&partnerID=8YFLogxK

U2 - 10.1109/AINA.2018.00056

DO - 10.1109/AINA.2018.00056

M3 - Conference contribution

AN - SCOPUS:85052289357

SN - 9781538621943

VL - 2018-May

SP - 320

EP - 326

BT - Proceedings - 32nd IEEE International Conference on Advanced Information Networking and Applications, AINA 2018

A2 - Barolli, Leonard

A2 - Enokido, Tomoya

A2 - Ogiela, Marek R.

A2 - Ogiela, Lidia

A2 - Javaid, Nadeem

A2 - Takizawa, Makoto

PB - Institute of Electrical and Electronics Engineers Inc.

ER -