Fast RFM Model for Customer Segmentation-Reference-Cited by-同舟云学术

Fast RFM Model for Customer Segmentation

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Web Conference 2022
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Author:

Wan Shicheng¹,Chen Jiahui¹,Qi Zhenlian²,Gan Wensheng³,Tang Linlin⁴

Affiliation:

1. School of Computer Science and Technology, Guangdong University of Technology, China

2. Guangdong University of Technology, China

3. Jinan University, China

4. Harbin Institute of Technology, China

Funder

National Key-Research and Development Program of China

National Natural Science Foundation of China

Guangzhou Basic and Applied Basic Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487553.3524707

Reference36 articles.

1. Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer

2. Discovering high utility-occupancy patterns from uncertain data

3. Jiahui Chen , Shicheng Wan , Wensheng Gan , Guoting Chen , and Hamido Fujita . 2021 . TOPIC: Top-k high-utility itemset discovering. arXiv preprint, arXiv:2106.14811(2021). Jiahui Chen, Shicheng Wan, Wensheng Gan, Guoting Chen, and Hamido Fujita. 2021. TOPIC: Top-k high-utility itemset discovering. arXiv preprint, arXiv:2106.14811(2021).

4. Classifying the segmentation of customer value via RFM model and RS theory

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