A multi layer recency frequency monetary method for customer priority segmentation in online transaction
Author:
Affiliation:
1. Industrial Engineering Department, Sepuluh Nopember Institute of Technology, Surabaya, Indonesia
2. Informatics Department, Petra Christian University, Surabaya, Indonesia
Funder
research
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2162679
Reference24 articles.
1. Customer behaviour analysis based on buying-data sparsity for multi-category products in pork industry: A hybrid approach
2. A direct mail customer purchase model
3. Birant, D. (2011). Data mining using RFM analysis. In Knowledge-oriented applications in data mining. IntechOpen.
4. Disruptive technologies: Catching the wave Joseph L. Bower and Clayton M. Christensen, Harvard Business Review (January–February 1995), pp. 43–53
5. Changqiu, L. (2011). An efficient method to identify customer value in tourist hotel management. International Conference on Enterprise Information Systems, 165–169
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The identification of the business’s most promising customers;AIP Conference Proceedings;2024
2. A Study of Customer Segmentation Based on RFM Analysis and K-Means;International Conference on Innovative Computing and Communications;2023-10-26
3. Exploratory Data Analysis and Data Segmentation using K means Clustering;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12
4. Probabilistic Customer Purchase Evolution Graph;IEEE Access;2023
5. Point-of-sale loyalty analysis considering store environment (online and offline) and recency of purchase;Review of Business Management;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3