题名 | Customer Segment Classification Prediction in the Australian Retail Based on Machine Learning Algorithms |
作者 | |
发表日期 | 2023-10-27 |
会议录名称 | ACM International Conference Proceeding Series
![]() |
页码 | 498-503 |
摘要 | Customer segmentation is an essential area of business analytics today. Accurate customer segmentation is access to improves the efficiency of marketing campaigns and customer satisfaction. This study employs multiple machine learning methods to classify Australian Retail company BIGW's customer segments and first to apply multiple model explanation methods to find insights related to customer segmentation identification. After rigorous comparison and hyperparameter fine-tuning, XGBoost is the most adept for this dataset. We derive three key insights through the model results and model interpretive methods. First, BIGW's primary clientele comprises young families in urban areas who prefer cost-effective products, establishing the foundation of their consumer base. Second, the model result indicates a notable gap in BIGW's understanding of its high-end customers, suggesting an area for immediate attention. Third, a specific customer segment emerges from the data: individuals favoring online shopping, demonstrating high total expenditure but low interest in promotions, representing a high-value segment. |
关键词 | Australian Retail Customer segment classification machine learning model interpretation |
DOI | 10.1145/3650215.3650302 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-85191301409 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/11559 |
专题 | 北师香港浸会大学 |
通讯作者 | Luo,Yiming |
作者单位 | 1.Business Schoo,The University of Sydney,Sydney,Australia 2.Computer and Information Sciences Program,Harrisburg University of Science and Technology,Harrisburg,United States 3.Faculty of Science and Technology,Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,China 4.School of Chemical and Environmental Engineering,Sichuan University of Science and Engineering,Zigong,China |
推荐引用方式 GB/T 7714 | Luo,Yiming,Zhang,Rui,Wang,Feiet al. Customer Segment Classification Prediction in the Australian Retail Based on Machine Learning Algorithms[C], 2023: 498-503. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
查看访问统计 |
谷歌学术 |
谷歌学术中相似的文章 |
[Luo,Yiming]的文章 |
[Zhang,Rui]的文章 |
[Wang,Fei]的文章 |
百度学术 |
百度学术中相似的文章 |
[Luo,Yiming]的文章 |
[Zhang,Rui]的文章 |
[Wang,Fei]的文章 |
必应学术 |
必应学术中相似的文章 |
[Luo,Yiming]的文章 |
[Zhang,Rui]的文章 |
[Wang,Fei]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论