infinite-dataset-hub/RetailCustomerSegmentation

--- license: mit tags: - infinite-dataset-hub - synthetic --- # RetailCustomerSegmentation tags: personalization, demographics, clustering _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'RetailCustomerSegmentation' dataset is a curated collection of customer data from a fictitious retail company. This dataset aims to facilitate machine learning practitioners in creating personalized marketing campaigns and tailored shopping experiences. It encompasses customer demographics and purchase history, with each entry categorized into distinct segments for targeted marketing. Labels indicate the primary segment for each customer, enabling efficient clustering and analysis. **CSV Content Preview:** ``` customer_id,age,gender,annual_income,spending_score,labels 1,23,Female,39000,39,ValueSeekers 2,35,Male,30000,81,PremiumShoppers 3,42,Female,54000,50,LoyalBuyers 4,36,Male,62000,24,ImpulseBuyers 5,28,Female,31000,77,ValueSeekers ``` *Note:* Each label is an invented category reflecting a specific customer segment. For instance, 'ValueSeekers' might represent customers who are cost-conscious but still make quality purchases, while 'PremiumShoppers' may represent customers who are willing to spend more for luxury or high-end products. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=RetailCustomerSegmentation&tags=personalization,+demographics,+clustering - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub许可证：MIT许可证 标签： - 无限数据集枢纽相关（infinite-dataset-hub） - 合成数据集（synthetic） # 零售客户细分（RetailCustomerSegmentation） 标签：个性化（personalization）、人口统计特征（demographics）、聚类（clustering） 注意：本数据集为AI生成，其内容可能存在不准确或虚假之处 **数据集说明：** 「零售客户细分（RetailCustomerSegmentation）」数据集是为虚构零售企业精选整理的客户数据合集。本数据集旨在助力机器学习从业者开展个性化营销活动与定制化购物体验相关研究。数据集涵盖客户人口统计特征与购买历史信息，每条数据均被归类至不同的客户细分群体以支持定向营销。标签标注了每位客户所属的核心细分群体，可实现高效的聚类分析与相关研究。 **CSV内容预览：** customer_id,age,gender,annual_income,spending_score,labels 1,23,Female,39000,39,ValueSeekers 2,35,Male,30000,81,PremiumShoppers 3,42,Female,54000,50,LoyalBuyers 4,36,Male,62000,24,ImpulseBuyers 5,28,Female,31000,77,ValueSeekers *注意：*每个标签均为虚构分类，用于反映特定的客户细分群体。例如，「性价比追求者（ValueSeekers）」可指代注重成本但仍会购买优质商品的客户，而「高端购物者（PremiumShoppers）」则可指代愿意为奢侈品或高端产品支付更高价格的客户。 **数据集来源：** 本数据集通过无限数据集枢纽（Infinite Dataset Hub）与微软（Microsoft）的Phi-3-mini-4k-instruct模型，基于空查询指令生成： - 数据集生成页面：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=RetailCustomerSegmentation&tags=personalization,+demographics,+clustering - 所用模型：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - 更多数据集：https://huggingface.co/datasets?other=infinite-dataset-hub