农特产品电商用户行为分析数据集

内部数据采集主要涵盖平台交易日志，通过用户ID、行为类型（购买/浏览/收藏）、页面停留时长等字段，可推断数据通过电商平台的前端埋点（如点击事件、页面跳转跟踪）采集。单价、数量、支付方式等来自订单系统数据库，与支付接口（微信/支付宝）对接；收货地址（省市区）可能通过用户注册或订单填写获取，设备类型通过User-Agent解析。敏感信息已做脱敏处理，本数据集不涉及外部采集。

Internal data collection primarily covers platform transaction logs. Relevant fields include user ID, behavior type (purchase/browse/favorite), page stay duration, etc. It can be inferred that the data is collected via front-end burying points (such as click events and page jump tracking) on the e-commerce platform. Fields such as unit price, quantity and payment method are sourced from the order system database, which is connected to payment interfaces (WeChat Pay/Alipay). Shipping addresses (province, city and district) may be obtained through user registration or order completion, while device type is parsed via the User-Agent string. Sensitive information has been desensitized, and this dataset does not involve external data collection.

搜集汇总

背景与挑战

背景概述

该数据集包含10,000条农特产品电商平台的用户行为数据，每日更新，涵盖浏览、收藏、购买等行为类型及商品、支付、地址等多维度字段。专用于分析扶贫商品消费特征和转化效果，通过算法模型支持用户分层、商品推荐和ROI计算，为农特产品扶贫策略提供数据支撑。