"A Dataset on Product Diversity and Performance in Livestreaming E-commerce"

"This dataset contains detailed information from 1,556 jade livestreaming sessions on Douyin (China's leading short-video platform) collected in March\u2013April 2024. It captures multidimensional product-level features\u2014including product type, price, popularity, and visibility\u2014alongside livestream-level performance metrics such as gross merchandise volume (GMV) and fan growth. Streamer characteristics (e.g., fan count, sales history, experience) are also included. The dataset was collected via Daduoduo.com and processed using Python-based web crawlers and natural language processing techniques (e.g., LDA for product categorization). This dataset enables research on assortment strategies, consumer behavior, and performance optimization in livestreaming commerce, particularly for non-standardized, high-involvement products like jade."

本数据集收录了2024年3月至4月期间，中国头部短视频平台抖音（Douyin）上1556场玉石直播的详细信息。数据集涵盖多维度商品级特征——包括商品品类、售价、热度与曝光度等——同时包含直播级表现指标，例如商品交易总额（Gross Merchandise Volume，简称GMV）与粉丝增长量。此外，数据集还收录了主播特征信息，例如粉丝数、销售历史与从业经验等。本数据集通过Daduoduo.com采集，并依托基于Python开发的网络爬虫与自然语言处理技术（例如用于商品分类的LDA）完成处理。该数据集可支持直播电商领域的品类策略、消费者行为与表现优化相关研究，尤其适用于玉石这类非标准化、高卷入度商品的相关研究。