Ta Feng

该数据集是由ACM RecSys发布的一个稀疏的杂货购物数据集，涵盖了各种产品交易信息。用户的互动数据是按照时间戳排序的，且对于训练、验证和测试阶段有明确的划分。数据集的规模为稀疏型，任务目标是预测用户是否会购买某个特定商品。

This sparse grocery shopping dataset is released by ACM RecSys, encompassing a wide range of product transaction records. User interaction data is chronologically ordered based on timestamps, with well-defined splits for training, validation, and test phases. The dataset features a sparse data structure, and its core task is to predict whether a user will purchase a given product.