离线赛

训练数据包含了抽样出来的一定量用户在一个月时间（11.18~12.18）之内的移动端行为数据（D），评分数据是这些用户在这个一个月之后的一天（12.19）对商品子集（P）的购买数据。参赛者要使用训练数据建立推荐模型，并输出用户在接下来一天对商品子集购买行为的预测结果。

The training dataset includes mobile behavioral data (denoted as D) of a certain number of sampled users over a one-month period spanning from November 18 to December 18. The corresponding rating data consists of the purchase records of these users for a product subset (denoted as P) on December 19, one day after the aforementioned one-month window. Participants are required to construct a recommendation model using the training data, and output the predicted purchase behavior of users towards the product subset in the following day.

搜集汇总

背景与挑战

背景概述

该数据集名为“离线赛”，包含用户在一个月内的移动端行为数据和后续一天的购买评分数据，用于训练推荐模型以预测用户对商品子集的购买行为。数据集包括两个CSV文件，分别记录商品和用户信息。