零基础入门推荐系统 - 新闻推荐

赛题以预测用户未来点击新闻文章为任务，数据集报名后可见并可下载，该数据来自某新闻APP平台的用户交互数据，包括30万用户，近300万次点击，共36万多篇不同的新闻文章，同时每篇新闻文章有对应的embedding向量表示。为了保证比赛的公平性，将会从中抽取20万用户的点击日志数据作为训练集，5万用户的点击日志数据作为测试集A，5万用户的点击日志数据作为测试集B。

This competition task focuses on predicting users' future clicks on news articles. The dataset is available for download after registration, and it originates from user interaction data of a news mobile application platform. It covers 300,000 users, nearly 3 million click records, and more than 360,000 distinct news articles, with each news article having a corresponding embedding vector representation. To ensure the fairness of the competition, click log data of 200,000 users will be sampled as the training set, click log data of 50,000 users as test set A, and click log data of the remaining 50,000 users as test set B.