推荐系统数据集汇总

“搜广推”是互联网领域主流的业务模式，本篇文章汇总了业界常用的推荐系统研究数据集，方便算法研发人员进行学习。我们整理了每个数据集的简介、论文、Github和下载地址，并在协议允许的情况下为部分数据集提供了天池下载链接，方便国内用户下载学习。

Search, Recommendation and Advertising (commonly referred to as "Souguangtui" in the Chinese internet industry) is a mainstream business model in the internet sector. This paper compiles a curated collection of industry-standard research datasets for recommendation systems, to support algorithm researchers and developers in their learning and development work. For each dataset, we have organized its brief introduction, associated academic papers, Github repository links, and official download URLs. For certain datasets, we additionally provide download access via Alibaba Cloud Tianchi Platform, where permitted by their respective licensing terms, to facilitate convenient downloading and learning for domestic users in China.

搜集汇总

背景与挑战

背景概述

该数据集是一个推荐系统研究数据集的汇总资源，旨在为算法研发人员提供学习便利。它涵盖了电影、书籍、电商等多个领域的常用数据集，如Netflix、MovieLens和Yelp等，并提供了每个数据集的简介、相关论文、下载地址以及天池平台的国内下载链接，方便用户快速获取和使用。