This project forked from qq209096727/recommondation-system
一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解
一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解
测试数据使用的是movielens数据集
main.py 这是各种算法的入口
----data_preprocessing 对原始数据进行预处理的代码
----CB_recommendation 包含基于内容的推荐算法实现代码
----CF_recommendation 包含协同过滤推荐算法实现代码
----MF_recommendation 包含矩阵分解推荐算法实现代码
----measure 一些用于计算度量的方法
| 算法 | MSE | RMSE |
|---|---|---|
| 基于内容的推荐算法 | 0.96124462 | 0.98043083 |
| 协同过滤推荐算法 | 1.25509244 | 1.12030908 |
| 矩阵分解推荐算法 | 0.95787807 | 0.97871245 |
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