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RecSys
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推荐系统实践(基于近邻和LFM的推荐系统)
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RecSys
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# RecSys 这是《推荐系统实践》中基于近邻的方法的代码实现。 数据集使用的是MovieLen中大小为100K的数据集。</br> 程序分为6个文件:</br> UserCF:基于用户的算法</br> UserCF_IIF:改进的基于用户的算法</br> ItemCF:基于物品的算法</br> ItemCF_IUF:改进的基于物品的算法</br> LFM:隐因子模型算法 </br> Evaluation:评价指标</br> mainCF:主函数,读取数据和测试</br>