这是用matlab写的协同滤波算法主程序，程序简单，易于理解。可以应用于推荐系统-It is used to write collaborative filtering algorithm matlab main program, the program is simple and easy to understand. Recommended system can be applied。。。。。。

现在比较常用的一种传统的协同过滤算法，用于个性化推荐 最基础的-Now more commonly used as a traditional collaborative filtering algorithms for the most basic personalized recommendation

Python实现协同过滤算法，即Collaborative Filtering(CF)，数据集为MovieLens电影推荐和书籍推荐数据集-Python implementation of collaborative filtering algorithm, namely Collaborative Filtering (CF), the data set is recommended MovieLens movie and book recommendations datasets

利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)