搜索资源列表
ItemCF_SlopeOne
- 内容推荐系统，协同过滤，ItemC，UserCF，SlopeOne-Content recommendation system, collaborative filtering, ItemC, UserCF, SlopeOne
UserCF
- 用C++实现的基于用户的协同过滤算法，包含训练集、测试集-Achieved with C++ user-based collaborative filtering algorithms, including training set, test set
UserCF
- 推荐算法，基于用户的协同过滤算法，python 实现，简单快速。-recommend algorithm ,collaborate filter algorithm based on user ,python implement.simply and fast
usercf
- 基于用户的协同过滤算法(Python实现) ,很好的学习协同过滤算法的资料-User Based Collaborative Filtering
MovieLens-RecSys-python2
- 基于Movielens 1M数据集分别实现了User Based Collaborative Filtering（以下简称UserCF）和Item Based Collaborative Filtering（以下简称ItemCF）两个算法.(Implementation of collaborative filtering based on UCF/ICF)
CF
- Java编写基于用户和基于项目的协同过滤的代码实现，数据集为movie_lens100k(ItemCF, UserCF based on Java)
usercf
- 利用Python计算基于用户的协同过滤算法，计算Mae值(Using Python to calculate the user based collaborative filtering algorithm and calculate the Mae value)
movie_recommend-master
- 基于Spark ALS实现协同过滤，基于内容的过滤、基于用户的协同过滤(Spark ALS Collaborative filtering, Content based filterin,User based collaborative filtering)
UserCF
- 使用Python实现一个基于用户的协同过滤算法(A recommandation system based on User by python)