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moviescf
- 协同过滤算法 网站电影，代码 实现 不错的哦，能搭建的环境-recommender system cf
协同过滤算法C++实现
- 一个用C++实现的典型协同过滤算法，相关度计算皮尔森相关系数，供大家参考。
基于用户的协同过滤推荐算法MATLAB
- 此代码为一个基于协同过滤的推荐算法，为基于用户的KNN协同过滤，由MATLAB实现，并计算MEA和RMSE
itemcf
- Hadoop平台上的物品协同过滤程序，使用Java语言编写(A Item Collaborate Filter Program based on Hadoop platform written by Java)
Reco
- python语言实现的userbase协同过滤算法(userbased Collaborative-Filtering on python)
CF
- 协同过滤算法的python代码，喜欢的朋友可以下来看看哦。(Collaborative filtering algorithm Python code, like friends can look down.)
test11-pearson10000
- 基于物品协同过滤算法，计算用户对某物品的兴趣值。(Based on the object collaborative filtering algorithm, the user's interest value to an item is calculated.)
基于协同过滤算法的网上商城系统源码-张慧
- 基于协同过滤算法的购物网站的实现，实现个性化商品推荐(Implementation of shopping website based on collaborative filtering algorithm)
cross-filter
- 电影推荐系统，运用协同过滤算法，运行ex8_cofi进入主程序(The application of collaborative filtering algorithm in movie recommendation system)
machine-learning-ex8
- 吴恩达机器学习公开课第九周作业，教你如何用“协同过滤”算法实现电影推荐系统(Andrew NG machine learning open class ninth weeks assignment to teach you how to use the "collaborative filtering" algorithm to implement the movie recommendation system)
大数据_协同过滤_梯度下降
- 给定10000个用户和他们对10000个电影的评价，然后通过协同过滤或梯度下降算法，用训练集训练数据，预测出用户对未看的电影的评分，并与测试集对比验证预测结果的准确性(You can learn Chinese,and read the Chinese introduction.)
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)
py
- 传统的基于用户的协同过滤算法，用python语言实现(Traditional user based collaborative filtering algorithm)
code
- 协同过滤算法，用python编写，可用于推荐系统中的协同过滤推荐算法。文件包含mariadb数据库数据导入，数据预处理等代码。(Collaborative filtering algorithm, written in Python)
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- 协同过滤算法，用python编写，可用于推荐系统中的协同过滤推荐算法。文件包含mariadb数据库数据导入，数据预处理等代码。产生模拟海面，进而进行计算模拟(Collaborative filtering algorithm, written in Python, can be used to recommend the collaborative filtering recommendation algorithm in the system. The files include MariaD
4p
- 协同过滤算法，用python编写，可用于推荐系统中的协同过滤推荐算法。文件包含mariadb数据库数据导入。产生模拟海面，进而进行计算模拟(Collaborative filtering algorithm, written in Python, can be used to recommend the collaborative filtering recommendation algorithm in the system. The file contains the MariaDB dat
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- 协同过滤算法，用python编写，可用于推荐系统中的协同过滤推荐算法。文件包含数据库数据导入。产生模拟海面，进而进行计算模拟(Collaborative filtering algorithm, written in Python, can be used to recommend the collaborative filtering recommendation algorithm in the system. The file contains the database data impo
6p
- 协同过滤算法，用python编写和检验，可用于推荐系统中的协同过滤推荐算法。文件包含数据库数据导入。产生模拟海面，进而进行计算模拟(Collaborative filtering algorithm, written and tested by python, can be used in the recommendation of collaborative filtering algorithm in the system. The file contains the database da
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- 协同过滤算法，用python编写和检验，可用于推荐系统中的协同过滤推荐算法。数据库数据导入。产生模拟海面，进而进行计算模拟(Collaborative filtering algorithm, written and tested by python, can be used in the recommendation of collaborative filtering algorithm in the system. Database data import. The simulated s
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- 协同过滤算法，用python编写和检验，可用于推荐系统中的协同过滤推荐算法。产生模拟海面，进而进行计算模拟(Collaborative filtering algorithm, written and tested by python, can be used in the recommendation of collaborative filtering algorithm in the system. The simulated sea surface is produced, and th