搜索资源列表
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
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.)
matlab实现ItemBaseCF算法
- 使用matlab实现了基于项目的协同过滤算法(A collaborative filtering algorithm based on project based on MATLAB is implemented)
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)
5
- 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 c
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
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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. Databas
8
- 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 s
2
- 协同过滤算法，用python检验，可用于推荐系统中的协同过滤推荐算法，进而进行计算模拟(The collaborative filtering algorithm, using Python test, can be used in the collaborative filtering recommendation algorithm in the recommendation system, and then the calcula
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- 协同过滤算法，用python检验，可用于推荐系统中的协同过滤推荐算法，进而进行计算模拟G代码和M代码说明代温湿度实时监视报警，语音报警(Collaborative filtering algorithm, using Python test, can be applied to collaborative filtering recommendation algorithm in recommender system, and then
GudongRecommendation-master
- 基于深度学习和协同过滤算法实现问卷调查内容推荐，通过深度学习中的tensflow构建项目评分矩阵，利用协同过滤算法产生推荐结果。(Based on the depth learning and collaborative filtering algorithm, the content of the questionnaire is recommended. The project score matrix is constructed
UserBaseCF
- 协同过滤推荐算法是诞生最早，并且较为著名的推荐算法。主要的功能是预测和推荐。算法通过对用户历史行为数据的挖掘发现用户的偏好，基于不同的偏好对用户进行群组划分并推荐品味相似的商品。协同过滤推荐算法分为两类，分别是基于用户的协同过滤算法(user-based collaboratIve filtering)，和基于物品的协同过滤算法(item-based collaborative filtering)，本算法是基于用户的协同过滤算法(us
推荐算法在数字化营销业务场景中的应用
- 基于用户的协同过滤算法，可以根据用户对电影的评价集推荐其潜在喜爱电影。(Based on user's collaborative filtering algorithm, potential favorite movies can be recommended according to user's evaluation set.)
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)