搜索资源列表
svd_0.1.tar
- Netflix Prize 中的协同过滤算法 svd-Netflix Prize svd
filter
- 科学研究中常用的协同过滤算法的delphi语言实现，代码中有注视。-Commonly used in scientific research collaborative filtering algorithm delphi language, code in attention.
mahout-distribution-0.4-src
- Apache Mahout 是 Apache Software Foundation（ASF）旗下的一个开源项目，提供一些可扩展的机器学习领域经典算法的实现，旨在帮助开发人员更加方便快捷地创建智能应用程序。经典算法包括聚类、分类、协同过滤、进化编程等-Apache Mahout is the Apache Software Foundation (ASF)' s an open source project, to provide some areas of expansion of th
MLProject
- 协同过滤算法的一份文档，关于netflix项目的介绍-cf netflix
cf
- 协同过滤推荐算法综述 cf netflix-cf netflix
Netflix-Prize
- Netflix Prize 中的协同过滤算法 -Netflix Prize
netflix
- Netflix Prize 中的协同过滤算法 代码实现 C-Netflix Prize
netflix
- Netflix Prize 中的协同过滤算法 北大 博士论文-Netflix Prize
PMF
- Probabilistic Matrix Factorization 算法 用VS2010 C++实现，用于协同过滤。performs well on the large, sparse, and very imbalanced Netflix dataset。-we present the Probabilistic Matrix Factorization (PMF) model which scales linearly with the number of observ
CF-recommendation-algorithm
- 简单协同过滤推荐算法的实现代码，希望对大家有用-Simple collaborative filtering recommendation algorithm implementation code, I hope useful
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
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 through the tensflow in depth
Bayesian
- 基于贝叶斯的协同过滤算法，电影评分推荐，数据库ml-100k(Collaborative filtering algorithm)
movie-recommendation-python-master
- 利用协同过滤算法对movielens中的数据进行电影推荐(Collaborative filtering algorithm for movie recommendation in movielens)