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bregcc_code
- Bregman 双聚类matlab实现，推荐系统算法-Bregman co-clustering matlab encode，recommendation system
MyMediaLiteJava
- 推荐系统的源代码，具有当今最新的推荐算法实现，有众多应用。比如作为插件应用于开源数据挖掘工具RapidMiner中。-Source code for recommendation systems, with state-of-the-art algorithms for recommendation and widely applicable. It can be used as plugin in the open source data mining tool RapidMiner.
MovieSite
- 实现了一个针对电影评分的推荐算法，搭建了一个简单的web系统，可以推荐用户可能感兴趣的电影。-A recommendation algorithm for the film score, to build a simple web system can recommend the user may be interested in movies.
BaiduRe
- 推荐系统中的二部图，热传导推荐具体实现过程-Recommended system two maps, heat conduction recommend specific implementation process
ex1_003
- matlab实现的推荐系统，融合机器学习的方法，出自斯坦福大学吴恩达-matlab implementation of recommendation system, the integration of machine learning methods, from Stanford University, Wu Enda
PMF
- C++实现的Probabilistic Matrix Factorization（PMF） 算法，用于推荐系统-Probabilistic Matrix Factorization（PMF）in C++
Recommend-system-for-movie
- 电影推荐系统中引用了Apache Mahout提供的一个协同过滤算法的推荐引擎Taste，它实现了最基本的基于用户和基于内容的推荐算法，并提供了扩展接口，使用户方便的定义和实现自己的推荐算法。-Movie recommendation system references a collaborative filtering algorithm recommendation engine Taste Apache Mahout provided it implements the basic use
source
- 智能推荐系统属于数据发掘与机器学习相交织的学科。本代码是智能推荐系统中最基础的UCF，ICF和RSVD算法的实现。-Intelligent recommendation system is a data mining and machine learning intertwined disciplines. The code is the most intelligent recommendation system based UCF, ICF and RSVD algorithm.
recommender-
- Collaborative Filtering，基于Collaborative Filtering，建立主动为用户推荐商品的推荐系统。实现参考协同过滤算法或它的优化，实现并改进算法，计算出每个客户对未购买的商品的兴趣度，并向客户主动推荐他最感兴趣的N个商品。实验数据可以从MovieLens.com下载。要求使用至少10，000不同用户的数据，至少1000个不同的movie。-Collaborative Filtering，Based Collaborative Filtering, the in
recsys-challenge2015
- 本代码实现了 recsys challenge2015数据集分析的算法，对数据挖掘和推荐系统的学习很有帮助~！-This code implements recommend algorithm based on recsys challenge2015 data set , which definitly would helpful for studying Data mining and Recommendation system !just enjoy
Anomaly-Detection-Rder-Systems
- 异常检测和推荐系统的MATLAB实现案例，非常好的机器算法应用学习资料-MATLAB realization Case anomaly detection and recommendation system, a very good machine algorithm learning materials
recommender-master
- 基于多种算法的推荐系统python实现，其中包括了SVD、聚类分析等多种热门算法，并且有很强的可扩展性(A recommender system based on several kinds of algorithms, written in python)
recommend
- 一个关于自己实现推荐系统的案例，搞清楚推荐系统的实现过程(A recommendation on the implementation of their own system, clear the recommendation system to achieve the process)
ADMM_ALL
- 张量分解在推荐系统中有重要作用，代码实现张量的CP分解,用ADMM算法实现(We design an algorithm based on the Alternating Direction Method of Multipliers (ADM- M) technique. Experiments on real-world datasets find that the proposed model outperforms traditional methods.)
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)
recommender
- 利用scala实现的推荐系统，其中用到了hive、kafka、scala等(A recommendation system implemented using Scala, which uses hive, Kafka, Scala and so on)
SVDRecommenderSystem-master
- 实现了推荐算法，协同过滤、基于内容的推荐算法、奇异值分解。(Implementation of recommendation algorithm, collaborative filtering, singular value decomposition and so on.)
recommend-system-master
- 协同过滤算法实现推荐过程，其中产生了协同过滤推荐矩阵，通过矩阵计算推荐数据(generate recommend result through ITEMCF)
CollaborativeFiltering-master
- 协同过滤算法的实现，基于协同过滤算法的推荐系统，在电子商务领域有着极为广泛的应用。(Collaborative Filtering)