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duine-movielens-4.0.0-RC1
- The Duine Framework is a (collection of) software libraries that allows developers to create prediction engines for their own applications. A prediction engine is a component that predicts how interested individual users are in pieces of information.
recosys
- 在网络和电子商务环境下,推荐系统得到了广泛的应用。本文在建立了推荐系统的研究内容框架的基础上,从用户信息收集和用户建模、个性化推荐算法、推荐系统的评价及推荐系统的应用等四个方面对推荐系统的现有研究成果进行了系统的评述,并指出了推荐系统未来研究热点和发展方向。 -【英文摘要】 Recommender systems are among the most typical outcomes of the Internet and E-commerce.In this paper, the aut
RecommenderSystemsHandbook
- Data Mining Methods for Recommender Systems
movie_recommender_src
- This is a k-mode clustering based movie recommender, due to heavy system requirements it runs only in linux.
Concha_CF
- 【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-resul
Anomaly-Detection-and-Recommender-Systems
- Anomaly Detection and Recommender Systems using matlab
TLed
- It is a bpl for C + + Builder. Simple LED indicator. Made in C + + builder 2010, miuy easy to use. Recommender for beginners.
recommender
- 一个自己写的图书自动化推荐的功能，根据读者的聚类向不同的用户推荐适合自己的图书。界面比较简单，只实现了核心的算法。-Write your own book recommended automation functions, according to the clustering of readers recommend to different users for their own books. Interface is relatively simple, only implements t
BCS_upload
- This is a demo code to illustrate application of blind compressive sensing framework to recommender system design (to predict users choice for items).
test.tar
- 用于推荐系统的svd算法，以movielens 1m数据集为例，并有调参数方法-an implemention of svd algorithm for recommender
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
netflix.m
- collaborative filtering code MathLabs for the recommended system, including item-based and user-based two cases. User-based and item-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with
icare29
- 导购员可以最大最小化，加入了推荐人功能，推荐人可享受被推荐人消费金额的一部分回扣。 SP1 修复了推荐人的bug，安装时数据库可以自动更名-Shopping guide can be minimized, to add the function of the recommender, the recommended person can enjoy a part of the amount of the recommended consumer rebates. SP1 F
Recommender
- 基于MovieLens数据，通过计算余弦相似度，Python语言构建的一个简单协同过滤推荐系统，并给出RMSE等测评结果-Based MovieLens data by calculating the cosine similarity, Python language to build a simple collaborative filtering systems, and the like are given RMSE uation results
cofe
- 基于协同过滤推荐recommendation的电影推荐系统源码-Movie recommendation based on collaborative filtering recommender system source code
9coolv5.2
- 一、用户注册及管理功能 1、用户必须阅读相关注册声明并同意方可进行下一步注册，管理员可在后台设置注册声明显示时间及服务声明内容(免费版没有此功能) 2、注册时可预查询输入的帐号是否有被注册，自动生成：如www.abc.com/yourname二级域名，增加推荐人功能-1, the user registration and management functions 1, the user must read the relevant registration statement and agre
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)
Recommender Systems
- cos相似度实现推荐预测，实现了找出相似度最大的某行某列进行预测(Cos similarity to achieve the recommended prediction, to achieve the largest similarity to find a row of a column to predict)
entree_data.tar
- 推荐系统可用数据集，可以用语训练测试推荐算法(A data set that is recommended by the recommender system)
Wide & Deep Learning for Recommender Systems
- Wide & Deep Learning for Recommender Systems