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collaborativefilteringv3

TimeSVD++ model: Recommender system using Matrix Factorization techniques, while utilize temporal models to extend models accuracy.

deeprecommender

Deep learning for recommender systems

dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

ews-managed-api

exchangeserver

Utility class for sending email through Exchange Server using EWS 2

librec

LibRec: A Leading Java Library for Recommender Systems, see

list_of_recommender_systems

A List of Recommender Systems and Resources

logisticregression

Logistic regression from scratch in Python

movie_recommender

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

ptcf

设计了一种基于相似度传播和时间综合权重的协同过滤算法，并运用到新书推荐具体场景中，具有重要的理论与实践意义。

recommendation

推荐系统实例

recommendsystem_studynote

temporal-product-recommendation

This project is about how to discover temporal pattern in recommendation systems. We implement matrix factorization and work of several papers.

timesvdplusplus

Implemented SVD, SVD++ and timeSVD++. Can be used on the netflix data to make predictions. Data can be downloaded from https://minnow.noip.me/~jzhou/courses/S15.BigData/assignments/pmd-project.tar.gz

transdim

Machine learning for transportation data imputation and prediction.