GCMCCode for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
Recommender-SystemIn this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.
BPR MPRBPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
TIFUKNNkNN-based next-basket recommendation
RecSys PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
TwoTowersA configurable, tunable, and reproducible library for deep matching models
raptorA lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
tf-recsystf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
oboeAn AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
RecommendationEngineSource code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
LR-GCCFRevisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020