CornacA Comparative Framework for Multimodal Recommender Systems
Stars: ✭ 308 (-40.43%)
Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
Stars: ✭ 85 (-83.56%)
RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Stars: ✭ 71 (-86.27%)
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.
Stars: ✭ 91 (-82.4%)
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (-76.6%)
ElliotComprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Stars: ✭ 49 (-90.52%)
ConsimiloA Clojure library for querying large data-sets on similarity
Stars: ✭ 54 (-89.56%)
DaisyrecA developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
Stars: ✭ 280 (-45.84%)
svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
Stars: ✭ 38 (-92.65%)
RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Stars: ✭ 145 (-71.95%)
RspapersA Curated List of Must-read Papers on Recommender System.
Stars: ✭ 4,140 (+700.77%)
PolaraRecommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Stars: ✭ 205 (-60.35%)
recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
Stars: ✭ 35 (-93.23%)
slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
Stars: ✭ 85 (-83.56%)
Recsys2019 deeplearning evaluationThis is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Stars: ✭ 780 (+50.87%)
Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
Stars: ✭ 23 (-95.55%)
GorseAn open source recommender system service written in Go
Stars: ✭ 1,148 (+122.05%)
Collaborative Deep Learning For Recommender SystemsThe hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Stars: ✭ 60 (-88.39%)
ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
Stars: ✭ 2,569 (+396.91%)
RecSys PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
Stars: ✭ 125 (-75.82%)
TIFUKNNkNN-based next-basket recommendation
Stars: ✭ 38 (-92.65%)
BPR MPRBPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
Stars: ✭ 77 (-85.11%)
Movielens RecommenderA pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Stars: ✭ 131 (-74.66%)
Recommender SystemA developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Stars: ✭ 227 (-56.09%)
Newsrecommendsystem个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
Stars: ✭ 557 (+7.74%)
SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
Stars: ✭ 32 (-93.81%)
RecoderLarge scale training of factorization models for Collaborative Filtering with PyTorch
Stars: ✭ 46 (-91.1%)
BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
Stars: ✭ 157 (-69.63%)
recsys sparkSpark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤
Stars: ✭ 76 (-85.3%)
EnmfThis is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Stars: ✭ 96 (-81.43%)
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.
Stars: ✭ 30 (-94.2%)
Winerama Recommender TutorialA wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
Stars: ✭ 324 (-37.33%)
SAE-NADThe implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
Stars: ✭ 48 (-90.72%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (-95.55%)
Recsys项亮的《推荐系统实践》的代码实现
Stars: ✭ 306 (-40.81%)
multi channel bprImplementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Stars: ✭ 25 (-95.16%)
Pytorch FmFactorization Machine models in PyTorch
Stars: ✭ 455 (-11.99%)
SasrecSASRec: Self-Attentive Sequential Recommendation
Stars: ✭ 373 (-27.85%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (-87.23%)
ppreca recommender engine node-js package for general use and easy to integrate.
Stars: ✭ 29 (-94.39%)
AMRThis is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.
Stars: ✭ 30 (-94.2%)
Ad PapersPapers on Computational Advertising
Stars: ✭ 3,515 (+579.88%)
JassSoulSeek client with web interface and recommender system
Stars: ✭ 23 (-95.55%)
Recdb PostgresqlRecDB is a recommendation engine built entirely inside PostgreSQL
Stars: ✭ 297 (-42.55%)