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KG4RecKnowledge-aware recommendation papers.
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JassSoulSeek client with web interface and recommender system
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RspapersA Curated List of Must-read Papers on Recommender System.
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adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
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recsys sparkSpark SQL 实现 ItemCF,UserCF,Swing,推荐系统,推荐算法,协同过滤
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NeuralCitationNetworkNeural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
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SpotlightDeep recommender models using PyTorch.
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Tf-RecTf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
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WWW2020-grecFuture Data Helps Training: Modeling Future Contexts for Session-based Recommendation
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mildnetVisual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
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RecnnReinforced Recommendation toolkit built around pytorch 1.7
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Tensorflow XnnTensorflow implementation of DeepFM variant that won 4th Place in Mercari Price Suggestion Challenge on Kaggle.
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NVTabularNVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
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fun-rec推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
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Winerama Recommender TutorialA wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
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FashionShopAppFashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System
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Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
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RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
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MixGCFMixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
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RecoSysRecommend system learning resources and learning notes
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SasrecSASRec: Self-Attentive Sequential Recommendation
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flipperSearch/Recommendation engine and metainformation server for fanfiction net
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BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
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recsys slates datasetFINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.
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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.
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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Recsys项亮的《推荐系统实践》的代码实现
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Recommender-SystemsImplementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
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BPR MPRBPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
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SAE-NADThe implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
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SSE-PTCodes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
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Product NetsTensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
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Recommendersystem DatasetThis repository contains some datasets that I have collected in Recommender Systems.
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EasyRecA framework for large scale recommendation algorithms.
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CatalystAccelerated deep learning R&D
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multi channel bprImplementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
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bprBayesian Personalized Ranking using PyTorch
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Reco PapersClassic papers and resources on recommendation
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DiscoRecommendations for Ruby and Rails using collaborative filtering
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Ad PapersPapers on Computational Advertising
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recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
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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.
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ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
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ML2017FALLMachine Learning (EE 5184) in NTU
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YueA python library for music recommendation
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