Content-based-Recommender-SystemIt is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
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DiscoRecommendations for Ruby and Rails using collaborative filtering
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CatalystAccelerated deep learning R&D
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NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
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Drl4recsysCourses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
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RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
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Nlp4rec PapersPaper list of NLP for recommender systems
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Sbr GoRecommender systems for Go
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Recommendersystem DatasetThis repository contains some datasets that I have collected in Recommender Systems.
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flipperSearch/Recommendation engine and metainformation server for fanfiction net
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Reco PapersClassic papers and resources on recommendation
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FashionShopAppFashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System
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ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
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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.
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Graph NetworksA list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
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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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NGCF-PyTorchPyTorch Implementation for Neural Graph Collaborative Filtering
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Entity2recentity2rec generates item recommendation using property-specific knowledge graph embeddings
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MixGCFMixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
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Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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NcfA pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
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Recommender SystemA developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
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rs datasetsTool for autodownloading recommendation systems datasets
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SpotlightDeep recommender models using PyTorch.
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QRecQRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
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SAMNThis is our implementation of SAMN: Social Attentional Memory Network
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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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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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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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CrslabCRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
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auction-website🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.
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Cikm 2019 Analyticup1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
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Recommender-SystemsImplementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
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Szuthesis📝 SZU Undergraduate Thesis -- Recommender System
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retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
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RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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RecommenderSystemsNotebooksSet of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
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AlbedoA recommender system for discovering GitHub repos, built with Apache Spark
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RivalRiVal recommender system evaluation toolkit
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slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
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RecSys PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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RecoSysRecommend system learning resources and learning notes
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