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RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
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Flurs🌊 FluRS: A Python library for streaming recommendation algorithms
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Fastfm fastFM: A Library for Factorization Machines
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CornacA Comparative Framework for Multimodal Recommender Systems
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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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ConsimiloA Clojure library for querying large data-sets on similarity
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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.
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Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
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GorseAn open source recommender system service written in Go
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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.
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recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
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Movielens RecommenderA pure Python implement of Collaborative Filtering based on MovieLens' dataset.
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CofactorCoFactor: Regularizing Matrix Factorization with Item Co-occurrence
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SpotlightDeep recommender models using PyTorch.
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matrix-completionLightweight Python library for in-memory matrix completion.
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RecosystemRecommender System Using Parallel Matrix Factorization
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Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
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Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
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FmgKDD17_FMG
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retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
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ppreca recommender engine node-js package for general use and easy to integrate.
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CarskitJava-Based Context-aware Recommendation Library
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SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
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RecSys PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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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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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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RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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BPR MPRBPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
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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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TIFUKNNkNN-based next-basket recommendation
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rec-a-sketchcontent discovery... IN 3D
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STACPJoint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
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LibrecLibRec: A Leading Java Library for Recommender Systems, see
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slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
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BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
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