SAE-NADThe implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
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EasyRecA framework for large scale recommendation algorithms.
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RecnnReinforced Recommendation toolkit built around pytorch 1.7
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TIFUKNNkNN-based next-basket recommendation
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ML2017FALLMachine Learning (EE 5184) in NTU
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Ad PapersPapers on Computational Advertising
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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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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.
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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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M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
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REGALRepresentation learning-based graph alignment based on implicit matrix factorization and structural embeddings
Stars: ✭ 78 (-84.34%)
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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DsinCode for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
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recsim ngRecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
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mlstm4recoMultiplicative LSTM for Recommendations
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AttentionwalkA PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
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python-libmfNo description or website provided.
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FashionShopAppFashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System
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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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mildnetVisual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
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Recommendrecommendation system with python
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RecSys PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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HybridBackendEfficient training of deep recommenders on cloud.
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SAMNThis is our implementation of SAMN: Social Attentional Memory Network
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RecSysDatasetsThis is a repository of public data sources for Recommender Systems (RS).
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GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
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LibrecLibRec: A Leading Java Library for Recommender Systems, see
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NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
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RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
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rs datasetsTool for autodownloading recommendation systems datasets
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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
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MARankMulti-order Attentive Ranking Model for Sequential Recommendation
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Auto-SurpriseAn AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
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MixGCFMixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
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SasrecSASRec: Self-Attentive Sequential Recommendation
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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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RecoSysRecommend system learning resources and learning notes
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skywalkRcode for Gogleva et al manuscript
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flipperSearch/Recommendation engine and metainformation server for fanfiction net
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QRecQRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
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JNSKRThis is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)
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PHDMFThis is a new deep learning model for recommender system, which we called PHD
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keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
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OLSTECOnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
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BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
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