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.
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Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
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Movielens RecommenderA pure Python implement of Collaborative Filtering based on MovieLens' dataset.
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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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GorseAn open source recommender system service written in Go
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RankfmFactorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
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QRecQRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
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ImplicitFast Python Collaborative Filtering for Implicit Feedback Datasets
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BPR MPRBPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking
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ElliotComprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
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ConsimiloA Clojure library for querying large data-sets on similarity
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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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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.
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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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Ml Surveys📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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TIFUKNNkNN-based next-basket recommendation
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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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recommenderNReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
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slopeonePHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.
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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 PyTorchPyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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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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RecoderLarge scale training of factorization models for Collaborative Filtering with PyTorch
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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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Recsys19 hybridsvdAccompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
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Movie Recommender SystemBasic Movie Recommendation Web Application using user-item collaborative filtering.
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CornacA Comparative Framework for Multimodal Recommender Systems
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RsparseFast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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SLRCWWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
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BARSTowards open benchmarking for recommender systems https://openbenchmark.github.io/BARS
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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
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LibrecLibRec: A Leading Java Library for Recommender Systems, see
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ML2017FALLMachine Learning (EE 5184) in NTU
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ppreca recommender engine node-js package for general use and easy to integrate.
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PoldataA dataset with political datasets
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Movielens4 different recommendation engines for the MovieLens dataset.
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nps-widgetNet Promoter Score widget
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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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Survey LibraryJavaScript Survey and Form Library
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JassSoulSeek client with web interface and recommender system
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SodsurveySalient Object Detection in the Deep Learning Era: An In-Depth Survey
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Ad PapersPapers on Computational Advertising
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mlstm4recoMultiplicative LSTM for Recommendations
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Kenlg ReadingReading list for knowledge-enhanced text generation, with a survey
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