Recommender SystemA developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Stars: ✭ 227 (+1035%)
Mutual labels: recommender-system
NGCF-PyTorchPyTorch Implementation for Neural Graph Collaborative Filtering
Stars: ✭ 200 (+900%)
Mutual labels: recommender-system
NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Stars: ✭ 100 (+400%)
Mutual labels: recommender-system
GNN-Recommendation毕业设计:基于图神经网络的异构图表示学习和推荐算法研究
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Mutual labels: recommender-system
RecommenderSystemsNotebooksSet of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
Stars: ✭ 28 (+40%)
Mutual labels: recommender-system
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
Stars: ✭ 64 (+220%)
Mutual labels: recommender-system
SpotlightDeep recommender models using PyTorch.
Stars: ✭ 2,623 (+13015%)
Mutual labels: recommender-system
Social-RecommendationSummary of social recommendation papers and codes
Stars: ✭ 143 (+615%)
Mutual labels: recommender-system
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.
Stars: ✭ 48 (+140%)
Mutual labels: recommender-system
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"
Stars: ✭ 103 (+415%)
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svae cf[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
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Mutual labels: recommender-system
Recommendersystem DatasetThis repository contains some datasets that I have collected in Recommender Systems.
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QRecQRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Stars: ✭ 1,354 (+6670%)
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CatalystAccelerated deep learning R&D
Stars: ✭ 2,804 (+13920%)
Mutual labels: recommender-system
Recommender-SystemsImplementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
Stars: ✭ 46 (+130%)
Mutual labels: recommender-system
RecoSysRecommend system learning resources and learning notes
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Mutual labels: recommender-system
flipperSearch/Recommendation engine and metainformation server for fanfiction net
Stars: ✭ 29 (+45%)
Mutual labels: recommender-system
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.
Stars: ✭ 91 (+355%)
Mutual labels: recommender-system