SASRec.pytorchPyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Stars: ✭ 137 (+470.83%)
Mutual labels: recommender-system, sequential-models
bprBayesian Personalized Ranking using PyTorch
Stars: ✭ 105 (+337.5%)
Mutual labels: recommender-system
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-…
Stars: ✭ 110 (+358.33%)
Mutual labels: recommender-system
Causal Reading GroupWe will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Stars: ✭ 339 (+1312.5%)
Mutual labels: recommender-system
Neural Bayesian Personalized RankingRepresentation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation
Stars: ✭ 23 (-4.17%)
Mutual labels: recommender-system
TIFUKNNkNN-based next-basket recommendation
Stars: ✭ 38 (+58.33%)
Mutual labels: recommender-system
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.
Stars: ✭ 18 (-25%)
Mutual labels: recommender-system
MoHRMoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships
Stars: ✭ 51 (+112.5%)
Mutual labels: recommender-system
online-course-recommendation-systemBuilt on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
Stars: ✭ 31 (+29.17%)
Mutual labels: recommender-system
EATNNThis is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)
Stars: ✭ 23 (-4.17%)
Mutual labels: recommender-system
Course-Recommendation-SystemA system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Stars: ✭ 14 (-41.67%)
Mutual labels: recommender-system
YueA python library for music recommendation
Stars: ✭ 88 (+266.67%)
Mutual labels: recommender-system
chainRecMengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
Stars: ✭ 52 (+116.67%)
Mutual labels: recommender-system
NeuralCitationNetworkNeural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (+0%)
Mutual labels: recommender-system
recsim ngRecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Stars: ✭ 106 (+341.67%)
Mutual labels: recommender-system
STACPJoint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
Stars: ✭ 19 (-20.83%)
Mutual labels: recommender-system
Keras.jlRun keras models with a Flux backend
Stars: ✭ 19 (-20.83%)
Mutual labels: sequential-models
EasyRecA framework for large scale recommendation algorithms.
Stars: ✭ 599 (+2395.83%)
Mutual labels: recommender-system
