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Heater--Cold-Start-Recommendation
Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts TransformationFairness-in-Cold-Start-Recommendation
Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'Popularity-Bias-in-Dynamic-Recommendation
Code for the KDD21 paper -- Popularity Bias in Dynamic RecommendationItem-Underrecommendation-Bias
Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking SystemsJoint-Collaborative-Autoencoder
The implementation of our paper: Improving Top-K Recommendation via Joint Collaborative AutoencodersMeasuring-Mitigating-Mainstream-Bias
Fairness-Aware_Tensor-Based_Recommendation
This is the implementation of our paper: Ziwei Zhu, Xia Hu, and James Caverlee. 2018. Fairness-Aware Tensor-Based Recommendation. In The 27th ACM International Conference on Information and Knowledge Management (CIKM β18), October 22β26, 2018, Torino, Italy.Unbiased-Propensity-and-Recommendation
Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint LearningModeling-and-Detecting-Student-Attention-and-Interest-Level-using-Wearable-Computers
Code for the paper: Ziwei Zhu, Sebastian Ober, Roozbeh Jafari. Modeling and Detecting Student Attention and Interest Level Using Wearable Computers. IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2017.Love Open Source and this site? Check out how you can help us