Zziwei/Fairness-in-Cold-Start-Recommendation

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Zziwei/Fairness-in-Cold-Start-Recommendation

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Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'

Heater--Cold-Start-Recommendation

Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation

Popularity-Bias-in-Dynamic-Recommendation

Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation

Jupyter Notebook

Item-Underrecommendation-Bias

Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems

Joint-Collaborative-Autoencoder

The implementation of our paper: Improving Top-K Recommendation via Joint Collaborative Autoencoders

Measuring-Mitigating-Mainstream-Bias

Jupyter Notebook

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 ’18), October 22–26, 2018, Torino, Italy.

Unbiased-Propensity-and-Recommendation

Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning

Modeling-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.

AndroidWear_Gesture_Recognition

Real-time gesture recognition demo with Android Wear device (Moto360).