This repository is to manage code of my private project which is presented at the 18th School of Computing Term Project Showcase (STePS) of National University of Singapore (NUS).
The project is inspired by these academic researches published by Yuta Saito. Also, experimentation code in the repository is based on his code in GitHub. If you find this project interesting, please also refer his original papers and codes in his GitHub.
- "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback", which has been accepted at WSDM'20. (code in GitHub)
- "Unbiased Pairwise Learning from Biased Implicit Feedback", which has been accepted by ICTIR'20. (code in GitHub)
- "Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback", which has been accepted at SIGIR2020 as a full paper. (code in GitHub)
- numpy==1.17.2
- pandas==0.25.1
- scikit-learn==0.22.1
- tensorflow==1.15.2
- optuna==0.17.0
- mlflow==1.7.0
- pyyaml==5.1.2
The code can be run through this Kaggle notebook