An industry case study showing that IPS, Doubly Robust learning, and AutoDebias produce inconsistent debiasing improvements on implicit-feedback mobile game recommender data.
In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (ICML 2016)
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Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games
An industry case study showing that IPS, Doubly Robust learning, and AutoDebias produce inconsistent debiasing improvements on implicit-feedback mobile game recommender data.