Deconfounded Recommendation for Alleviating Bias Amplification
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Updated
Jun 12, 2021 - Python
Deconfounded Recommendation for Alleviating Bias Amplification
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
The official implementation of "DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias" (MM '22)
User-controllable Recommendation Against Filter Bubbles
This repository hosts the code and the settings for the paper "Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems" by Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, and Markus Schedl at ECML-PKDD'24.
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