Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation

no code implementations • 28 Jun 2023 • Yupu Guo, Fei Cai, Xin Zhanga, Jianming Zhenga, Honghui Chena

In specific, DB-VAE first extracts two types of extreme items only affected by a single bias based on the collier theory, which are respectively employed to learn the latent representation of corresponding biases, thereby realizing the bias decoupling.

counterfactual Recommendation Systems