Causal Disentanglement with Network Information for Debiased Recommendations

Paras Sheth, Ruocheng Guo, Lu Cheng +2

Recommender systems aim to recommend new items to users by learning user and item representations. In practice, these representations are highly entangled as they consist of inform…