Data-Augmented Counterfactual Learning for Bundle Recommendation

no code implementations • 19 Oct 2022 • Shixuan Zhu, Qi Shen, Yiming Zhang, Zhenwei Dong, Zhihua Wei

In this paper, we propose a novel graph learning paradigm called Counterfactual Learning for Bundle Recommendation (CLBR) to mitigate the impact of data sparsity problem and improve bundle recommendation.

counterfactual Data Augmentation +2