Be causal: De-biasing social network confounding in recommendation
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …
[PDF][PDF] Be Causal: De-biasing Social Network Confounding in Recommendation
Q LI, X WANG, Z WANG, G XU - 2022 - scholar.archive.org
Recommender systems aim to handle information explosion meanwhile to meet users'
personalized interests, which have received extensive attention from both research …
personalized interests, which have received extensive attention from both research …
[PDF][PDF] Be Causal: De-biasing Social Network Confounding in Recommendation
Q Li, X Wang, G Xu - 2018 - academia.edu
In recommendation systems, the existence of the missing-not-atrandom (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …
Be causal: De-biasing social network confounding in recommendation
Q LI, X WANG, Z WANG, G XU - ACM Transactions on …, 2023 - repository.eduhk.hk
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …
Be Causal: De-biasing Social Network Confounding in Recommendation
Q Li, X Wang, Z Wang, G Xu - ACM Transactions on Knowledge …, 2022 - opus.lib.uts.edu.au
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …
Be Causal: De-biasing Social Network Confounding in Recommendation
Q Li, X Wang, G Xu - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …
Be Causal: De-biasing Social Network Confounding in Recommendation
Q Li, X Wang, G Xu - arXiv preprint arXiv:2105.07775, 2021 - arxiv.org
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …
[PDF][PDF] Be Causal: De-biasing Social Network Confounding in Recommendation
Q LI, X WANG, Z WANG, G XU - 2018 - opus.lib.uts.edu.au
In recommendation systems, the existence of the missing-not-at-random (MNAR) problem
results in the selection bias issue, degrading the recommendation performance ultimately. A …
results in the selection bias issue, degrading the recommendation performance ultimately. A …