Balancing unobserved confounding with a few unbiased ratings in debiased recommendations

H Li, Y Xiao, C Zheng, P Wu - Proceedings of the ACM Web Conference …, 2023 - dl.acm.org
Recommender systems are seen as an effective tool to address information overload, but it
is widely known that the presence of various biases makes direct training on large-scale …
被引用次数：29 相关文章
[PDF] easychair.org

[PDF][PDF] Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations

H Li, Y Xiao, C Zheng, P Wu - 2023 - easychair.org
Recommender systems are seen as an efective tool to address information overload, but it is
widely known that the presence of various biases makes direct training on large-scale …
[PDF] openreview.net

[PDF][PDF] Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations

H Li, Y Xiao, C Zheng, P Wu - 2023 - openreview.net
Recommender systems are seen as an effective tool to address information overload, but it
is widely known that the presence of various biases makes direct training on large-scale …

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations

H Li, Y Xiao, C Zheng, P Wu - arXiv preprint arXiv:2304.09085, 2023 - arxiv.org
Recommender systems are seen as an effective tool to address information overload, but it
is widely known that the presence of various biases makes direct training on large-scale …

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations

H Li, Y Xiao, C Zheng, P Wu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Recommender systems are seen as an effective tool to address information overload, but it
is widely known that the presence of various biases makes direct training on large-scale …

[引用][C] Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations

H Li, Y Xiao, C Zheng, P Wu - 2024 - easychair.org