A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation-Reference-Cited by-同舟云学术

A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation

Published:2022-10-17 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Wu Yuexin¹,Huang Xiaolei¹

Affiliation:

1. University of Memphis, Memphis, TN, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557341

Reference45 articles.

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5. Yin Cui , Menglin Jia , Tsung-Yi Lin , Yang Song , and Serge Belongie . 2019 . Class- Balanced Loss Based on Effective Number of Samples. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 9260--9269 . https://doi.org/10.1109/CVPR.2019.00949 10.1109/CVPR.2019.00949 Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, and Serge Belongie. 2019. Class- Balanced Loss Based on Effective Number of Samples. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, Unite State, 9260--9269. https://doi.org/10.1109/CVPR.2019.00949

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