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Toward a Better Understanding of Loss Functions for Collaborative Filtering
11 August 2023
Seongmin Park
Mincheol Yoon
Jae-woong Lee
Hogun Park
Jongwuk Lee
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Papers citing
"Toward a Better Understanding of Loss Functions for Collaborative Filtering"
6 / 6 papers shown
Title
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
Miaomiao Cai
Lei Chen
Yifan Wang
Zhiyong Cheng
M. Zhang
Meng Wang
41
0
0
30 Mar 2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
Xi Wu
Dan Zhang
Chao Zhou
Liangwei Yang
Tianyu Lin
Jibing Gong
44
0
0
24 Mar 2025
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
Donald Loveland
Xinyi Wu
Tong Zhao
Danai Koutra
Neil Shah
Mingxuan Ju
34
1
0
15 Oct 2024
SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering
Xiaodong Yang
Huiyuan Chen
Yuchen Yan
Yuxin Tang
Yuying Zhao
Eric Xu
Yiwei Cai
Hanghang Tong
18
3
0
23 Jun 2024
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Miaomiao Cai
Lei Chen
Yifan Wang
Haoyue Bai
Peijie Sun
Le Wu
Min Zhang
Meng Wang
21
10
0
31 May 2024
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun Dong
Jundong Li
Tobias Schnabel
38
9
0
02 May 2023
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