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Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning

Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning

Wenhui Yu
Zheng Qin
    NoLa
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Papers citing "Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning"

4 / 4 papers shown
Title
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu
Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
30
2
0
15 Oct 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Seongmin Park
Mincheol Yoon
Jae-woong Lee
Hogun Park
Jongwuk Lee
24
13
0
11 Aug 2023
Learning Robust Recommender from Noisy Implicit Feedback
Learning Robust Recommender from Noisy Implicit Feedback
Wenjie Wang
Fuli Feng
Xiangnan He
Liqiang Nie
Tat-Seng Chua
NoLa
25
3
0
02 Dec 2021
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Meng Wang
BDL
CML
13
16
0
16 May 2021