ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.07204
  4. Cited By
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning

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

28 June 2020
Wenhui Yu
Zheng Qin
    NoLa
ArXivPDFHTML

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
26
14
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
1