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Correcting Exposure Bias for Link Recommendation

Correcting Exposure Bias for Link Recommendation

13 June 2021
Shantanu Gupta
Hao Wang
Zachary Chase Lipton
Bernie Wang
    CML
ArXivPDFHTML

Papers citing "Correcting Exposure Bias for Link Recommendation"

6 / 6 papers shown
Title
Towards Individual and Multistakeholder Fairness in Tourism Recommender
  Systems
Towards Individual and Multistakeholder Fairness in Tourism Recommender Systems
Ashmi Banerjee
Paromita Banik
Wolfgang Wörndl
21
11
0
05 Sep 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Zhihan Gao
Xingjian Shi
Boran Han
Hongya Wang
Xiaoyong Jin
Danielle C. Maddix
Yi Zhu
Mu Li
Bernie Wang
BDL
DiffM
32
55
0
19 Jul 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and
  Mitigation
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
21
7
0
18 Jan 2023
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting
  Graph Neural Networks
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Wanyu Lin
Hao Lan
Hao Wang
Baochun Li
BDL
CML
31
50
0
29 Mar 2022
Deconfounded Causal Collaborative Filtering
Deconfounded Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Shelby Heinecke
Jia Li
Yongfeng Zhang
CML
27
40
0
14 Oct 2021
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
169
312
0
30 Oct 2017
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