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Explaining Latent Factor Models for Recommendation with Influence
  Functions

Explaining Latent Factor Models for Recommendation with Influence Functions

20 November 2018
Weiyu Cheng
Yanyan Shen
Yanmin Zhu
Linpeng Huang
ArXivPDFHTML

Papers citing "Explaining Latent Factor Models for Recommendation with Influence Functions"

4 / 4 papers shown
Title
Debiased Explainable Pairwise Ranking from Implicit Feedback
Debiased Explainable Pairwise Ranking from Implicit Feedback
Khalil Damak
Sami Khenissi
O. Nasraoui
13
16
0
30 Jul 2021
Counterfactual Explanations for Neural Recommenders
Counterfactual Explanations for Neural Recommenders
Khanh Tran
Azin Ghazimatin
Rishiraj Saha Roy
AAML
CML
52
65
0
11 May 2021
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CML
ELM
XAI
27
212
0
09 Mar 2020
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
32
863
0
30 Apr 2018
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