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Investigating the Robustness of Sequential Recommender Systems Against
  Training Data Perturbations

Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations

24 July 2023
Filippo Betello
F. Siciliano
Pushkar Mishra
Fabrizio Silvestri
    AAML
ArXivPDFHTML

Papers citing "Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations"

3 / 3 papers shown
Title
Explainability in Music Recommender Systems
Explainability in Music Recommender Systems
Darius Afchar
Alessandro B. Melchiorre
Markus Schedl
Romain Hennequin
Elena V. Epure
Manuel Moussallam
21
48
0
25 Jan 2022
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
100
228
0
21 Apr 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
146
136
0
13 Jan 2021
1