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2102.00482
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Improving Accountability in Recommender Systems Research Through Reproducibility
User modeling and user-adapted interaction (UMUAI), 2021
31 January 2021
Alejandro Bellogín
A. Said
Re-assign community
ArXiv (abs)
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Papers citing
"Improving Accountability in Recommender Systems Research Through Reproducibility"
7 / 7 papers shown
DS4RS: Community-Driven and Explainable Dataset Search Engine for Recommender System Research
Xinyang Shao
Tri Kurniawan Wijaya
94
0
0
13 Aug 2025
Early Explorations of Recommender Systems for Physical Activity and Well-being
Alan Said
HAI
57
0
0
11 Aug 2025
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
ACM Conference on Recommender Systems (RecSys), 2023
Vito Walter Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
Tommaso Di Noia
E. Sciascio
336
17
0
01 Aug 2023
Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education
Dagstuhl Reports (DR), 2023
Christine Bauer
Ben Carterette
Nicola Ferro
N. Fuhr
3DV
282
5
0
18 Apr 2023
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
287
68
0
21 Sep 2022
SIERRA: A Modular Framework for Research Automation and Reproducibility
John Harwell
Maria Gini
156
1
0
16 Aug 2022
Fairness in Recommender Systems: Research Landscape and Future Directions
Yashar Deldjoo
Dietmar Jannach
Alejandro Bellogín
Alessandro Difonzo
Dario Zanzonelli
OffRL
FaML
516
151
0
23 May 2022
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