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Beyond Personalization: Research Directions in Multistakeholder
  Recommendation
v1v2 (latest)

Beyond Personalization: Research Directions in Multistakeholder Recommendation

1 May 2019
Himan Abdollahpouri
G. Adomavicius
Robin Burke
Ido Guy
Dietmar Jannach
Toshihiro Kamishima
Jan Krasnodebski
L. Pizzato
ArXiv (abs)PDFHTML

Papers citing "Beyond Personalization: Research Directions in Multistakeholder Recommendation"

5 / 5 papers shown
Title
MultiScale Contextual Bandits for Long Term Objectives
MultiScale Contextual Bandits for Long Term Objectives
Richa Rastogi
Yuta Saito
Thorsten Joachims
OffRL
80
0
0
22 Mar 2025
What are you optimizing for? Aligning Recommender Systems with Human
  Values
What are you optimizing for? Aligning Recommender Systems with Human Values
J. Stray
Ivan Vendrov
Jeremy Nixon
Steven Adler
Dylan Hadfield-Menell
OffRL
55
55
0
22 Jul 2021
Algorithmic Fairness
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
89
395
0
21 Jan 2020
Measuring the Business Value of Recommender Systems
Measuring the Business Value of Recommender Systems
Dietmar Jannach
Michael Jugovac
OffRL
58
175
0
22 Aug 2019
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation
  and Comparison
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
M. Mansoury
B. Mobasher
Robin Burke
Mykola Pechenizkiy
FaML
34
34
0
02 Aug 2019
1