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Choosing the Right Weights: Balancing Value, Strategy, and Noise in
  Recommender Systems

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems

27 May 2023
S. Milli
Emma Pierson
Nikhil Garg
ArXivPDFHTML

Papers citing "Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems"

6 / 6 papers shown
Title
MultiScale Contextual Bandits for Long Term Objectives
MultiScale Contextual Bandits for Long Term Objectives
Richa Rastogi
Yuta Saito
Thorsten Joachims
OffRL
53
0
0
22 Mar 2025
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems
Krishna Acharya
Varun Vangala
Jingyan Wang
Juba Ziani
108
3
0
21 Feb 2025
System-2 Recommenders: Disentangling Utility and Engagement in
  Recommendation Systems via Temporal Point-Processes
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
Arpit Agarwal
Nicolas Usunier
A. Lazaric
Maximilian Nickel
47
3
0
29 May 2024
The Fault in Our Recommendations: On the Perils of Optimizing the
  Measurable
The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Omar Besbes
Yash Kanoria
Akshit Kumar
23
0
0
07 May 2024
Multi-Objective Recommendation via Multivariate Policy Learning
Multi-Objective Recommendation via Multivariate Policy Learning
Olivier Jeunen
Jatin Mandav
Ivan Potapov
Nakul Agarwal
Sourabh Vaid
Wenzhe Shi
Aleksei Ustimenko
OffRL
21
3
0
03 May 2024
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the
  Content Landscape in Online Platforms
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
Nicole Immorlica
Meena Jagadeesan
Brendan Lucier
OffRL
32
11
0
18 Jan 2024
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