Contributions

All accepted contributions in alphabetical order:

• Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior  [arXiv]
  Kosuke Iguchi and Ren Kishimoto

• Auditing Return Conditioning as a Control Knob: An Offline Diagnostic for Decision Transformer Recommendation [arXiv]
  Jingyu Wang

• Between-User Collapse Under Popularity-Biased Feedback: A Centered-Covariance Theorem and Computable Phase Boundary [arXiv]
  Sahil Medepalli

• Beyond Raw Engagement: A Counterfactual Observability Framework for Recommender Systems at Netflix  [arXiv]
  Chaoran Guo, Ding Tong, Ting-Po Lee and Scarlet Chen

• Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces [arXiv]
  Jingwei Kang, Maarten de Rijke and Harrie Oosterhuis

• From Prompting to Behavioral Alignment: Personalized LLM Judges for Recommendation Evaluation [arXiv]
  Alireza Salkhordeh Ziabari, Kat Ellis, Colleen Chan and Ding Tong

• Incremental Recommendation via Causal Models  [arXiv]
  Athanasios Vlontzos, David Gustafsson, Michael O'Riordan and Ciarán Gilligan-Lee

• Medical Causal Hypothesis Verification with Large Language Models [arXiv]
  Safiyyah Ahmed, Abrar Ansari, Md Aminul Islam and Elena Zheleva

• Off-Policy Evaluation for Semantic ID Recommenders: Does the Model’s Own Code Hierarchy Help? [arXiv]
  Artem Betlei

• Revisiting N2DCG: An Empirically Grounded Reformulation of Carousel Recommendation Evaluation [arXiv]
  Jingwei Kang, Santiago de Leon-Martinez, Maarten de Rijke and Harrie Oosterhuis

• Risk Optimization for Learning to Rank through Portfolio Theory [pdf]
  Oscar Ramirez Milian and Harrie Oosterhuis

• Stageboost: Recommending Signals based on Counterfactual Estimations [arXiv]
  Darpan Singhal, Matan Mandelbrod, Tal Franji, Manasa Kolla, Vipul Gaba and Yuri Brovman