Contributions

All accepted contributions in alphabetical order:

• ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems [arXiv]
  Daryl Chang, Yi Wu, Jennifer She, Li Wei and Lukasz Heldt

• Adaptive Orchestration of Modular Generative Information Access Systems [arXiv]
  Mohanna Hoveyda, Harrie Oosterhuis, Arjen P. de Vries, Maarten de Rijke and Faegheh Hasibi

• Adaptive Preference Aggregation for Recommender Systems [pdf]
  Benjamin Heymann

• Algorithm Adaptation Bias in Recommendation System Online Experiments  [arXiv]
  Chen Zheng and Zhenyu Zhao

• Calibrated Recommendations with Contextual Bandits [arXiv]
  Diego Feijer, Himan Abdollahpouri, Sanket Gupta, Alexander Clare, Yuxiao Wen, Maria Dimakopoulou, Zahra Nazari, Kyle Kretschman, Mounia Lalmas and Todd Wasson

• Confounding is a Pervasive Problem in Real World Recommender Systems  [arXiv]
  Alexander Merkov, David Rohde, Alexandre Gilotte and Benjamin Heymann

• Counterfactual Risk Minimization with IPS-Weighted BPR and Self-Normalized Evaluation in Recommender Systems [arXiv]
  Rahul Raja and Arpita Vats

• Direct Profit Estimation Using Uplift Modeling under Cluster Network Interference [arXiv]
  Bram van den Akker

• Epistemic Click Models Through Evidential Deep Learning [pdf]
  Oscar Ramirez Milian and Harrie Oosterhuis

• Investigating Action Embeddings for More Efficient Off-Policy Evaluation [pdf]
  Maxime Wabartha, Kevin H. Wilson, R. David Evans, Hossein Sharifi-Noghabi and Tristan Sylvain

• LLMs for estimating positional bias in logged interaction data [arXiv]
  Aleksandr Vladimirovich Petrov, Michael Murtagh and Karthik Nagesh

• Non-Linear Counterfactual Aggregate Optimization [arXiv]
  Benjamin Heymann and Otmane Sakhi

• Offline Contextual Bandit with Counterfactual Sample Identification [pdf]
  Alexandre Gilotte, Otmane Sakhi, Imad Aouali and Benjamin Heymann

• Off-Policy Learning for Diversity-aware Candidate Retrieval in Two-stage Decisions [pdf]
  Haruka Kiyohara, Rayhan Khanna and Thorsten Joachims

• Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation [arXiv]
  Imad Aouali and Otmane Sakhi

• Optimal signals assignment for eBay VI page
  Matan Mandelbrod and Guy Feigenblat

• RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces [arXiv]
  Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke, Branislav Kveton, Harrie Oosterhuis and Maria Bielikova

• Sample-Free Almost-Exact Estimation of Plackett-Luce Propensities for Off-Policy Ranking Estimators [pdf]
  Norman Knyazev and Harrie Oosterhuis

• Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank [arXiv]
  Philipp Hager, Onno Zoeter and Maarten de Rijke