3 papers
cs.IR2026
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
Haruka Kiyohara, Mihaela Curmei, Ariel Evnine +7
Large-scale search, recommendation, and retrieval-augmented generation (RAG) systems typically employ a two-stage architecture: an early-stage ranker (ESR) generates a candidate se…
eess.SY2026
Recommender Systems as Control Systems
Giulia De Pasquale, Sarah Dean, Paolo Frasca
We propose a control-theoretic interpretation of recommender systems and use this perspective to analyze how fairness interventions shape long-term system behavior. Fairness concer…
cs.IR2025
Datasets for Navigating Sensitive Topics in Recommendation Systems
Amelia Kovacs, Jerry Chee, Kimia Kazemian +1
Personalized AI systems, from recommendation systems to chatbots, are a prevalent method for distributing content to users based on their learned preferences. However, there is gro…