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cs.IR2026
Isotonic Layer: A Unified Framework for Recommendation Calibration and Debiasing
Hailing Cheng, Yafang Yang, Hemeng Tao +1
Model calibration and debiasing are fundamental yet operationally expensive challenges in large-scale recommendation systems. Existing approaches treat them as separate problems re…
cs.IR2026
Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems
Hailing Cheng
Generative Recommender Systems (GR) increasingly model user behavior as a sequence generation task by interleaving item and action tokens. While effective, this formulation introdu…
cs.IR2026
An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking
Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi +21
LinkedIn Feed enables professionals worldwide to discover relevant content, build connections, and share knowledge at scale. We present Feed Sequential Recommender (Feed SR), a tra…