2 papers
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.LG2024
LinkedIn Post Embeddings: Industrial Scale Embedding Generation and Usage across LinkedIn
Sudarshan Srinivasa Ramanujam, Akanksha Bindal, Yu Jiang +8
A post embedding (representation of text in embedding space that effectively captures semantic meaning) is a foundational component of LinkedIn that is consumed by product surfaces…