2 papers
cs.LG2026
Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
Dingsu Wang, Filip Ryzner, Kelly He +17
As recommender systems mature in the past few years, their optimization objectives have evolved from a primary focusing on short-term behavioral signals to a broader emphasis on lo…
cs.IR2026
Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search
Han Wang, Alex Whitworth, Pak Ming Cheung +5
Relevance evaluation plays a crucial role in personalized search systems, serving as a guardrail alongside user engagement metrics to ensure that search results align with user que…