long-term user engagement 1model-agnostic methods 1offline screening 1recommender systems 1reward learning 1user retention 1
From the 1 of 2 papers with an AI index.
2 papers
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…
cs.LG2026
Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
Dingsu Wang, Filip Ryzner, Kelly He +17
The paper proposes a model‑agnostic framework that learns downstream reward signals from early observable user actions to optimize long‑term engagement and retention in large‑scale…