long-term user engagement 1model-agnostic methods 1offline screening 1recommender systems 1reward learning 1user retention 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
cs.IR2026
A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems
Yichu Zhou, Mehdi Ben Ayed, Lin Yang +9
Large-scale recommenders encode multi-objective trade-offs by combining multiple predicted outcomes into a single utility score. Although this utility layer can be updated independ…