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.IR2024
Improving feature interactions at Pinterest under industry constraints
Siddarth Malreddy, Matthew Lawhon, Usha Amrutha Nookala +2
Adopting advances in recommendation systems is often challenging in industrial settings due to unique constraints. This paper aims to highlight these constraints through the lens o…