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.IR2025
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
Weijie Jiang, Armando Ordorica, Jaewon Yang +3
User retention is a critical objective for online platforms like Pinterest, as it strengthens user loyalty and drives growth through repeated engagement. A key indicator of retenti…