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.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…