Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
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 long-term user engagement and retention. However, directly optimizing retention is difficult because return signals are sparse, delayed, and o...
Dingsu Wang, Filip Ryzner, Kelly He et al.
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