arXiv paper introduces model-agnostic downstream rewards learning for long-term user engagement optimization.
Read the original at arxiv.org→arXiv:2607.14192v1 Announce Type: new Abstract: 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...
Original headline: "Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning"