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Instead of rebuilding the entire recommendation stack from scratch, LIGE-GR generalizes the existing pointwise recommendation system into a listwise generation system, which allows mature recommender systems to benefit from listwise optimization while preserving compatibility with existing models, value functions, and serving infrastructure.
SlimPer achieves deeper relevance understanding in recommendation systems without the computational bloat, leading to measurable boosts in user engagement on platforms like Instagram.
