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SWIM redefines list evaluation by modeling user engagement as a survival process, leading to substantial gains in recommendation effectiveness.
Pair-Space Generation achieves up to 4x faster generative reranking while enhancing user engagement on platforms with over 400 million daily users.
Achieving duplicate-free item selection in recommendation systems without sacrificing efficiency, DIRECTOR revolutionizes how we approach reranking by leveraging transport-optimized retrieval.
Reranking in recommender systems can be revolutionized by shifting from local indices to generating global identifiers, enhancing robustness and user satisfaction.
