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This paper presents JD Oxygen AI Item Center (Oxygen AIIC), an industrial-scale platform leveraging LLMs/VLMs for item knowledge production and service, achieving high precision and recall, and delivering measurable gains in search, recommendation, and operations on JD.com.
PEARL introduces a contrastive percentile approximation framework to mitigate behavioral intensity imbalance in recommender systems, achieving significant gains in engagement metrics in a production livestream platform serving billions of users.