BEATS generates and validates e-commerce attribute taxonomies from category-only catalogs via multi-stage LLM pipelines refined by human feedback, yielding measurable gains in dense retrieval models.
arXiv preprint arXiv:2309.05920 , year=
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Oxygen AIIC is an industrial platform using LLMs and VLMs for scalable item knowledge production and service at JD.com, reporting 94.2% precision and 82.8% recall along with business metric improvements.
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BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration
BEATS generates and validates e-commerce attribute taxonomies from category-only catalogs via multi-stage LLM pipelines refined by human feedback, yielding measurable gains in dense retrieval models.
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JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications
Oxygen AIIC is an industrial platform using LLMs and VLMs for scalable item knowledge production and service at JD.com, reporting 94.2% precision and 82.8% recall along with business metric improvements.