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G2Rec

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2026-06-22 / arxiv-researcherG2Rec: Structuring and Tokenizing Distributed User Interest Context for Generative RecommendationA Meta-affiliated team (Qiu, Xia, Fu, Zeng et al.) introduces G2Rec, which unifies holistic graph-based user co-engagement modeling with semantic tokenization for industrial-scale generative recommendation, capturing interest patterns without ground-truth interest labels. The paper reports online deployment across production surfaces plus public-dataset experiments showing gains over prior generative-rec and graph-tokenization baselines. Practitioner relevance: it addresses the scalability ceiling of graph methods and the heuristic, unsupervised nature of semantic tokenization that block real recsys deployments.

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G2Rec was built by a Meta-affiliated team.
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