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HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation
Generative recommendation models have shown promising results by representing items as semantic IDs and generating these IDs autoregressively. We introduce an approach showing that explicitly incorporating hierarchical and attribute-level supervision into generative recommendation can simultaneously
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