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Preference Is Not Permission: Personalizing the Auto-Purchase Line in Agentic Commerce

Shimizu, Ryotaro et al.
arXiv (All) · Papers
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computation-and-languagehuman-computer-interactioninformation-retrievalmachine-learning
Personalized shopping benchmarks ask which item fits the user; we ask how far an agent may commit on that item, and pose learning the individual's auto-purchase line as a task. The boundary is evidence-conditioned and three-valued: whether committing is appropriate depends on the sufficiency of prod
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