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From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference

Liu hung ming
Thursday at 04:00
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arXiv:2606.11207v1 Announce Type: new Abstract: We present SemantiClean, a modular framework for extracting structured semantic signals from e-commerce session data and driving pluggable inference targets including purchase intent, customer segmentation, and product affinity through a shared element library. Unlike conventional end-to-end...

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