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

arXiv cs.AI · 2026-06-11 Cached

Presents SemantiClean, a modular framework for extracting structured semantic signals from e-commerce session data to drive pluggable inference targets (purchase intent, customer segmentation, product affinity) while prioritizing auditability and structural transparency over pure accuracy.

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