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

From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference arXiv:2606.11207v1 Announce Type: cross 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 predictors that optimise solely for accuracy, SemantiClea