System and method for machine learning architecture for electronic field autofill

Abstract

Approaches are proposed herein for machine learning based electronic field autofill. In particular, machine learning approaches are utilized to estimate inputs for entry into fields. The machine learning approach described herein includes a proposed feature engineering approach where collected data obtained from various webpages (e.g., checkout pages) is encoded for training and inference. The approach is particularly useful in respect of providing a machine learning mechanism that is resilient in spite of inconsistent and varying approaches of implementing form fields.