Field Label Prediction for Autofill in Web Browsers
Joy Bose

TL;DR
This paper presents a machine learning approach implemented as a web service to predict form field labels, enhancing autofill features in web browsers for improved user efficiency.
Contribution
It introduces a novel machine learning solution for form label prediction, integrated as a web service using Azure ML Studio.
Findings
Improves autofill accuracy for web forms.
Reduces user effort in form filling.
Demonstrates effective deployment as a web service.
Abstract
Automatic form fill is an important productivity related feature present in major web browsers, which predicts the field labels of a web form and automatically fills values in a new form based on the values previously filled for the same field in other forms. This feature increases the convenience and efficiency of users who have to fill similar information in fields in multiple forms. In this paper we describe a machine learning solution for predicting the form field labels, implemented as a web service using Azure ML Studio.
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Taxonomy
TopicsWeb Data Mining and Analysis · Spam and Phishing Detection · Caching and Content Delivery
