Microsoft Technology Licensing, LLC

Dheeraj Mehta

Sean O Lyndersay

David Joel Sheldon

Paul Baecke

Malik Mehdi Pradhan

Daniel Hill

Nathan Novielli

Yan Zhong

Representative embodiments disclose mechanisms to improve the perceived responsiveness of a search engine. As a user types a query prefix into a browser or other interface to the search engine, the search engine returns query completion suggestions to the browser. The query completion suggestions, user history, user favorites and/or other information are presented to a trained machine learning model on the client device to predict a desired location that the user is attempting to navigate to. When the confidence level of the predicted location surpasses a threshold, content from the desired location is preloaded into a hidden tab in the browser. When the user submits a query, the browser submits feedback to a system responsible for updating and refining the machine learning model. Updated machine learning model coefficients can be received by the browser from the system to make predictions more accurate.

Machine learning model to preload search results

Growing community of inventors

Redmond, WA, United States of America

Dheeraj Mehta