This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Lisa Michelle Jakobovits and Machine-Learned User Interface Customization.
Introduction
Lisa Michelle Jakobovits is an inventor based in San Carlos, California. Her patent work concerns machine-learning methods for improving how user interfaces are populated with input elements.
Latest Patents
Jakobovits is associated with 1 patent, titled “Training Pipeline for Training Machine-Learned User Interface Customization Models.” The invention describes a method that analyzes data from user sessions, including interactions with interface elements and requests for related resources. A first machine-learned model assigns weights that estimate how rendering an input element affects the probability of a request. Those weights are then used to update a second model, helping optimize candidate proposals for a real-time content-selection process.
Career Highlights
Jakobovits is associated with Google Inc. Her patent reflects work on applying machine learning to user-interface customization and content selection.
Collaborations
The patent lists Xinlong Bao and Mert Dikmen among Jakobovits’s coworkers.
Conclusion
Lisa Michelle Jakobovits’s patent focuses on a training pipeline that uses user-session data and machine-learning models to support more effective user-interface customization.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile