Systems and Processes for Automated Collection of Data from Third-Party Applications for Predictive and Adaptive Utility-Based Personal Assistance (US12511533B1)

Abstract

Disclosed are systems and processes for intelligent, adaptive, and utility-based personal assistance. The system can self-curate a knowledge graph based on communication artifacts and evidence received from a user, and from one or more user accounts at third-party applications. The system can extract linguistic content from the communication artifacts. The system can process the linguistic content to identify entities, entity properties, and intentions corresponding to the communication artifacts. The system can determine a contextual meaning of the linguistic content based on data corresponding to entities stored within the knowledge graph. The system can delegate artificial intelligent agents to perform actions on behalf of users based on the communication artifacts.

Type
Publication
United States Patent and Trademark Office
David A. Bader
David A. Bader
Distinguished Professor and Director of the Institute for Data Science

David A. Bader is a Distinguished Professor in the Department of Computer Science at New Jersey Institute of Technology.