Patents by Inventor Gregory Andrew OLMSTEAD

Gregory Andrew OLMSTEAD has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12141527
    Abstract: An expert system processes communication data to extract entities and topics. The expert system generates relationship graphs and relationship scores between the entities and topics. The system can identify entities that are expert in a given topic. The expert system uses a knowledge engine to provide different services and applications.
    Type: Grant
    Filed: August 16, 2018
    Date of Patent: November 12, 2024
    Assignee: ROYAL BANK OF CANADA
    Inventors: Gregory Andrew Olmstead, Eric Rumfels, Aditi Miglani, Sahba Ezami, Ada Cristiana Ene, Dhanush Dharmaretnam, Stephen Bain
  • Publication number: 20190057310
    Abstract: An expert system processes communication data to extract entities and topics. The expert system generates relationship graphs and relationship scores between the entities and topics. The system can identify entities that are expert in a given topic. The expert system uses a knowledge engine to provide different services and applications.
    Type: Application
    Filed: August 16, 2018
    Publication date: February 21, 2019
    Inventors: Gregory Andrew Olmstead, Eric Rumfels, Aditi Miglani, Sahba Ezami, Ada Cristiana Ene, Dhanush Dharmaretnam, Stephen Bain
  • Patent number: 10032450
    Abstract: In accordance with an aspect, there is provided a system and method for electronic communications that involves machine learning and natural language processing for contact relationship discovery, ranking and retrieval. In accordance with an aspect, there is provided a system and device that discovers contacts related to user search terms, quantitatively measures and ranks the strength between contact relationships according to a score calculated by natural language processing and machine learning. The system generates visual effects to present recommendations to the user with multiple alternate route options to establish relationships between contacts.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: July 24, 2018
    Assignee: ROYAL BANK OF CANADA
    Inventors: Gregory Andrew Olmstead, Burcu Kilic, David Yum Kei Leung, Amit Sharma, Yehui Zhang
  • Publication number: 20180082678
    Abstract: In accordance with an aspect, there is provided a system and method for electronic communications that involves machine learning and natural language processing for contact relationship discovery, ranking and retrieval. In accordance with an aspect, there is provided a system and device that discovers contacts related to user search terms, quantitatively measures and ranks the strength between contact relationships according to a score calculated by natural language processing and machine learning. The system generates visual effects to present recommendations to the user with multiple alternate route options to establish relationships between contacts.
    Type: Application
    Filed: April 7, 2017
    Publication date: March 22, 2018
    Inventors: Gregory Andrew OLMSTEAD, Burcu KILIC, David Yum Kei LEUNG, Amit SHARMA, Yehui ZHANG