Patents by Inventor Cole Timothy Rottweiler

Cole Timothy Rottweiler 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).

  • Object identification based on long-term user behavior and short-term interest
    Patent number: 12056134
    Abstract: The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted, and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term user interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.
    Type: Grant
    Filed: January 19, 2022
    Date of Patent: August 6, 2024
    Assignee: Pinterest, Inc.
    Inventors: Sonja Sabina Knoll, Vitaliy Kulikov, Cole Timothy Rottweiler, Raymond Hsu, Jiacheng Hong, Zheng Liu, Siyang Xie, Andrew Liu Chen, Chao Wang, Mukund Narasimhan, Lance Alan Riedel
  • OBJECT IDENTIFICATION BASED ON LONG-TERM USER BEHAVIOR AND SHORT-TERM INTEREST
    Publication number: 20220138213
    Abstract: The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted, and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term user interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.
    Type: Application
    Filed: January 19, 2022
    Publication date: May 5, 2022
    Inventors: Sonja Sabina Knoll, Vitaliy Kulikov, Cole Timothy Rottweiler, Raymond Hsu, Jiacheng Hong, Zheng Liu, Siyang Xie, Andrew Liu Chen, Chao Wang, Mukund Narasimhan, Lance Alan Riedel
  • Object identification based on long-term user behavior and short-term interest
    Patent number: 11232109
    Abstract: The described implementations are operable to determine potential objects of interest to a user based on a blend of the user's long-term behavior and short-term interests. Long term user behavior may be determined for the user over a period of time and represented as continuous data. Short-term interest may be determined based on objects with which the user has recently interacted and attributes of those objects may be represented together as continuous data corresponding to the short-term user interest. The continuous data of the short-term interest and long-term user behavior may be blended to produce a user embedding. The user embedding may then be compared with objects to determine objects that are of potential interest to the user.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: January 25, 2022
    Assignee: Pinterest, Inc.
    Inventors: Sonja Sabina Knoll, Vitaliy Kulikov, Cole Timothy Rottweiler, Raymond Hsu, Jiacheng Hong, Zheng Liu, Siyang Xie, Andrew Liu Chen, Chao Wang, Mukund Narasimhan, Lance Alan Riedel