Patents by Inventor Chifeng Wen

Chifeng Wen 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: 12380100
    Abstract: A method for evaluating an interpretation for a search query is disclosed. The method includes receiving, by one or more processing circuits, a training dataset. The method includes training a first model utilizing the training dataset. The first model is trained to evaluate whether a human interpretation for a search query is correct. The method includes receiving a search query and a human interpretation for the search query. The method includes determining an initial evaluation of whether the human interpretation for the search query is correct utilizing the first model. The method includes generating a second model utilizing the initial evaluation from the first model, temporal features relating to the search query, and cluster features relating to the search query, and determining a final evaluation of whether the human interpretation for the search query is correct utilizing the second model.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: August 5, 2025
    Assignee: GOOGLE LLC
    Inventors: Jeffrey Bergman, Pavlo Poliakov, Matthew William Dawson, Kevin Rothi, Chifeng Wen
  • Publication number: 20230334045
    Abstract: A method for evaluating an interpretation for a search query is disclosed. The method includes receiving, by one or more processing circuits, a training dataset. The method includes training a first model utilizing the training dataset. The first model is trained to evaluate whether a human interpretation for a search query is correct. The method includes receiving a search query and a human interpretation for the search query. The method includes determining an initial evaluation of whether the human interpretation for the search query is correct utilizing the first model. The method includes generating a second model utilizing the initial evaluation from the first model, temporal features relating to the search query, and cluster features relating to the search query, and determining a final evaluation of whether the human interpretation for the search query is correct utilizing the second model.
    Type: Application
    Filed: December 10, 2020
    Publication date: October 19, 2023
    Inventors: Jeffrey Bergman, Pavlo Poliakov, Matthew William Dawson, Kevin Rothi, Chifeng Wen