Patents by Inventor Seiji J. Yamamoto

Seiji J. Yamamoto 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).

  • Multi-tenant, metadata-driven recommendation system
    Patent number: 11983184
    Abstract: A method for generating a model for recommendations from an item data set for a target data set includes embedding a set of targets from the target data set in a shared coordinate space using a first embedding function, embedding a first set of items from the item data set in the shared coordinate space using a second embedding function, selecting at least one target from the set of targets, and identifying a second set of items from the first set of items that are proximate to the at least one target as candidates from the recommendations.
    Type: Grant
    Filed: October 7, 2021
    Date of Patent: May 14, 2024
    Assignee: Salesforce, Inc.
    Inventors: Kin Fai Kan, Chaney Lin, Mayukh Bhaowal, Shubha Nabar, Seiji J. Yamamoto
  • MULTI-TENANT, METADATA-DRIVEN RECOMMENDATION SYSTEM
    Publication number: 20230110057
    Abstract: A method for generating a model for recommendations from an item data set for a target data set includes embedding a set of targets from the target data set in a shared coordinate space using a first embedding function, embedding a first set of items from the item data set in the shared coordinate space using a second embedding function, selecting at least one target from the set of targets, and identifying a second set of items from the first set of items that are proximate to the at least one target as candidates from the recommendations.
    Type: Application
    Filed: October 7, 2021
    Publication date: April 13, 2023
    Applicant: salesforce.com, inc.
    Inventors: Kin Fai Kan, Chaney Lin, Mayukh Bhaowal, Shubha Nabar, Seiji J. Yamamoto