Patents by Inventor Chaney Lin

Chaney Lin 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
  • Controlled design of localized states in photonic quasicrystals
    Patent number: 11733429
    Abstract: This invention relates generally to the field of quasicrystalline structures.
    Type: Grant
    Filed: April 23, 2019
    Date of Patent: August 22, 2023
    Assignee: THE TRUSTEES OF PRINCETON UNIVERSITY
    Inventors: Chaney Lin, Paul J. Steinhardt, Salvatore Torquato
  • 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
  • DATABASE SYSTEMS AND METHODS OF NAMING RECORD GROUPS
    Publication number: 20230092702
    Abstract: Database systems and methods are provided for assigning structural metadata to records and creating automations using the structural metadata. One method of assigning structural metadata to a group of records involves determining, based on one or more fields of metadata associated with the records, a plurality of candidate names, wherein each candidate name of the plurality of candidate names corresponds to semantic content of the one or more fields of a respective record of the group of records, for each candidate name, assigning a name relevance score based on respective word relevance scores assigned to respective words of the respective candidate name based on usage, selecting a candidate name in a manner that is influenced by the respective name relevance scores assigned to the respective candidate names and automatically assigning a name to the group of records using the candidate name.
    Type: Application
    Filed: September 19, 2022
    Publication date: March 23, 2023
    Applicant: Salesforce, Inc.
    Inventors: Yixin Mao, Tian Xie, Chaney Lin, Chen Xing, Zachary Alexander, Wenhao Liu
  • CONTROLLED DESIGN OF LOCALIZED STATES IN PHOTONIC QUASICRYSTALS
    Publication number: 20210072424
    Abstract: This invention relates generally to the field of quasicrystalline structures.
    Type: Application
    Filed: April 23, 2019
    Publication date: March 11, 2021
    Inventors: Chaney Lin, Paul J. Steinhardt, Salvatore Torquato