Patents by Inventor Christopher Larry

Christopher Larry 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: 11314790
    Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: April 26, 2022
    Assignee: salesforce.com, inc.
    Inventors: Son Thanh Chang, Weiping Peng, Na Cheng, Feifei Jiang, Jacob Nathaniel Huffman, Nandini Suresh Kumar, Khoa Le, Christopher Larry
  • Publication number: 20210149933
    Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.
    Type: Application
    Filed: April 28, 2020
    Publication date: May 20, 2021
    Applicant: salesforce.com, Inc.
    Inventors: Son Thanh Chang, Weiping Peng, Na Cheng, Feifei Jiang, Jacob Nathaniel Huffman, Nandini Suresh Kumar, Khoa Le, Christopher Larry