Patents by Inventor Andrew Ouyang

Andrew Ouyang 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: 11720595
    Abstract: Methods, systems, and devices for generating a query using training observations are described. According to the techniques described herein, a device (e.g., an application server) may receive a set of queries including a set of fields in a tenant-specific dataset associated with the query. The device may generate a set of training observations for the queries based on the set of fields. The device then trains a first machine learning model to determine grouping hierarchies and a second machine learning model to determine aggregation predictions. The device then builds a combined machine learning model based on the determined grouping hierarchies and the aggregation predictions. According to techniques described herein, the device uses the determined grouping hierarchies and the aggregation predictions to rank a set of suggested queries determined in response to an input query and selects a suggested query for display based on the ranking.
    Type: Grant
    Filed: October 16, 2020
    Date of Patent: August 8, 2023
    Assignee: Salesforce, Inc.
    Inventors: Zuye Zheng, Scott Musser, Raghav Ravichandran, Asra Yousuf, Meghana Ashok, Andrew Ouyang, Aditya Kochhar
  • Publication number: 20220121685
    Abstract: Methods, systems, and devices for generating a query using training observations are described. According to the techniques described herein, a device (e.g., an application server) may receive a set of queries including a set of fields in a tenant-specific dataset associated with the query. The device may generate a set of training observations for the queries based on the set of fields. The device then trains a first machine learning model to determine grouping hierarchies and a second machine learning model to determine aggregation predictions. The device then builds a combined machine learning model based on the determined grouping hierarchies and the aggregation predictions. According to techniques described herein, the device uses the determined grouping hierarchies and the aggregation predictions to rank a set of suggested queries determined in response to an input query and selects a suggested query for display based on the ranking.
    Type: Application
    Filed: October 16, 2020
    Publication date: April 21, 2022
    Inventors: Zuye Zheng, Scott Musser, Raghav Ravichandran, Asra Yousuf, Meghana Ashok, Andrew Ouyang, Aditya Kochhar