Patents by Inventor Simerpreet KAUR

Simerpreet KAUR 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).

  • Suggesting resources using a latency-efficient machine-trained ranking model
    Patent number: 12711431
    Abstract: A technique suggests resources within a particular environment. The technique operates by receiving a query via a search interface presentation, and using a prefix tree data structure to retrieve candidate resource descriptors that match the query. The candidate resource descriptors are data items that describe different types of candidate resources. The technique further includes: generating feature information that describes the candidate resource descriptors; using a machine-trained ranking model to generate scores associated with the candidate resource descriptors, based on the feature information; sorting the candidate resource descriptors based on the scores, to provide sorted resource descriptors; and generating output information that represents a selected set of resource descriptors drawn from the sorted resource descriptors, for presentation via the search interface presentation.
    Type: Grant
    Filed: September 15, 2023
    Date of Patent: August 18, 2026
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Homa Baradaran Hashemi, Bing Li, Wenjin Xu, Upul Asanka Samarawickrama Liyanage, Simerpreet Kaur
  • Suggesting Resources using a Latency-Efficient Machine-Trained Ranking Model
    Publication number: 20250094882
    Abstract: A technique suggests resources within a particular environment. The technique operates by receiving a query via a search interface presentation, and using a prefix tree data structure to retrieve candidate resource descriptors that match the query. The candidate resource descriptors are data items that describe different types of candidate resources. The technique further includes: generating feature information that describes the candidate resource descriptors; using a machine-trained ranking model to generate scores associated with the candidate resource descriptors, based on the feature information; sorting the candidate resource descriptors based on the scores, to provide sorted resource descriptors; and generating output information that represents a selected set of resource descriptors drawn from the sorted resource descriptors, for presentation via the search interface presentation.
    Type: Application
    Filed: September 15, 2023
    Publication date: March 20, 2025
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Homa BARADARAN HASHEMI, Bing LI, Wenjin XU, Upul Asanka SAMARAWICKRAMA LIYANAGE, Simerpreet KAUR