Patents by Inventor SAMEER GIROLKAR

SAMEER GIROLKAR 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).

  • Publication number: 20250036638
    Abstract: A content retrieval system may receive a query associated with a plurality of content items in a repository. For each content item of the plurality of content items: a respective first and second similarity score may be generated based on a similarity between embeddings indicative of a first and second data type generated from the query and for the content item; and a respective normalized similarity score may be generated based on a combination of the respective first and second similarity scores. A set of content items with respective normalized similarity scores that satisfy a similarity score threshold may be identified. An exact-match (lexical) search may yield respective mapping scores for content items that may also be ranked. An output indicative of content items that are identified in the set of content items with high-ranking similarity scores and identified in the set of content items with high-ranking mapping scores.
    Type: Application
    Filed: October 10, 2024
    Publication date: January 30, 2025
    Applicant: ROKU, INC.
    Inventors: Peter Martigny, Fedor Bartosh, Danish Shaikh, Vinh Nguyen, Manasi Deshmukh, Ratul Ray, Nitish Aggarwal, Srimaruti Manoj Nimmagadda, Kapil Kumar, Sameer Girolkar
  • Patent number: 12153588
    Abstract: A content retrieval system may receive a query associated with a plurality of content items in a repository. For each content item of the plurality of content items: a respective first and second similarity score may be generated based on a similarity between embeddings indicative of a first and second data type generated from the query and for the content item; and a respective normalized similarity score may be generated based on a combination of the respective first and second similarity scores. A set of content items with respective normalized similarity scores that satisfy a similarity score threshold may be identified. An exact-match (lexical) search may yield respective mapping scores for content items that may also be ranked. An output indicative of content items that are identified in the set of content items with high-ranking similarity scores and identified in the set of content items with high-ranking mapping scores.
    Type: Grant
    Filed: February 10, 2023
    Date of Patent: November 26, 2024
    Assignee: ROKU, INC.
    Inventors: Peter Martigny, Fedor Bartosh, Danish Shaikh, Vinh Nguyen, Manasi Deshmukh, Ratul Ray, Nitish Aggarwal, Srimaruti Manoj Nimmagadda, Kapil Kumar, Sameer Girolkar
  • Publication number: 20240273105
    Abstract: A content retrieval system may receive a query associated with a plurality of content items in a repository. For each content item of the plurality of content items; a respective first and second similarity score may be generated based on a similarity between embeddings indicative of a first and second data type generated from the query and for the content item; and a respective normalized similarity score may be generated based on a combination of the respective first and second similarity scores. A set of content items with respective normalized similarity scores that satisfy a similarity score threshold may be identified. An exact-match (lexical) search may yield respective mapping scores for content items that may also be ranked. An output indicative of content items that are identified in the set of content items with high-ranking similarity scores and identified in the set of content items with high-ranking mapping scores.
    Type: Application
    Filed: February 10, 2023
    Publication date: August 15, 2024
    Inventors: PETER MARTIGNY, FEDOR BARTOSH, DANISH SHAIKH, VINH NGUYEN, MANASI DESHMUKH, RATUL RAY, NITISH AGGARWAL, SRIMARUTI MANOJ NIMMAGADDA, KAPIL KUMAR, SAMEER GIROLKAR