Patents by Inventor Kumar Chippala

Kumar Chippala 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).

  • Methods, systems, and media for determining playlist title coherence and quality
    Patent number: 12210567
    Abstract: Methods, systems, and media for determining playlist title coherence and quality are provided. In some embodiments, a method for generating playlist recommendations includes: determining, using a hardware processor, a title of a playlist; generating, using the hardware processor, a byte-level representation of the title based on the title of the playlist; determining, using the hardware processor, an embedded representation of the title based on the byte-level representation; determining, using the hardware processor, a perplexity score of the title by inputting the embedded representation of the title into a trained language model, wherein the perplexity score is an output of the trained language model; and causing, using the hardware processor, a recommendation based on the perplexity score of the title to be presented.
    Type: Grant
    Filed: November 30, 2022
    Date of Patent: January 28, 2025
    Assignee: Google LLC
    Inventors: Ben Goodrich, Kumar Chippala
  • METHODS, SYSTEMS, AND MEDIA FOR DETERMINING PLAYLIST TITLE COHERENCE AND QUALITY
    Publication number: 20240176816
    Abstract: Methods, systems, and media for determining playlist title coherence and quality are provided. In some embodiments, a method for generating playlist recommendations includes: determining, using a hardware processor, a title of a playlist; generating, using the hardware processor, a byte-level representation of the title based on the title of the playlist; determining, using the hardware processor, an embedded representation of the title based on the byte-level representation; determining, using the hardware processor, a perplexity score of the title by inputting the embedded representation of the title into a trained language model, wherein the perplexity score is an output of the trained language model; and causing, using the hardware processor, a recommendation based on the perplexity score of the title to be presented.
    Type: Application
    Filed: November 30, 2022
    Publication date: May 30, 2024
    Inventors: Ben Goodrich, Kumar Chippala