Patents by Inventor Scott Khamphoune

Scott Khamphoune 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).

  • User interface for optimizing digital page
    Patent number: 10809892
    Abstract: Techniques for improving the accuracy, relevancy, and efficiency of a computer system of an online service by providing a user interface to optimize a digital page of a user on the online service are disclosed herein. In some embodiments, a computer system identifies job postings published on an online service as corresponding to a type of job based on feature data of each one of the job postings, extracts phrases from the identified job postings based on a corresponding relevancy measurement and a corresponding diversity measurement for each one of the phrases, determines a corresponding section of a page of a user to suggest for placement of the extracted phrase using a placement classifier for each one of the extracted phrases, and generates a corresponding recommendation for the page based on the extracted phrase and the determined section of the extracted phrase for each one of the phrases.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: October 20, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jeffrey Douglas Gee, Rohan Ramanath, Scott Khamphoune, Vasudeva Nagaraja, Deepak Kumar, Himanshu Khurana, Vijay Ramamurthy
  • USER INTERFACE FOR OPTIMIZING DIGITAL PAGE
    Publication number: 20200174633
    Abstract: Techniques for improving the accuracy, relevancy, and efficiency of a computer system of an online service by providing a user interface to optimize a digital page of a user on the online service are disclosed herein. In some embodiments, a computer system identifies job postings published on an online service as corresponding to a type of job based on feature data of each one of the job postings, extracts phrases from the identified job postings based on a corresponding relevancy measurement and a corresponding diversity measurement for each one of the phrases, determines a corresponding section of a page of a user to suggest for placement of the extracted phrase using a placement classifier for each one of the extracted phrases, and generates a corresponding recommendation for the page based on the extracted phrase and the determined section of the extracted phrase for each one of the phrases.
    Type: Application
    Filed: November 30, 2018
    Publication date: June 4, 2020
    Inventors: Jeffrey Douglas Gee, Rohan Ramanath, Scott Khamphoune, Vasudeva Nagaraja, Deepak Kumar, Himanshu Khurana, Vijay Ramamurthy