Patents by Inventor Saksham GUPTA

Saksham GUPTA 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: 20250086239
    Abstract: Aspects of the disclosure include methods and systems for a time and click based updatable static web page ranking. An exemplary method includes identifying a web page at a discovery time, predicting, by a first ranking model, a first ranking of the web page using first features available at the discovery time, and predicting, by a second ranking model, a second ranking of the web page using the first features. An index score is generated from the first ranking and the second ranking. The method includes, after discovery time, predicting, by the first ranking model, an updated first ranking of the web page using the first features, predicting, by the second ranking model, an updated second ranking of the web page using the first features and second features not available at the discovery time, and updating the index score from a combination of the updated first ranking and the updated second ranking.
    Type: Application
    Filed: September 11, 2023
    Publication date: March 13, 2025
    Inventors: Saksham GUPTA, Maxim SIGALOV, Aliaksei BONDARIONOK, Artashes TER-VARDANYAN
  • Patent number: 12013913
    Abstract: A link-analyzing system (LAS) extracts information from a markup language (ML) document associated with a web page link. In some implementations, the information that is extracted includes at least: a) address content that is part of the link's destination address; and b) text that is associated with the link but that is not part of the destination address itself. The LAS generates feature information based on the address content and the text, and then uses a classification model to make a classification assessment for the link based on the feature information. In some implementations, the LAS can control a crawling engine based on the classification assessment. In some implementations, the LAS can revise a low-confidence classification assessment based on an examination of the classification assessments of a group of similar links described by the ML document. Other implementations use the above-described functionality to classify other parts of an ML document.
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: June 18, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Siarhei Alonichau, Saksham Gupta, Aliaksei Bondarionok
  • Publication number: 20230153370
    Abstract: A link-analyzing system (LAS) extracts information from a markup language (ML) document associated with a web page link. In some implementations, the information that is extracted includes at least: a) address content that is part of the link's destination address; and b) text that is associated with the link but that is not part of the destination address itself. The LAS generates feature information based on the address content and the text, and then uses a classification model to make a classification assessment for the link based on the feature information. In some implementations, the LAS can control a crawling engine based on the classification assessment. In some implementations, the LAS can revise a low-confidence classification assessment based on an examination of the classification assessments of a group of similar links described by the ML document. Other implementations use the above-described functionality to classify other parts of an ML document.
    Type: Application
    Filed: November 17, 2021
    Publication date: May 18, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Siarhei ALONICHAU, Saksham GUPTA, Aliaksei BONDARIONOK