Patents by Inventor Nakul Verma

Nakul Verma 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).

  • Method and system using keyword vectors and associated metrics for learning and prediction of user correlation of targeted content messages in a mobile environment
    Patent number: 9705998
    Abstract: Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, performing learning operations on the mobile client with the first keywords based on monitored user interaction to estimate a set of keyword interest weights, receiving a set of target keywords associated with a target message, and displaying the target message on the mobile client based on the estimated keyword interest weights.
    Type: Grant
    Filed: November 11, 2008
    Date of Patent: July 11, 2017
    Assignee: QUALCOMM Incorporated
    Inventors: Dilip Krishnaswamy, Nakul Verma, Vladimir Bychkovsky
  • DELIVERY OF TARGETED CONTENT RELATED TO A LEARNED AND PREDICTED FUTURE BEHAVIOR BASED ON SPATIAL, TEMPORAL, AND USER ATTRIBUTES AND BEHAVIORAL CONSTRAINTS
    Publication number: 20110282964
    Abstract: Methods and apparatuses and for determining suitability to display information from an information source, such as an advertiser, to a mobile client are described. Learning distribution vectors are tagged to specific content in the information by the advertiser and delivered with the derived learning distribution vectors to the mobile client. The mobile client refines the derived learning distribution vectors based on any one or more combinations of temporal, spatial, attributes, behavioral constraints of the user using context independent/context aware/prediction schemes to determine suitability of the content for display to the user.
    Type: Application
    Filed: May 13, 2010
    Publication date: November 17, 2011
    Applicant: QUALCOMM Incorporated
    Inventors: Dilip Krishnaswamy, Robert S. Daley, Nakul Verma
  • METHOD AND SYSTEM FOR KEYWORD CORRELATION IN A MOBILE ENVIRONMENT
    Publication number: 20090125517
    Abstract: Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, determining a user selection rate for each unique first keyword of the plurality of sets of first keywords, receiving a set of target keywords associated with a target message, performing one or more matching operations between the set of target keywords and corresponding user selection rates to produce a set of one or more matching parameters, and displaying the target message on the mobile client dependent upon the matching parameters.
    Type: Application
    Filed: November 11, 2008
    Publication date: May 14, 2009
    Applicant: QUALCOMM Incorporated
    Inventors: Dilip Krishnaswamy, Nakul Verma, Vladimir Bychkovsky
  • Method and system using keyword vectors and associated metrics for learning and prediction of user correlation of targeted content messages in a mobile environment
    Publication number: 20090125462
    Abstract: Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, performing learning operations on the mobile client with the first keywords based on monitored user interaction to estimate a set of keyword interest weights, receiving a set of target keywords associated with a target message, and displaying the target message on the mobile client based on the estimated keyword interest weights.
    Type: Application
    Filed: November 11, 2008
    Publication date: May 14, 2009
    Applicant: QUALCOMM Incorporated
    Inventors: Dilip KRISHNASWAMY, Nakul Verma, Vladimir Bychkovsky