Patents by Inventor Disha Dhingra

Disha Dhingra 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).

  • Patent number: 10200397
    Abstract: The techniques described herein are directed to robust matching for identity screening. In some examples, the techniques can include generating a similarity score for received identity information compared to a reference record. In some examples, the techniques can utilize a region associated with the received identity information to weight tokens composing the identity information or of the reference record to adjust the similarity score. Moreover, the techniques can include multiple tokenizers, transformation providers, and token weight providers and the techniques can be configured to select between the multiple tokenizers, transformation providers, and token weight providers based at least in part on a region to improve the accuracy of the similarity score. The techniques can determine whether or not to flag or otherwise affirm an identity of an individual or entity associated with the entity information based at least in part on the similarity score.
    Type: Grant
    Filed: June 28, 2016
    Date of Patent: February 5, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Surajit Dhar, Disha Dhingra, Kris K. Ganjam
  • Publication number: 20170374093
    Abstract: The techniques described herein are directed to robust matching for identity screening. In some examples, the techniques can include generating a similarity score for received identity information compared to a reference record. In some examples, the techniques can utilize a region associated with the received identity information to weight tokens composing the identity information or of the reference record to adjust the similarity score. Moreover, the techniques can include multiple tokenizers, transformation providers, and token weight providers and the techniques can be configured to select between the multiple tokenizers, transformation providers, and token weight providers based at least in part on a region to improve the accuracy of the similarity score. The techniques can determine whether or not to flag or otherwise affirm an identity of an individual or entity associated with the entity information based at least in part on the similarity score.
    Type: Application
    Filed: June 28, 2016
    Publication date: December 28, 2017
    Inventors: Surajit Dhar, Disha Dhingra, Kris K. Ganjam