Patents by Inventor Rama Seera

Rama Seera 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).

  • Systems and methods for determining a geographic location
    Patent number: 11301535
    Abstract: In one embodiment, the present disclosure includes a method for determining a location of a user. In one embodiment, the method includes receiving operation data including character fields and a first identifier. A query that includes the first identifier is sent to a data store. In response to the query, operation types and corresponding count values are received. Character fields from the operation data are converted into tokens. For each of the tokens, a likelihood value and a second identifier specifying a respective machine learning parameter is retrieved. A machine-learning algorithm is configured based on the count values, and the likelihood values and specified parameters are processed by the configured machine-learning algorithm to determine whether the operation data corresponds to the geographic location of a user.
    Type: Grant
    Filed: November 29, 2018
    Date of Patent: April 12, 2022
    Assignee: SAP SE
    Inventors: Nichole Haas, Anikate Singh, Nicolas Patenode, Rama Seera, Robert Quanstrom, Aster Anto, Ketan Shrikhande, Suresh Chinnaswamy
  • SYSTEMS AND METHODS FOR DETERMINING A GEOGRAPHIC LOCATION
    Publication number: 20200175085
    Abstract: In one embodiment, the present disclosure includes a method for determining a location of a user. In one embodiment, the method includes receiving operation data including character fields and a first identifier. A query that includes the first identifier is sent to a data store. In response to the query, operation types and corresponding count values are received. Character fields from the operation data are converted into tokens. For each of the tokens, a likelihood value and a second identifier specifying a respective machine learning parameter is retrieved. A machine-learning algorithm is configured based on the count values, and the likelihood values and specified parameters are processed by the configured machine-learning algorithm to determine whether the operation data corresponds to the geographic location of a user.
    Type: Application
    Filed: November 29, 2018
    Publication date: June 4, 2020
    Inventors: Nichole Haas, Anikate Singh, Nicolas Patenode, Rama Seera, Robert Quanstrom, Aster Anto, Ketan Shrikhande, Suresh Chinnaswamy