Patents by Inventor Yuliya Torosjan

Yuliya Torosjan 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).

  • Methods and systems for forecasting and measurement of media viewership using a combination of data sets
    Patent number: 9363557
    Abstract: Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time periods and data sources join together disparate data sets. Individual data sets from disparate data sources may be compared to identify possible untrustworthy data or data that requires further investigation. Organizing viewership information in a time series allows for imputing missing data in a respective data set.
    Type: Grant
    Filed: October 15, 2012
    Date of Patent: June 7, 2016
    Assignee: SIMULMEDIA, INC.
    Inventors: Mario Andres Morales, Krishna Balasubramanian, Yuliya Torosjan, Jackie Kellon Smith, II, Jeffrey Storan, Donald J. Locker, Shaun Delaney Espiritu, Ross Allen Levin
  • SYSTEMS AND METHODS FOR INFERRING AND FORECASTING VIEWERSHIP AND DEMOGRAPHIC DATA FOR UNMONITORED MEDIA NETWORKS
    Publication number: 20150181267
    Abstract: Currency data regarding the monitored media network including a first viewership count indicating a first number of viewers viewing the monitored media network during a first series of time intervals and demographic information regarding the first number of viewers may be received. Set-top-box viewership data regarding the monitored media network may also be received from a set top box. The set-top-box viewership data may include a second viewership count indicating a second number of viewers viewing the monitored media network during a second series of time intervals. The first and second viewership counts may be transformed into first and second series of data, respectively. The first and second series of data may be compared to with one another determine factors and/or coefficients, which may be applied to the second viewership count to infer and/or forecast demographic information for the second viewership count. The method is generalized to unmonitored networks.
    Type: Application
    Filed: December 17, 2014
    Publication date: June 25, 2015
    Inventors: Mario Morales, Yuliya Torosjan, Krishna Balasubramanian, Alison Lowery
  • METHODS AND SYSTEMS FOR FORECASTING AND MEASUREMENT OF MEDIA VIEWERSHIP USING A COMBINATION OF DATA SETS
    Publication number: 20140109124
    Abstract: Future media viewership is forecast based on time ordered analysis of historical viewership information from an individual or combination of a plurality of data sets. Forecast models having coefficients derived from comparisons of time series representations of data sets across a plurality of time periods and data sources join together disparate data sets. Individual data sets from disparate data sources may be compared to identify possible untrustworthy data or data that requires further investigation. Organizing viewership information in a time series allows for imputing missing data in a respective data set.
    Type: Application
    Filed: October 15, 2012
    Publication date: April 17, 2014
    Applicant: SIMULMEDIA, INC.
    Inventors: Mario Andres Morales, Krishna Balasubramanian, Yuliya Torosjan, Jackie Kellon Smith, II, Jeffrey Storan, Donald J. Locker, Shaun Delaney Espiritu, Ross Allen Levin