Patents by Inventor Roman Samarev

Roman Samarev 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: 20230394547
    Abstract: Predicting business outcomes by analyzing music interests of a target user includes generation of predictor models based on test data of tests users. The test data includes historic data of the test users, music samples of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes music samples that are of interest to the target user, historic data of the target user, and answers provided by the target user.
    Type: Application
    Filed: May 9, 2023
    Publication date: December 7, 2023
    Applicant: OPENSESAME INC.
    Inventors: Roman Samarev, Ganesh Iyer
  • Patent number: 11797938
    Abstract: Predicting psychometric attributes and relevant skills for a first job position includes generation of predictor models based on test data of tests users. The test data includes resumes of the test users, job descriptions of job positions of the test users, historical data of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict the psychometric attributes and the relevant skills based on target data, which is a first job description of the first job position.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: October 24, 2023
    Assignee: OPENSESAME INC
    Inventors: Ganesh Iyer, Roman Samarev
  • Patent number: 11741376
    Abstract: A method and a system for predicting business outcomes by analyzing voice data of users are provided. The method includes generation of predictor models based on test data of test users. The test data includes historical data of the test users, voice samples of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of a target user. The target data includes voice samples of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: August 29, 2023
    Assignee: OPENSESAME INC.
    Inventors: Roman Samarev, Ganesh Iyer
  • Patent number: 11238391
    Abstract: Predicting business outcomes for a target user includes generation of predictor models based on test data of tests users. The test data includes historical data of the test users, resumes of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes a resume of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: February 1, 2022
    Assignee: DOTIN INC.
    Inventors: Ganesh Iyer, Roman Samarev
  • Patent number: 11068917
    Abstract: A method and a system for predicting business outcomes by analyzing image interests of users are provided. The method includes generation of predictor models based on sample data of tests users. The sample data includes historical data of the test users, images that are of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes for a target user based on target data of the target user. The target data includes images that are of interest to the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: July 20, 2021
    Assignee: DOTIN INC.
    Inventors: Roman Samarev, Ganesh Iyer
  • Patent number: 10990847
    Abstract: A method and a system for predicting business outcomes for a target user are provided. The method includes generation of a plurality of images such that each image includes a set of colored-blocks arranged in rows and columns and a unique pattern formed by a subset of colored-blocks in the corresponding set of colored-blocks. Each unique pattern is associated with at least one psychometric feature. The plurality of images are presented to the target user for selection. The method further includes receiving a set of images selected by the target user from the plurality of images and analyzing each image to derive psychometric features of the target user. One or more business outcomes are predicted for the target user based on the derived psychometric features and one or more predictor models.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: April 27, 2021
    Assignee: DOTIN INC.
    Inventors: Roman Samarev, Ganesh Iyer
  • Publication number: 20200342410
    Abstract: Predicting psychometric attributes and relevant skills for a first job position includes generation of predictor models based on test data of tests users. The test data includes resumes of the test users, job descriptions of job positions of the test users, historical data of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict the psychometric attributes and the relevant skills based on target data, which is a first job description of the first job position.
    Type: Application
    Filed: April 25, 2019
    Publication date: October 29, 2020
    Inventors: Ganesh IYER, Roman SAMAREV
  • Publication number: 20200342384
    Abstract: Predicting business outcomes for a target user includes generation of predictor models based on test data of tests users. The test data includes historical data of the test users, resumes of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes a resume of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.
    Type: Application
    Filed: April 25, 2019
    Publication date: October 29, 2020
    Inventors: Ganesh IYER, Roman SAMAREV
  • Publication number: 20200184495
    Abstract: A method and a system for predicting business outcomes by analyzing image interests of users are provided. The method includes generation of predictor models based on sample data of tests users. The sample data includes historical data of the test users, images that are of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes for a target user based on target data of the target user. The target data includes images that are of interest to the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.
    Type: Application
    Filed: December 7, 2018
    Publication date: June 11, 2020
    Inventors: Roman SAMAREV, Ganesh IYER
  • Publication number: 20200184263
    Abstract: A method and a system for predicting business outcomes for a target user are provided. The method includes generation of a plurality of images such that each image includes a set of colored-blocks arranged in rows and columns and a unique pattern formed by a subset of colored-blocks in the corresponding set of colored-blocks. Each unique pattern is associated with at least one psychometric feature. The plurality of images are presented to the target user for selection. The method further includes receiving a set of images selected by the target user from the plurality of images and analyzing each image to derive psychometric features of the target user. One or more business outcomes are predicted for the target user based on the derived psychometric features and one or more predictor models.
    Type: Application
    Filed: December 7, 2018
    Publication date: June 11, 2020
    Inventors: Roman Samarev, Ganesh Iyer
  • Publication number: 20200184529
    Abstract: Predicting business outcomes by analyzing music interests of a target user includes generation of predictor models based on test data of tests users. The test data includes historic data of the test users, music samples of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of the target user. The target data includes music samples that are of interest to the target user, historic data of the target user, and answers provided by the target user.
    Type: Application
    Filed: December 7, 2018
    Publication date: June 11, 2020
    Inventors: Roman SAMAREV, Ganesh IYER
  • Publication number: 20200184343
    Abstract: A method and a system for predicting business outcomes by analyzing voice data of users are provided. The method includes generation of predictor models based on test data of test users. The test data includes historical data of the test users, voice samples of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes based on target data of a target user. The target data includes voice samples of the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.
    Type: Application
    Filed: December 7, 2018
    Publication date: June 11, 2020
    Inventors: Roman SAMAREV, Ganesh IYER
  • Patent number: 10147105
    Abstract: A system and a process are disclosed to analyze images and predict personality to enhance business outcomes by analyzing colors predominant in images selected, posted, or liked by a person, determining color values for the predominant colors in the images, weighting the color values, and, based on the weighted color values, deriving one or more personality attributes according to a particular psychological orientation.
    Type: Grant
    Filed: October 29, 2016
    Date of Patent: December 4, 2018
    Assignee: DOTIN LLC
    Inventors: Ganesh Iyer, Roman Samarev, Sanjeev Ukhalkar