Patents by Inventor Soham Dan

Soham Dan 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: 10878433
    Abstract: This disclosure relates to utilizing a statistical model trained on character dimensions to determine a likelihood of a person purchasing a product. The method may include obtaining user-input data of a first person (e.g., textual-input data, survey-response data, offer information, or clickstream data associated with a first person). A character profile for the first person is derived using the user-input data and a psycholinguistic lexicon. A statistical model is generated based on the derived character profile of the first person. Second user-input data associated with a second person is obtained. The second user-input is applied to the statistical model to determine an output of the model (e.g., a statistical probability value that quantifies, for example, a predicted intention of the second person to purchase a particular product).
    Type: Grant
    Filed: March 15, 2016
    Date of Patent: December 29, 2020
    Assignee: Adobe Inc.
    Inventors: Kokil Jaidka, Vamsi Krishna Bokam, Soham Dan, Atanu R. Sinha, Yogesh Singh
  • Publication number: 20170270544
    Abstract: This disclosure relates to utilizing a statistical model trained on character dimensions to determine a likelihood of a person purchasing a product. The method may include obtaining user-input data of a first person (e.g., textual-input data, survey-response data, offer information, or clickstream data associated with a first person). A character profile for the first person is derived using the user-input data and a psycholinguistic lexicon. A statistical model is generated based on the derived character profile of the first person. Second user-input data associated with a second person is obtained. The second user-input is applied to the statistical model to determine an output of the model (e.g., a statistical probability value that quantifies, for example, a predicted intention of the second person to purchase a particular product).
    Type: Application
    Filed: March 15, 2016
    Publication date: September 21, 2017
    Applicant: Adobe Systems Incorporated
    Inventors: Kokil Jaidka, Vamsi Krishna Bokam, Soham Dan, Atanu R. Sinha, Yogesh Singh