Patents by Inventor Raif Rustamov

Raif Rustamov 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).

  • CONTENT RECOMMENDATION TECHNIQUES WITH REDUCED HABIT BIAS EFFECTS
    Publication number: 20230156281
    Abstract: Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.
    Type: Application
    Filed: January 23, 2023
    Publication date: May 18, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Raif Rustamov, Ann Eileen Skudlark, Christopher Volinsky, Appavu Siva Prakasam
  • Content recommendation techniques with reduced habit bias effects
    Patent number: 11589121
    Abstract: Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.
    Type: Grant
    Filed: October 27, 2021
    Date of Patent: February 21, 2023
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Raif Rustamov, Ann Eileen Skudlark, Christopher Volinsky, Appavu Siva Prakasam
  • CONTENT RECOMMENDATION TECHNIQUES WITH REDUCED HABIT BIAS EFFECTS
    Publication number: 20220053240
    Abstract: Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.
    Type: Application
    Filed: October 27, 2021
    Publication date: February 17, 2022
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Raif Rustamov, Ann Eileen Skudlark, Christopher Volinsky, Appavu Siva Prakasam
  • Content recommendation techniques with reduced habit bias effects
    Patent number: 11190843
    Abstract: Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: November 30, 2021
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Raif Rustamov, Ann Eileen Skudlark, Christopher Volinsky, Appavu Siva Prakasam
  • CONTENT RECOMMENDATION TECHNIQUES WITH REDUCED HABIT BIAS EFFECTS
    Publication number: 20210345001
    Abstract: Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.
    Type: Application
    Filed: April 30, 2020
    Publication date: November 4, 2021
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Raif Rustamov, Ann Eileen Skudlark, Christopher Volinsky, Appavu Siva Prakasam