Patents by Inventor Zhengziang Pan

Zhengziang Pan 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 system and method-based implicit ratings
    Patent number: 10873785
    Abstract: A content recommendation system that recommends content based on previous user content information and information regarding the user and user device. The system is capable of accurately recommending content using collaborative filtering by comparing the user's profile to other user profiles. User profiles rely on implicit ratings to determine user preferences. Implicit ratings may be determined by collecting the content that a user consumed, in addition to user and user device information. The system recommends content that similar users have consumed. The system is also able to identify and recommend trending content by analyzing changes in metrics over time. The system may also rely on automatic content recognition to identify content that the user is consuming without requiring active user input.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: December 22, 2020
    Assignee: Alphonso Inc.
    Inventors: Manish Gupta, Lampros Kalampoukas, Zhengziang Pan, Naren Sirugudi
  • Content Recommendation System and Method-Based Implicit Ratings
    Publication number: 20200221181
    Abstract: A content recommendation system that recommends content based on previous user content information and information regarding the user and user device. The system is capable of accurately recommending content using collaborative filtering by comparing the user's profile to other user profiles. User profiles rely on implicit ratings to determine user preferences. Implicit ratings may be determined by collecting the content that a user consumed, in addition to user and user device information. The system recommends content that similar users have consumed. The system is also able to identify and recommend trending content by analyzing changes in metrics over time. The system may also rely on automatic content recognition to identify content that the user is consuming without requiring active user input.
    Type: Application
    Filed: January 7, 2019
    Publication date: July 9, 2020
    Applicant: Alphonso Inc.
    Inventors: Manish Gupta, Lampros Kalampoukas, Zhengziang Pan, Naren Sirugudi