Patents by Inventor Rajesh Bala Kancharla

Rajesh Bala Kancharla 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).

  • GENERATION OF USER-SPECIFIC TIME-TO-LIVE VALUES USING MACHINE LEARNING
    Publication number: 20230075676
    Abstract: Techniques are disclosed relating to generating user-specific time-to-live (TTL) values using machine learning. In various embodiments, a server system maintains a cache data store that is operable to store data for a plurality of users of a web service. In response to a cache miss for a request from a first one of the plurality of users, the server system may generate a user-specific TTL value for the first user. In various embodiments, generating the user-specific TTL value may include using a machine learning model to generate a predicted future access pattern for the first user that indicates a distribution of time periods during which the first user is expected to access the web service and, based on the predicted future access pattern, determining the user-specific TTL value for the first user.
    Type: Application
    Filed: November 14, 2022
    Publication date: March 9, 2023
    Inventors: Yuan Deng, Rajesh Bala Kancharla
  • Generation of user-specific time-to-live values using machine learning
    Patent number: 11502857
    Abstract: Techniques are disclosed relating to generating user-specific time-to-live (TTL) values using machine learning. In various embodiments, a server system maintains a cache data store that is operable to store data for a plurality of users of a web service. In response to a cache miss for a request from a first one of the plurality of users, the server system may generate a user-specific TTL value for the first user. In various embodiments, generating the user-specific TTL value may include using a machine learning model to generate a predicted future access pattern for the first user that indicates a distribution of time periods during which the first user is expected to access the web service and, based on the predicted future access pattern, determining the user-specific TTL value for the first user.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: November 15, 2022
    Assignee: PayPal, Inc.
    Inventors: Yuan Deng, Rajesh Bala Kancharla
  • GENERATION OF USER-SPECIFIC TIME-TO-LIVE VALUES USING MACHINE LEARNING
    Publication number: 20210203515
    Abstract: Techniques are disclosed relating to generating user-specific time-to-live (TTL) values using machine learning. In various embodiments, a server system maintains a cache data store that is operable to store data for a plurality of users of a web service. In response to a cache miss for a request from a first one of the plurality of users, the server system may generate a user-specific TTL value for the first user. In various embodiments, generating the user-specific TTL value may include using a machine learning model to generate a predicted future access pattern for the first user that indicates a distribution of time periods during which the first user is expected to access the web service and, based on the predicted future access pattern, determining the user-specific TTL value for the first user.
    Type: Application
    Filed: December 31, 2019
    Publication date: July 1, 2021
    Inventors: Yuan Deng, Rajesh Bala Kancharla