Patents by Inventor Amey Ajit Porobo Dharwadker

Amey Ajit Porobo Dharwadker 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: 20220200945
    Abstract: The disclosed technology can provide tools to choose who can provide comments and tools to hide comments. A public figure, such as a verified public figure, can select who is permitted to comment on a post by the public figure subject to certain restrictions that promote open public dialogue. Any user, apart from a public figure, also can select who is permitted to comment on their public posts. Further, how a comment to a post is viewed can be based on a type of viewer, a type of action taken on the comment, and a type of actor who takes action on the comment. A plurality of comments can be hidden and removed from an original listing of comments and relocated to a separate area created for hidden comments.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 23, 2022
    Inventors: Melissa Erin Summers, Henry Tsai, Nan Li, Amey Ajit Porobo Dharwadker, Kirill A. Pugin, Sammy El Ghazzal
  • Patent number: 10846614
    Abstract: An embedding vector is the determined for a target user based on a weighted sum or the embedding vectors of entities the target user has interacted with in the past. Then, for each entity of a plurality of entities of the online system, a measure of similarity between the embedding vector of the user and the embedding vectors of the plurality of entities is determined. Based on the measure of similarity of each of the entities, the plurality of entities are ranked and one or more entities are selected to be presented to the user.
    Type: Grant
    Filed: March 16, 2017
    Date of Patent: November 24, 2020
    Assignee: Facebook, Inc.
    Inventors: Amey Ajit Porobo Dharwadker, Sanjeet Uday Hajarnis
  • Publication number: 20180268317
    Abstract: An embedding vector is the determined for a target user based on a weighted sum or the embedding vectors of entities the target user has interacted with in the past. Then, for each entity of a plurality of entities of the online system, a measure of similarity between the embedding vector of the user and the embedding vectors of the plurality of entities is determined. Based on the measure of similarity of each of the entities, the plurality of entities are ranked and one or more entities are selected to be presented to the user.
    Type: Application
    Filed: March 16, 2017
    Publication date: September 20, 2018
    Inventors: Amey Ajit Porobo Dharwadker, Sanjeet Uday Hajarnis