Patents by Inventor Sanjeet Uday Hajarnis

Sanjeet Uday Hajarnis 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).

  • Embeddings for feed and pages
    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
  • Systems and methods for recommending follow up content
    Patent number: 10318597
    Abstract: Systems, methods, and non-transitory computer readable media configured to detect access by a user to an original content item relating to a story. At least one of a comments based technique, a token based technique, and a tag based technique is performed on content items. Constraints are applied to identify at least one follow up content item from the content items relating to a development of the story.
    Type: Grant
    Filed: December 22, 2014
    Date of Patent: June 11, 2019
    Assignee: Facebook, Inc.
    Inventors: Holly Marie Ormseth, Elad Gerson, Guy Dassa, Khalid Bakry El-Arini, Gaurav Shankar, Yuanxuan Wang, Varun Kacholia, Prasoon Mishra, David Vickrey, Sanjeet Uday Hajarnis, Sahil P. Thaker
  • EMBEDDINGS FOR FEED AND PAGES
    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
  • SYSTEMS AND METHODS FOR RECOMMENDING FOLLOW UP CONTENT
    Publication number: 20160179968
    Abstract: Systems, methods, and non-transitory computer readable media configured to detect access by a user to an original content item relating to a story. At least one of a comments based technique, a token based technique, and a tag based technique is performed on content items. Constraints are applied to identify at least one follow up content item from the content items relating to a development of the story.
    Type: Application
    Filed: December 22, 2014
    Publication date: June 23, 2016
    Inventors: Holly Marie Ormseth, Elad Gerson, Guy Dassa, Khalid Bakry El-Arini, Gaurav Shankar, Yuanxuan Wang, Varun Kacholia, Prasoon Mishra, David Vickrey, Sanjeet Uday Hajarnis, Sahil P. Thaker