Patents by Inventor Nishant Vijayakumar

Nishant Vijayakumar 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).

  • Local metric learning for tag recommendation in social networks using indexing
    Patent number: 9600826
    Abstract: A tag recommendation for an item to be tagged is generated by: selecting a set of candidate neighboring items in an electronic social network based on context of items in the electronic social network respective to an owner of the item to be tagged; selecting a set of nearest neighboring items from the set of candidate neighboring items based on distances of the candidate neighboring items from the item to be tagged as measured by an item comparison metric; and selecting at least one tag recommendation based on tags of the items of the set of nearest neighboring items. The item comparison metric may comprise a Mahalanobis distance metric trained on the set of candidate neighboring items to correlate the trained Mahalanobis distance between pairs of items of the set of candidate neighboring items with an overlap metric indicative of overlap of the tag sets of the two items.
    Type: Grant
    Filed: February 28, 2011
    Date of Patent: March 21, 2017
    Assignee: XEROX CORPORATION
    Inventors: Mohamed Aymen Benzarti, Boris Chidlovskii, Nishant Vijayakumar
  • LOCAL METRIC LEARNING FOR TAG RECOMMENDATION IN SOCIAL NETWORKS
    Publication number: 20120219191
    Abstract: A tag recommendation for an item to be tagged is generated by: selecting a set of candidate neighboring items in an electronic social network based on context of items in the electronic social network respective to an owner of the item to be tagged; selecting a set of nearest neighboring items from the set of candidate neighboring items based on distances of the candidate neighboring items from the item to be tagged as measured by an item comparison metric; and selecting at least one tag recommendation based on tags of the items of the set of nearest neighboring items. The item comparison metric may comprise a Mahalanobis distance metric trained on the set of candidate neighboring items to correlate the trained Mahalanobis distance between pairs of items of the set of candidate neighboring items with an overlap metric indicative of overlap of the tag sets of the two items.
    Type: Application
    Filed: February 28, 2011
    Publication date: August 30, 2012
    Applicant: Xerox Corporation
    Inventors: Mohamed Aymen Benzarti, Boris Chidlovskii, Nishant Vijayakumar