Patents by Inventor Amit Chandel

Amit Chandel 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).

  • Set similarity selection queries at interactive speeds
    Patent number: 7921100
    Abstract: The similarity between a query set comprising query set tokens and a database set comprising database set tokens is determined by a similarity score. The database sets belong to a data collection set, which contains all database sets from which information may be retrieved. If the similarity score is greater than or equal to a user-defined threshold, the database set has information relevant to the query set. The similarity score is calculated with an inverse document frequency method (IDF) similarity measure independent of term frequency. The document frequency is based at least in part on the number of database sets in the data collection set and the number of database sets which contain at least one query set token. The length of the query set and the length of the database set are normalized.
    Type: Grant
    Filed: January 2, 2008
    Date of Patent: April 5, 2011
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Marios Hadjieleftheriou, Amit Chandel, Nick Koudas, Divesh Srivastava
  • Set Similarity selection queries at interactive speeds
    Publication number: 20090171944
    Abstract: The similarity between a query set comprising query set tokens and a database set comprising database set tokens is determined by a similarity score. The database sets belong to a data collection set, which contains all database sets from which information may be retrieved. If the similarity score is greater than or equal to a user-defined threshold, the database set has information relevant to the query set. The similarity score is calculated with an inverse document frequency method (IDF) similarity measure independent of term frequency. The document frequency is based at least in part on the number of database sets in the data collection set and the number of database sets which contain at least one query set token. The length of the query set and the length of the database set are normalized.
    Type: Application
    Filed: January 2, 2008
    Publication date: July 2, 2009
    Inventors: Marios Hadjieleftheriou, Amit Chandel, Nick Koudas, Divesh Srivastava