Patents by Inventor Raz Schwartz

Raz Schwartz 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).

  • Discovering neighborhood clusters and uses therefor
    Patent number: 11935082
    Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
    Type: Grant
    Filed: January 10, 2022
    Date of Patent: March 19, 2024
    Assignee: Carnegie Mellon University
    Inventors: Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh-Koniecpol
  • DISCOVERING NEIGHBORHOOD CLUSTERS AND USES THEREFOR
    Publication number: 20220129930
    Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
    Type: Application
    Filed: January 10, 2022
    Publication date: April 28, 2022
    Inventors: Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh-Koniecpol
  • Discovering neighborhood clusters and uses therefor
    Patent number: 11222349
    Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
    Type: Grant
    Filed: July 13, 2020
    Date of Patent: January 11, 2022
    Assignee: Carnegie Mellon University
    Inventors: Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh-Koniecpol
  • DISCOVERING NEIGHBORHOOD CLUSTERS AND USES THEREFOR
    Publication number: 20200342474
    Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
    Type: Application
    Filed: July 13, 2020
    Publication date: October 29, 2020
    Inventors: Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh-Koniecpol
  • Discovering neighborhood clusters and uses therefor
    Patent number: 10713672
    Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: July 14, 2020
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh-Koniecpol
  • Discovering neighborhood clusters and uses therefor
    Patent number: 9846887
    Abstract: Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
    Type: Grant
    Filed: August 30, 2013
    Date of Patent: December 19, 2017
    Assignee: CARNEGIE MELLON UNIVERSITY
    Inventors: Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh-Koniecpol