US Patent 11935082 Discovering neighborhood clusters and uses therefor
Patent 11935082 was granted and assigned to Carnegie Mellon University on March, 2024 by the United States Patent and Trademark Office.
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US Patent 11935082 Discovering neighborhood clusters and uses therefor
Article
Patent 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.
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Patent Applicant
Current Assignee
Patent Jurisdiction
Patent Number
Patent Inventor Names
Jason I. Hong0
Justin Cranshaw0
Norman Sadeh-Koniecpol0
Raz Schwartz0
Date of Patent
March 19, 2024
0Patent Application Number
175722520
Date Filed
January 10, 2022
0Patent Citations
Patent Primary Examiner
CPC Code
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