Invention Grant
- Patent Title: Using social network data to detect and quantify unauthorized consumption of content
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Application No.: US15471477Application Date: 2017-03-28
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Publication No.: US11100593B2Publication Date: 2021-08-24
- Inventor: Naga A. Ayachitula , Mahesh Gajwani , Ashish Kundu , Abhishek Malvankar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Agent Anthony Curro
- Main IPC: G06Q50/00
- IPC: G06Q50/00 ; G06Q30/02 ; G06F21/10 ; G06N7/00
Abstract:
A method for utilizing data analytics to identify unauthorized consumption of content comprises obtaining social network activity data from one or more social networks. The obtained social network activity data is analyzed to identify one or more users involved with content associated with a content provider. A determination is made as to whether or not the one or more users are authorized to access the content based at least in part on the analysis.
Public/Granted literature
- US20180285984A1 USING SOCIAL NETWORK DATA TO DETECT AND QUANTIFY UNAUTHORIZED CONSUMPTION OF CONTENT Public/Granted day:2018-10-04
Information query
