Invention Grant
- Patent Title: Targeted content identification and tracing
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Application No.: US16165209Application Date: 2018-10-19
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Publication No.: US10929878B2Publication Date: 2021-02-23
- Inventor: Matthew M. Lobbes , Brian J. Snitzer , Nathaniel J. Gibbs , Shelbee Eigenbrode
- 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: Schmeiser, Olsen & Watts, LLP
- Agent Michael O'Keefe
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/02

Abstract:
A method of identifying targeted content includes deploying a plurality of internet bots configured to interact with content sources using predetermined patterns and profiles, wherein each individual internet bot of the plurality of internet bots includes at least one characteristic that is unique relative to the rest of the plurality of internet bots, collecting cause and effect data related to cause and effect of user interactions with content sources, receiving the cause and effect data collected by the plurality of internet bots, correlating user interactions with content sources using the cause and effect data collected by the plurality of internet bots, and identifying, how content is targeted to users by content sources from the correlating.
Information query