- 专利标题: Targeted content identification and tracing
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申请号: US16165209申请日: 2018-10-19
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公开(公告)号: US10929878B2公开(公告)日: 2021-02-23
- 发明人: Matthew M. Lobbes , Brian J. Snitzer , Nathaniel J. Gibbs , Shelbee Eigenbrode
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Schmeiser, Olsen & Watts, LLP
- 代理商 Michael O'Keefe
- 主分类号: G06Q30/00
- IPC分类号: G06Q30/00 ; G06Q30/02
摘要:
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.
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