- 专利标题: UTILIZING A TAILORED MACHINE LEARNING MODEL APPLIED TO EXTRACTED DATA TO PREDICT A DECISION-MAKING GROUP
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申请号: US16600099申请日: 2019-10-11
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公开(公告)号: US20210110411A1公开(公告)日: 2021-04-15
- 发明人: Yali Pollak , Vivek Sinha , Ajay Awatramani
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 主分类号: G06Q30/02
- IPC分类号: G06Q30/02 ; G06N20/00 ; G06N7/00
摘要:
A method, in which one or more processing devices perform operations, includes executing a content-extraction agent that extracts activity data describing interactions with online resources by one or more user devices associated with a target entity. The method includes organizing the activity data into an input descriptive data structure associated with the target entity. The method includes computing a probability of the target entity belonging to a decision-making group by applying, to the input descriptive data structure, a role-classification model that is trained to determine probabilities that entities belong to the decision-making group. The method further includes transmitting an indication of the probability to a content provider, where transmitting the indication of the probability causes the content provider to customize interactive content to the target entity prior to a transmission of the interactive content to the one or more user devices.
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