- Patent Title: Prospective media content generation using neural network modeling
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Application No.: US16930355Application Date: 2020-07-16
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Publication No.: US11620489B2Publication Date: 2023-04-04
- Inventor: Meghana Bhatt , Rachel Payne
- Applicant: The Nielsen Company (US), LLC
- Applicant Address: US NY New York
- Assignee: The Nielsen Company (US), LLC
- Current Assignee: The Nielsen Company (US), LLC
- Current Assignee Address: US NY New York
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- Main IPC: G06N3/02
- IPC: G06N3/02 ; G06N20/00 ; G06N3/04 ; G06F17/16

Abstract:
A system for prospectively identifying media characteristics for inclusion in media content is disclosed. A neural network database including media characteristic information and feature information may associate relationships among the media characteristic information and feature information. Personal characteristic information associated with target media consumers may be used to select a subset of the neural network database. A first set of nodes, representing selected feature information, may be activated. The node interactions may be calculated to detect the activation of a second set of nodes, the second set of nodes representing media characteristic information. Generally, a node is activated when an activation value of the node exceeds a threshold value. Media characteristic information may be identified for inclusion in media content based on the second set of nodes.
Public/Granted literature
- US20200349412A1 PROSPECTIVE MEDIA CONTENT GENERATION USING NEURAL NETWORK MODELING Public/Granted day:2020-11-05
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