Invention Grant
- Patent Title: Systems and methods for machine learning predictions of the impact of digital content
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Application No.: US16839354Application Date: 2020-04-03
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Publication No.: US11756061B2Publication Date: 2023-09-12
- Inventor: Valerie Coffman , James Slezak
- Applicant: Worldview Incorporated
- Applicant Address: US CA San Francisco
- Assignee: Worldview Incorporated
- Current Assignee: Worldview Incorporated
- Current Assignee Address: US CA San Francisco
- Agency: Cognition IP, P.C.
- Agent Edward Steakley
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/0203 ; G06N20/00

Abstract:
A system, computer readable medium, and method for analyzing digital content of electronic media files includes presenting control media content to a set of control respondents for consumption and presenting test media content to a set of test respondents for consumption. The method includes receiving first responses to a survey related to topics of the control media content from the set of control respondents and second responses to the survey about the test media content from the set of test respondents. The method includes performing feature extraction on the test media content and performing feature extraction on the first responses and the second responses. The feature extraction obtains response features associated with the first responses and the second responses. The method includes training a regression machine learning model with the media content features and the response features.
Public/Granted literature
- US20200342472A1 SYSTEMS AND METHODS FOR MACHINE LEARNING PREDICTIONS OF THE IMPACT OF DIGITAL CONTENT Public/Granted day:2020-10-29
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