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US Patent 11861312 Content evaluation based on machine learning and engagement metrics

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118613121
Patent Inventor Names
Nadiya Kochura1
Fang Lu1
Janani Janakiraman1
Su Liu1
Date of Patent
January 2, 2024
1
Patent Application Number
165665291
Date Filed
September 10, 2019
1
Patent Citations
‌
US Patent 11153655 Content appeal prediction using machine learning
1
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US Patent 10068490 System and method for improving student learning by monitoring student cognitive state
1
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US Patent 11373446 Interactive media facial emotion-based content selection system
1
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US Patent 9451303 Method and system for gathering and computing an audience's neurologically-based reactions in a distributed framework involving remote storage and computing
1
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US Patent 9881512 Systems and methods for customizing a learning experience of a user
1
Patent Primary Examiner
‌
Scott T Baderman
1
CPC Code
‌
G06K 9/6218
1
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G06F 40/284
1
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G06F 40/30
1
Patent abstract

Techniques for machine learning analysis are provided. A machine learning (ML) model is trained to identify appropriate documents based on lexical knowledge of target groups. A lexical knowledge of a set of users is determined. Additionally, a first document of a plurality of documents is selected by processing the determined level of lexical knowledge using the ML model. The first document is presented to the set of users. A level of engagement of the set of users is then determined. Upon determining that the level of engagement is below a predefined threshold, a second document of the plurality of documents is selected using the ML model.

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