SYSTEM FOR MACHINE LEARNED EMBEDDING AND ASSESSMENT OF ACTOR VALUE ATTRIBUTES
Aspects of the subject disclosure may include, for example, machine learning models that learn reusable contributor embedding models representing contribution impacts. The contribution impacts represent the impact of contributions to media works made by contributors such as writers, directors, produ...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
07.09.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Aspects of the subject disclosure may include, for example, machine learning models that learn reusable contributor embedding models representing contribution impacts. The contribution impacts represent the impact of contributions to media works made by contributors such as writers, directors, producers, actors, or combinations thereof. Machine learning models may then be used to perform contribution predictions from the reusable contributor embedding models. Other embodiments are disclosed. |
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Bibliography: | Application Number: US202217684481 |