GENERATING USER-SPECIFIC SYNTHETIC CONTENT UTILIZING MACHINE LEARNING WITH USER CREATED CONTENT ITEMS

This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can utilize artificial intelligence to generate user-specific content based on content collections associated with a user account. Indeed, in one or more implementations, the disclosed...

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Bibliographische Detailangaben
Hauptverfasser: Lesniewski-Laas, Christopher T, Meeks, Christopher
Format: Patent
Sprache:eng
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Zusammenfassung:This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that can utilize artificial intelligence to generate user-specific content based on content collections associated with a user account. Indeed, in one or more implementations, the disclosed systems utilize machine learning to intelligently generate new, custom content items that emulate user-specific content attributes based on content collections associated with a user account. In some instances, the disclosed systems utilize a content generation model that is trained to generate new content items in response to user requests (e.g., requests that describe one or more features). Furthermore, the disclosed systems can fine tune or modify parameters of the content generation model with content items from the content collections associated with the user account to create a custom content generation model that synthesizes at least one attribute of the user account's content items within generated, new content items.