Systems and methods for generating personalized content items

US2022414754A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2022414754-A1
Application numberUS-202117362703-A
CountryUS
Kind codeA1
Filing dateJun 29, 2021
Priority dateJun 29, 2021
Publication dateDec 29, 2022
Grant date

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  1. Title

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  2. Abstract

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  5. First independent claim

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  7. Citations and related patents

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Abstract

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Systems, methods, and non-transitory computer-readable media can be configured to determine a content item template that includes a placeholder character. A personalized character can be generated based on the placeholder character and user preference information of a user. A personalized content item can be generated for the user based on the content item template and the personalized character.

First claim

Opening claim text (preview).

1 . A computer-implemented method comprising: determining, by a computing system, a content item template that includes a placeholder character, wherein the content item template includes a specified range associated with an appearance characteristic associated with the placeholder character; generating, by the computing system, a personalized character with a personalized appearance characteristic that satisfies the specified range based on the placeholder character and user preference information of a user; and generating, by the computing system, a personalized content item for the user based on the content item template and the personalized character. 2 . The computer-implemented method of claim 1 , wherein the user preference information is based on engagement information associated with the user and the engagement information indicates at least one of: a content item with which the user interacted, a type of interaction, or an amount of time associated with an interaction. 3 . The computer-implemented method of claim 1 , wherein the generating the personalized character is further based on parameters associated with the content item template, wherein the parameters specify a required color to be applied to the personalized character. 4 . The computer-implemented method of claim 1 , wherein personalized appearance characteristics associated with the personalized character are maintained for a specified period of time. 5 . The computer-implemented method of claim 1 , wherein the user preference information is determined based on a machine learning model. 6 . The computer-implemented method of claim 5 , further comprising: training the machine learning model based on training data that includes user features associated with users and content features associated with content items with which the users interact. 7 . The computer-implemented method of claim 6 , wherein the content features include appearance characteristics of people appearing in the content items. 8 . The computer-implemented method of claim 6 , further comprising: refining the machine learning model based on engagement information associated with the user. 9 . The computer-implemented method of claim 5 , wherein the machine learning model generates a score associated with an appearance characteristic and the score indicates a likelihood the user has a preference for the appearance characteristic. 10 . The computer-implemented method of claim 1 , wherein the user preference information includes preferences for appearance characteristics and the appearance characteristics include at least one of: hair color, hair style, facial features, facial expression, facial accessories, age, gender, body type, and body pose. 11 . A system comprising: at least one processor; and a memory storing instructions that, when executed by the at least one processor, cause the system to perform: determining a content item template that includes a placeholder character wherein the content item template includes a specified range associated with an appearance characteristic associated with the placeholder character; generating a personalized character with a personalized appearance characteristic that satisfies the specified range based on the placeholder character and user preference information of a user; and generating a personalized content item for the user based on the content item template and the personalized character. 12 . The system of claim 11 , wherein the user preference information is based on engagement information associated with the user and the engagement information indicates at least one of: a content item with which the user interacted, a type of interaction, or an amount of time associated with an interaction. 13 . The system of claim 11 , wherein the generating the personalized character is further based on parameters associated with the content item template, wherein the parameters specify a required color to be applied to the personalized character. 14 . The system of claim 11 , wherein personalized appearance characteristics associated with the personalized character are maintained for a specified period of time. 15 . The system of claim 11 , wherein the user preference information is determined based on a machine learning model. 16 . A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform: determining a content item template that includes a placeholder character, wherein the content item template includes a specified range associated with an appearance characteristic associated with the placeholder character; generating a personalized character with a personalized appearance characteristic that satisfies the specified range based on the placeholder character and user preference information of a user; and generating a personalized content item for the user based on the content item template and the personalized character. 17 . The non-transitory computer-readable storage medium of claim 16 , wherein the user preference information is based on engagement information associated with the user and the engagement information indicates at least one of: a content item with which the user interacted, a type of interaction, or an amount of time associated with an interaction. 18 . The non-transitory computer-readable storage medium of claim 16 , wherein the generating the personalized character is further based on parameters associated with the content item template, wherein the parameters specify a required color to be applied to the personalized character. 19 . The non-transitory computer-readable storage medium of claim 16 , wherein personalized appearance characteristics associated with the personalized character are maintained for a specified period of time. 20 . The non-transitory computer-readable storage medium of claim 16 , wherein the user preference information is determined based on a machine learning model.

Assignees

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Classifications

  • graphically representing goods, e.g. 3D product representation · CPC title

  • Targeted advertisements · CPC title

  • Machine learning · CPC title

  • Clustering; Classification · CPC title

  • Recommending goods or services · CPC title

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What does patent US2022414754A1 cover?
Systems, methods, and non-transitory computer-readable media can be configured to determine a content item template that includes a placeholder character. A personalized character can be generated based on the placeholder character and user preference information of a user. A personalized content item can be generated for the user based on the content item template and the personalized character.
Who is the assignee on this patent?
Meta Platforms Inc
What technology area does this patent fall under?
Primary CPC classification G06Q30/0643. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Dec 29 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).