System and method for generating a user behavioral avatar for a social media platform

1 . A method for generating a user behavioral avatar for a user based on backup of personalized user data, the method comprising:

receiving a request to generate an avatar that performs actions on behalf of a user on a social media platform;

identifying a plurality of historical user actions manually taken by the user on the social media platform;

generating, based on the plurality of historical user actions, an action profile that represents user tendencies for executing available actions on the social media platform;

retrieving a backup of at least one computing device associated with the user, wherein the backup comprises information from at least one data source that is not the social media platform;

identifying a plurality of data items in the backup;

classifying the plurality of data items into a plurality of topics, wherein classifying the plurality of data items into the plurality of topics further comprises ranking the plurality of topics based on a frequency of appearance in the backup;

training the avatar to detect, in the social media platform, a social media item that shares at least one topic of the plurality of topics from the backup and perform a user action in accordance with the action profile, wherein training the avatar further comprises weighting high-ranked topics higher than low-ranked topics such that the avatar has a greater likelihood of performing an available user action on the social media platform for the high-ranked topics than the low-ranked topics, and wherein weights of the trained avatar are updated in response to each new backup generated of the at least one computing device; and

executing the trained avatar to perform actions on behalf of the user on the social media platform.

2 . The method of claim 1 , wherein the social media platform is a metaverse-based application, and wherein the trained avatar performs actions on behalf of the user when the user is not manually accessing the metaverse-based application.

3 . The method of claim 1 , wherein generating the action profile comprises:

identifying a plurality of available user actions on the social media platform;

identifying a plurality of content types on which the plurality of available user actions can be executed;

for each respective user action of the plurality of available user actions and each respective content type of the plurality of content types:

determining a likelihood of the respective content type appearing on the social media platform;

determining an amount of times the user executed the respective user action on the respective content type; and

storing the likelihood and the amount of times in the action profile.

4 . The method of claim 1 , wherein the backup is a first backup, further comprising:

retrieving a second backup that is more recently generated than the first backup;

identifying another plurality of data items in the second backup;

classifying the another plurality of data items into another plurality of topics;

weighting topics for the avatar such that the another plurality of topics are weighted higher than the plurality of topics.

5 . The method of claim 1 , wherein the at least one data source is an email database, an application database, a documents database, or a media database.

6 . The method of claim 1 , wherein a data item is a photo, and wherein classifying the data item into a topic comprises:

detecting an object in the photo; and

classifying the object into a first topic.

7 . The method of claim 1 , wherein a data item is a transaction confirmation document, and wherein classifying the data item into a topic comprises:

identifying an asset that is part of the transaction confirmation document; and

classifying the asset into a first topic.

8 . The method of claim 1 , wherein an available user action is posting media, commenting on a post, liking a post, disliking a post, following another user, unfollowing the another user, making a transaction, or subscribing to a channel.

9 . The method of claim 1 , further comprising periodically retrieving a new backup associated with the user, and wherein the trained avatar is re-trained when the new backup is retrieved for analysis.

10 . A system for generating a user behavioral avatar for a user based on backup of personalized user data, the system comprising:

a hardware processor configured to:

receive a request to generate an avatar that performs actions on behalf of a user on a social media platform;

identify a plurality of historical user actions manually taken by the user on the social media platform;

generate, based on the plurality of historical user actions, an action profile that represents user tendencies for executing available actions on the social media platform;

retrieve a backup of at least one computing device associated with the user, wherein the backup comprises information from at least one data source that is not the social media platform;

identify a plurality of data items in the backup;

classify the plurality of data items into a plurality of topics, wherein classifying the plurality of data items into the plurality of topics further comprises ranking the plurality of topics based on a frequency of appearance in the backup;

train the avatar to detect, in the social media platform, a social media item that shares at least one topic of the plurality of topics from the backup and perform a user action in accordance with the action profile, wherein training the avatar further comprises weighting high-ranked topics higher than low-ranked topics such that the avatar has a greater likelihood of performing an available user action on the social media platform for the high-ranked topics than the low-ranked topics, and wherein weights of the trained avatar are updated in response to each new backup generated of the at least one computing device; and

execute the trained avatar to perform actions on behalf of the user on the social media platform.

11 . The system of claim 10 , wherein the social media platform is a metaverse-based application, and wherein the trained avatar performs actions on behalf of the user when the user is not manually accessing the metaverse-based application.

12 . The system of claim 10 , wherein the hardware processor is configured to generate the action profile by:

identifying a plurality of available user actions on the social media platform;

identifying a plurality of content types on which the plurality of available user actions can be executed;

for each respective user action of the plurality of available user actions and each respective content type of the plurality of content types:

determining a likelihood of the respective content type appearing on the social media platform;

determining an amount of times the user executed the respective user action on the respective content type; and

storing the likelihood and the amount of times in the action profile.

13 . The system of claim 10 , wherein the backup is a first backup, wherein the hardware processor is configured to:

retrieve a second backup that is more recently generated than the first backup;

identify another plurality of data items in the second backup;

classify the another plurality of data items into another plurality of topics;

weight topics for the avatar such that the another plurality of topics are weighted higher than the plurality of topics.

14 . The system of claim 10 , wherein the at least one data source is an email database, an application database, a documents database, or a media database.

15 . The system of claim 10 , wherein a data item is a photo, and wherein the hardware processor is configured to classify the data item into a topic by:

detecting an object in the photo; and

classifying the object into a first topic.

16 . The system of claim 10 , wherein a data item is a transaction confirmation document, and wherein the hardware processor is configured to classify the data item into a topic by:

identifying an asset that is part of the transaction confirmation document; and

classifying the asset into a first topic.

17 . The system of claim 10 , wherein an available user action is posting media, commenting on a post, liking a post, disliking a post, following another user, unfollowing the another user, making a transaction, or subscribing to a channel.

18 . A non-transitory computer readable medium storing computer executable instructions for generating a user behavioral avatar for a user based on backup of personalized user data, including instructions for:

receiving a request to generate an avatar that performs actions on behalf of a user on a social media platform;

identifying a plurality of historical user actions manually taken by the user on the social media platform;

generating, based on the plurality of historical user actions, an action profile that represents user tendencies for executing available actions on the social media platform;

retrieving a backup of at least one computing device associated with the user, wherein the backup comprises information from at least one data source that is not the social media platform;

identifying a plurality of data items in the backup;

classifying the plurality of data items into a plurality of topics, wherein classifying the plurality of data items into the plurality of topics further comprises ranking the plurality of topics based on a frequency of appearance in the backup;

training the avatar to detect, in the social media platform, a social media item that shares at least one topic of the plurality of topics from the backup and perform a user action in accordance with the action profile, wherein training the avatar further comprises weighting high-ranked topics higher than low-ranked topics such that the avatar has a greater likelihood of performing an available user action on the social media platform for the high-ranked topics than the low-ranked topics, and wherein weights of the trained avatar are updated in response to each new backup generated of the at least one computing device; and

executing the trained avatar to perform actions on behalf of the user on the social media platform.