Systems and methods for generating content sharing platform recommendations using machine learning

A system comprising:

• a memory;
• and
• a processing device, coupled to the memory, the processing device to perform operations comprising:
• identifying a channel associated with a user of a content sharing platform;
• providing an indication of one or more channel related features associated with the channel as input to an artificial intelligence (AI) model, wherein the AI model is trained to predict a number of new users to obtain at least one content access level for the channel within a predetermined time of an effective date of the at least one content access level for the channel;
• and
• obtaining one or more outputs of the AI model, wherein the one or more obtained outputs comprise a predicted number of new users to obtain at least one content access level for the channel within a predetermined time of an effective date of the at least one content access level for the channel;
• and
• providing, for presentation on a client device of the user, a recommendation reflecting the predicted number of new users to obtain the at least one content access level within the predetermined time of the effective date of the at least one content access level for the channel.

A non-transitory computer-readable medium comprising instructions that, responsive to execution by a processing device, cause the processing device to perform operations comprising:

• identifying a channel associated with a user of a content sharing platform;
• providing an indication of one or more channel related features associated with the channel as input to an artificial intelligence (AI) model, wherein the AI model is trained to predict a number of new users to obtain at least one content access level for the channel within a predetermined time of an effective date of the at least one content access level for the channel;
• and
• obtaining one or more outputs of the AI model, wherein the one or more obtained outputs comprise a predicted number of new users to obtain at least one content access level for the channel within a predetermined time of an effective date of the at least one content access level for the channel;
• and
• providing, for presentation on a client device of the user, a recommendation reflecting the predicted number of new users to obtain the at least one content access level within the predetermined time of the effective date of the at least one content access level for the channel.