Customized options for consumption of content

A method comprising:

• accessing, by at least one server of a content service provider, data indicative of consumption, by a user device, of a plurality of content assets provided by the content service provider, wherein the data comprises:
• (i) data indicative of playing one or more of the plurality of content assets, (ii) data indicative of interactions with user interface inputs indicating a request for recording of at least one of the plurality of content assets, and (iii) data indicative of trick-play functionality requests for at least one of the plurality of content assets;
• identifying a subset of the data for inferring prospective consumption of content assets by the user device;
• storing in a data structure the subset of the data;
• providing the data structure as an input to an artificial intelligence model that applies machine-learning techniques to generate an inference associated with prospective consumption of at least one content asset by the user device;
• generating a personalized notification message comprising a prompt to access a particular content asset available from the content service provider, wherein the personalized notification message is personalized based on the inference, and wherein the particular content asset is selected based on the inference;
• and
• transmitting the personalized notification message to the user device for display.

A system comprising:

• control circuitry configured to:
• access, by at least one server of a content service provider, data indicative of consumption, by a user device, of a plurality of content assets provided by the content service provider, wherein the data comprises:
• (i) data indicative of play one or more of the plurality of content assets, (ii) data indicative of interactions with user interface inputs indicating a request for recording of at least one of the plurality of content assets, and (iii) data indicative of trick-play functionality requests for at least one of the plurality of content assets;
• identify a subset of the data for inferring prospective consumption of content assets by the user device;
• store in a data structure the subset of the data;
• provide the data structure as an input to an artificial intelligence model that applies machine-learning techniques to generate an inference associated with prospective consumption of at least one content asset by the user device;
• and
• generate a personalized notification message comprising a prompt to access a particular content asset available from the content service provider, wherein the personalized notification message is personalized based on the inference, and wherein the particular content asset is selected based on the inference;
• and
• I/O circuitry configured to:
• transmit the personalized notification message to the user device for display.