Systems and methods for proactively providing recommendations to a user of a computing device

A non-transitory computer readable storage medium configured to store instructions that, when executed by at least one processor included in a computing device, cause the computing device to proactively provide digital asset recommendations to a user of the computing device, by carrying out steps that include:

• detecting a user input corresponding to a user interface of the computing device;
• identifying, among a plurality of prediction engines executing on the computing device, a subset of prediction engines that are registered as being qualified to provide predictions about a prediction category to which the user input corresponds;
• providing, to each prediction engine of the subset of prediction engines executing on the computing device, a respective request for a respective ordered list of digital assets that are most-relevant to the user of the computing device;
• aggregating the respective ordered lists of digital assets to generate an optimized ordered list of digital assets that are most-relevant to the user of the computing device;
• and
• displaying, within the user interface of the computing device, a respective representation of at least one digital asset included in the optimized ordered list of digital assets.

A computing device configured to proactively provide digital asset recommendations to a user of the computing device, the computing device comprising:

• at least one processor;
• and
• at least one memory storing instructions that, when executed by the at least one processor, cause the computing device to carry out steps that include:
• detecting a user input corresponding to a user interface of the computing device;
• identifying, among a plurality of prediction engines executing on the computing device, a subset of prediction engines that are registered as being qualified to provide predictions about a prediction category to which the user input corresponds;
• providing, to each prediction engine of the subset of prediction engines executing on the computing device, a respective request for a respective ordered list of digital assets that are most-relevant to the user of the computing device;
• aggregating the respective ordered lists of digital assets to generate an optimized ordered list of digital assets that are most-relevant to the user of the computing device;
• and
• displaying, within the user interface of the computing device, a respective representation of at least one digital asset included in the optimized ordered list of digital assets.