Machine learning to allocate resources

A system, comprising:

• a memory comprising computer-executable instructions;
• and
• one or more processors configured to execute the computer-executable instructions and cause the system to perform an operation comprising:
• identifying a plurality of user segments based on a plurality of features describing the users;
• generating, using a trained surrogate model, a first set of predicted conversion scores for the plurality of user segments;
• selecting a first set of user segments, from the plurality of user segments, by processing the first set of predicted conversion scores using an acquisition model;
• and
• generating a first resource allocation for the first set of user segments at a first point in time, wherein at least one user segment not included in the first set of user segments is not allocated resources at the first point in time.

A non-transitory computer-readable media comprising instructions that, when executed by one or more processors of a processing system, cause the processing system to perform an operation comprising:

• identifying a plurality of user segments based on a plurality of features describing the users;
• generating, using a trained surrogate model, a first set of predicted conversion scores for the plurality of user segments;
• selecting a first set of user segments, from the plurality of user segments, by processing the first set of predicted conversion scores using an acquisition model;
• and
• generating a first resource allocation for the first set of user segments at a first point in time, wherein at least one user segment not included in the first set of user segments is not allocated resources at the first point in time.