Cross Data Set Knowledge Distillation for Training Machine Learning Models

A method for training a text-to-content recommendation machine-learning (ML) model, the method comprising:

• training a first ML model using a first training data set;
• utilizing the trained first ML model to infer information about the data contained in the first training data set;
• collecting the inferred information to generate a second training data set;
• and
• utilizing the first training data set and the second training data set to train a second ML model,
• wherein the second ML model is a text-to-content recommendation ML model.

A non-transitory computer readable medium on which are stored instructions that, when executed, cause a programmable device to:

• train a first machine-learning (ML) model using a first training data set;
• utilize the trained first ML model to infer information about the data contained in the first training data set;
• collect the inferred information to generate a second training data set;
• and
• utilize the first training data set and the second training data set to train a second ML model,
• wherein the second ML model is a text-to-content recommendation ML model.