Cross-entity similarity determinations using machine learning frameworks

Abstract

There is a need for faster and more accurate predictive data analysis steps/operations. This need can be addressed by, for example, techniques for efficient predictive data analysis steps/operations. In one example, a method includes identifying a first predictive entity embedding for the first predictive entity and a second predictive entity embedding for a second predictive entity; determining, using a similarity determination machine learning model and based at least in part on the first predictive entity embedding and the second predictive entity embedding, a predicted cross-entity similarity measure; and performing one or more prediction-based actions based at least in part on the predicted cross-entity similarity measure.