Abstract: A computer-implemented method incorporating machine learning (e.g., a support vector machine) for predicting worldwide box office performance of a film prior to its release date, wherein the predicted performance determination is based upon a total audience size relative to a corresponding movie production budget. Total audience size estimate relative to movie production budget is based upon objective likely patterns of competitive dynamics on a particular date, without reliance upon potentially-misleading subjective evaluations.

Abstract: A computer-implemented method incorporating machine learning (e.g., a support vector machine) for predicting worldwide box office performance of a film prior to its release date, wherein the predicted performance determination is based upon a total audience size relative to a corresponding movie production budget. Total audience size estimate relative to movie production budget is based upon objective likely patterns of competitive dynamics on a particular date, without reliance upon potentially-misleading subjective evaluations.

Abstract: A computer-implemented method incorporating machine learning (e.g., a support vector machine) for predicting worldwide box office performance of a film prior to its release date, wherein the predicted performance determination is based upon a total audience size relative to a corresponding movie production budget. Total audience size estimate relative to movie production budget is based upon objective likely patterns of competitive dynamics on a particular date, without reliance upon potentially-misleading subjective evaluations.