Leveraging Machine Learning and Multi-Attribute Decision-Making for Optimal Portfolio Management in the Motion Pictures Industry
This research proposes a comprehensive data-driven optimization methodology to help Motion Pictures Industry (MPI) distributors design an optimal portfolio by predicting box office performance and considering various criteria to maximize profitability and distributor preferences.