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Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large Language Model as the Expert
April 12, 2024, 4:41 a.m. | Mohammad Alipour-Vaezi, Kwok-Leung Tsui
cs.LG updates on arXiv.org arxiv.org
Abstract: Portfolio management is one of the unresponded problems of the Motion Pictures Industry (MPI). To design an optimal portfolio for an MPI distributor, it is essential to predict the box office of each project. Moreover, for an accurate box office prediction, it is critical to consider the effect of the celebrities involved in each MPI project, which was impossible with any precedent expert-based method. Additionally, the asymmetric characteristic of MPI data decreases the performance of …
abstract arxiv box cs.ai cs.lg data data-driven design expert industry language language model large language large language model management math.oc methodology mpi office optimization portfolio project type
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