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Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension

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  • 1Department of Medical Science, Soonchunhyang University, Asan 31538, Republic of Korea.

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A new model called DRECE uses explainable artificial intelligence (XAI) to analyze Korean film box office trends. This data-driven approach helps industry professionals make informed decisions to improve movie performance and profitability.

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box officeclassificationclusteringdeep autoencoderexplainable artificial intelligencemachine learninguniform manifold approximation and projection

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Area of Science:

  • Artificial Intelligence
  • Machine Learning
  • Data Science

Background:

  • The Korean film industry faces high production costs and intense competition.
  • Informed decision-making is critical for success in this market.
  • Explainable Artificial Intelligence (XAI) is increasingly important for transparency in AI-driven insights.

Purpose of the Study:

  • To introduce DRECE, a novel XAI-powered model for Korean film box office classification and trend analysis.
  • To provide data-driven insights for film industry professionals.
  • To enhance decision-making for improved box office performance and profit maximization.

Main Methods:

  • Dimensionality reduction techniques to transform multi-dimensional data into two dimensions.
  • K-means clustering to group similar data points.
  • Machine learning models for classifying movie clusters.
  • Integration of XAI techniques for transparent decision-making.

Main Results:

  • The DRECE framework enables a transparent and understandable analysis of the Korean film market.
  • Provides valuable insights for identifying box office trends.
  • Facilitates data-driven decisions to optimize movie success.

Conclusions:

  • DRECE offers a new approach to understanding the Korean film market.
  • Empowers film industry professionals with actionable, data-driven insights.
  • Aims to improve box office outcomes and profitability through explainable AI.