Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features

Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic. Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manage., 61(2):103610, March 2024. [doi]

@article{MotamediKSEBT24,
  title = {Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features},
  author = {Elham Motamedi and Danial Khosh Kholgh and Sorush Saghari and Mehdi Elahi and Francesco Barile and Marko Tkalcic},
  year = {2024},
  month = {March},
  doi = {10.1016/j.ipm.2023.103610},
  url = {https://doi.org/10.1016/j.ipm.2023.103610},
  researchr = {https://researchr.org/publication/MotamediKSEBT24},
  cites = {0},
  citedby = {0},
  journal = {Inf. Process. Manage.},
  volume = {61},
  number = {2},
  pages = {103610},
}