Modelling and Data Analysis
2023. Vol. 13, no. 2, 77–84
doi:10.17759/mda.2023130204
ISSN: 2219-3758 / 2311-9454 (online)
Forecasting the Rating of a New Movie Based on its Metadata
Abstract
The article describes an approach to predicting the rating of a new film based on data known prior to its release, using classic machine learning models.
General Information
Keywords: machine learning, film rating prediction
Journal rubric: Data Analysis
Article type: scientific article
DOI: https://doi.org/10.17759/mda.2023130204
Received: 17.03.2023
Accepted:
For citation: Sologub, G.B., Sazon, N.S. (2023). Forecasting the Rating of a New Movie Based on its Metadata. Modelling and Data Analysis, 13(2), 77–84. (In Russ.). https://doi.org/10.17759/mda.2023130204
References
- Baev M.A. Predicting movie ratings on IMDB. Materials of the 60th International Student Scientific Conference. Novosibirsk, 2022 - p. 281.
- Kirilina N.A., Gorbanyova E.N. Application of machine learning algorithms randomforest, gradientboosting, kneighbors for predicting box office revenues of movies. Software Engineering: Modern Trends in Development and Application (PI-2019) Kursk, March 11-12, 2019 - p. 25-28.
- IMDB Datasets [https://datasets.imdbws.com/].
- Google Colab [Electronic resource]. - Access mode: https://colab.research.google.com/ (accessed on September 01, 2022).
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