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Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. (arXiv:2208.13302v1 [cs.LG])
Aug. 30, 2022, 1:11 a.m. | Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski
cs.LG updates on arXiv.org arxiv.org
Context: The number of TV series offered nowadays is very high. Due to its
large amount, many series are canceled due to a lack of originality that
generates a low audience.
Problem: Having a decision support system that can show why some shows are a
huge success or not would facilitate the choices of renewing or starting a
show.
Solution: We studied the case of the series Arrow broadcasted by CW Network
and used descriptive and predictive modeling techniques to …
More from arxiv.org / cs.LG updates on arXiv.org
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