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Assessing movie similarity using a multilayer network model

Abstract : This work investigates the movie similarity issue. A multilayer network model capturing various aspects of the story is built from movie scripts. Based on this representation, movies are compared not from summary or actors but using their storyboard. We rely on the "Portrait divergence" to quantify distances between graph characteristics. We illustrate the effectiveness of this approach in comparing movie series.
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https://hal.archives-ouvertes.fr/hal-03200632
Contributor : Youssef Mourchid <>
Submitted on : Tuesday, April 27, 2021 - 5:21:22 PM
Last modification on : Saturday, May 1, 2021 - 3:36:25 AM

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CCS__France_2021_paper_70.pdf
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  • HAL Id : hal-03200632, version 2

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Majda Lafhel, Youssef Mourchid, Benjamin Renoust, Hocine Cherifi, Mohammed El Hassouni. Assessing movie similarity using a multilayer network model. French Regional Conference on Complex Systems, May 2021, DIJON, France. ⟨hal-03200632v2⟩

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