Assessing movie similarity using a multilayer network model - Archive ouverte HAL
Communication Dans Un Congrès Année : 2021

Assessing movie similarity using a multilayer network model

Youssef Mourchid
Benjamin Renoust
Mohammed El Hassouni
  • Fonction : Auteur

Résumé

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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Dates et versions

hal-03200632 , version 1 (16-04-2021)
hal-03200632 , version 2 (27-04-2021)

Identifiants

  • HAL Id : hal-03200632 , version 1

Citer

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-03200632v1⟩
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