ARIA

Association Francophone de Recherche d’Information (RI) et Applications

Actes de CORIA 2015
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Auteurs

Cédric Richier, Georges Linarès, Rachid El Azouzi, Tania Jiménez, Eitan Altman, Yonathan Portilla

Résumé

Cet article est une étude de l’évolution du nombre de vues des contenus dans You-

Abstract

The goal of this paper is to study the behaviour of view count in YouTube. We first propose several bio-inspired and economy-inspired models for the evolution of the view count of YouTube videos. We show, using a large set of empirical data, that the view count for 90% of videos in YouTube can indeed be associated to at least one of these models, with a Mean Error which does not exceed 5%. We derive automatic ways of classifying the view count curve into one of these models and of extracting the most suitable parameters of the model. We study empirically the impact of videos' popularity and category on the evolution of its view count. We finally use the above classification along with the automatic parameters extraction in order to predict the evolution of videos' view count.

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A Propos

ARIA (Association Francophone de Recherche d’Information (RI) et Applications) est une société savante, association loi 1901, ayant pour but de promouvoir le savoir et les connaissances du domaine de la Recherche d’Information (RI) et des divers domaines scientifiques en jeu dans la conception, la réalisation et l’évaluation des systèmes de Recherche d’Information.