User Profiles Matching for Different Social Networks Based on Faces Identification

• Timur Sokhin ^[1] ; Nikolay Butakov ^[1] ; Denis Nasonov ^[1]
  1. [1] Saint Petersburg State University of Information Technologies, Mechanics and Optics

     Saint Petersburg State University of Information Technologies, Mechanics and Optics

     Rusia

     
• Localización: Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings / coord. por Hilde Pérez García, Lidia Sánchez González, Manuel Castejón Limas, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2019, ISBN 978-3-030-29858-6, págs. 551-562
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • It is common practice nowadays to use multiple social networks for different social roles. Although this, these networks assume differences in content type, communications and style of speech. If we intend to understand human behaviour as a key-feature for recommender systems, banking risk assessments or sociological researches, this is better to achieve using a combination of the data from different social media. In this paper, we propose a new approach for user profiles matching across social media based on publicly available users’ face photos and conduct an experimental study of its efficiency. Our approach is stable to changes in content and style for certain social media.