Social and content hybrid image recommender system for mobile social networks

Sánchez García, Faustino Ángel; Barrilero Gil, Marta; Uribe Mayoral, Silvia; Alvarez Garcia, Federico; Menendez Garcia, Jose Manuel y Tena, Agustín (2012). Social and content hybrid image recommender system for mobile social networks. "Mobile Networks & Applications", v. 17 (n. 6); pp. 782-795. ISSN 1572-8153. https://doi.org/10.1007/s11036-012-0399-6.

Descripción

Título: Social and content hybrid image recommender system for mobile social networks
Autor/es:
  • Sánchez García, Faustino Ángel
  • Barrilero Gil, Marta
  • Uribe Mayoral, Silvia
  • Alvarez Garcia, Federico
  • Menendez Garcia, Jose Manuel
  • Tena, Agustín
Tipo de Documento: Artículo
Título de Revista/Publicación: Mobile Networks & Applications
Fecha: Diciembre 2012
Volumen: 17
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

One of the advantages of social networks is the possibility to socialize and personalize the content created or shared by the users. In mobile social networks, where the devices have limited capabilities in terms of screen size and computing power, Multimedia Recommender Systems help to present the most relevant content to the users, depending on their tastes, relationships and profile. Previous recommender systems are not able to cope with the uncertainty of automated tagging and are knowledge domain dependant. In addition, the instantiation of a recommender in this domain should cope with problems arising from the collaborative filtering inherent nature (cold start, banana problem, large number of users to run, etc.). The solution presented in this paper addresses the abovementioned problems by proposing a hybrid image recommender system, which combines collaborative filtering (social techniques) with content-based techniques, leaving the user the liberty to give these processes a personal weight. It takes into account aesthetics and the formal characteristics of the images to overcome the problems of current techniques, improving the performance of existing systems to create a mobile social networks recommender with a high degree of adaptation to any kind of user.

Más información

ID de Registro: 15558
Identificador DC: http://oa.upm.es/15558/
Identificador OAI: oai:oa.upm.es:15558
Identificador DOI: 10.1007/s11036-012-0399-6
URL Oficial: http://link.springer.com/article/10.1007%2Fs11036-012-0399-6#
Depositado por: Memoria Investigacion
Depositado el: 04 Jun 2013 17:02
Ultima Modificación: 21 Abr 2016 15:41
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