Memorias de investigación
Ponencias en congresos:
A Model for Proactivity in Mobile, Context-aware Recommender Systems
Año:2011
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
A proactive recommender system pushes recommendations to the user when the current situation seems appropriate, without explicit user request. This is conceivable in mobile scenarios such as restaurant or gas station recommendations. In this paper, we present a model for proactivity in mobile recommender systems. The model relies on domain-dependent context modeling in several categories. The recommendation process is divided into two phases to first analyze the current situation and then examine the suitability of particular items. We have implemented a prototype gas station recommender and conducted a survey for evaluation. Results showed good correlation of the output of our system with the assessment of users regarding the question when to generate recommendations.
Internacional
Si
Nombre congreso
5th ACM International Conference on Recommender Systems
Tipo de participación
960
Lugar del congreso
Chicago, IL, USA, October
Revisores
Si
ISBN o ISSN
978-1-4503-0683-6
DOI
Fecha inicio congreso
23/10/2011
Fecha fin congreso
27/10/2011
Desde la página
273
Hasta la página
276
Título de las actas
Proceedings of the fifth ACM conference on Recommender systems
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Daniel Gallego Vico UPM
  • Autor: Wolfgang Woerndl Technical University of Munich
  • Autor: Johannes Huebner Technical University of Munich
  • Autor: Roland Bader Technical University of Munich
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Internet de Nueva Generación
  • Departamento: Ingeniería de Sistemas Telemáticos