Observatorio de I+D+i UPM

Descripción
1Personal data is a key asset for many companies, since this is the essence in providing personalized services. Not all companies, and specifically new entrants to the markets, have the opportunity to access the data they need to run their business. In this paper, we describe a comprehensive personal data framework that allows service providers to share and exchange personal data and knowledge about users, while facilitating users to decide who can access which data and why. We analyze the challenges related to personal data collection, integration, retrieval, and identity and privacy management, and present the framework architecture that addresses them. We also include the validation of the framework in a banking scenario, where social and financial data is collected and properly combined to generate new socio-economic knowledge about users that is then used by a personal lending service.
Internacional	Si
Nombre congreso	1st International Workshop on Personalization & Recommender Systems in Financial Services (FINREC).
Tipo de participación	960
Lugar del congreso	Graz, Austria
Revisores	Si
ISBN o ISSN	0000000000000
DOI
Fecha inicio congreso	16/04/2015
Fecha fin congreso	16/04/2015
Desde la página	19
Hasta la página	26
Título de las actas	Proceedings of the 1st International Workshop on Personalization & Recommender Systems in Financial Services ( A. Felfernig, J. Tiihonen, P. Blazek )

Esta actividad pertenece a memorias de investigación

• Autor: Beatriz San Miguel Gonzalez (UPM)
• Autor: Jose Maria del Alamo Ramiro (UPM)
• Autor: Juan Carlos Yelmo Garcia (UPM)

• Creador: Grupo de Investigación: Sistemas de tiempo real y arquitectura de servicios telemáticos
• Departamento: Ingeniería de Sistemas Telemáticos