Property-based collaborative filtering for health-aware recommender systems

  • Authors:

  • Martín López-Nores;Yolanda Blanco-Fernández;José J. Pazos-Arias;Alberto Gil-Solla

  • Affiliations:

  • Department of Telematics Engineering, University of Vigo, EE Telecomunicación, Campus Universitario s/n, 36310 Vigo, Spain;Department of Telematics Engineering, University of Vigo, EE Telecomunicación, Campus Universitario s/n, 36310 Vigo, Spain;Department of Telematics Engineering, University of Vigo, EE Telecomunicación, Campus Universitario s/n, 36310 Vigo, Spain;Department of Telematics Engineering, University of Vigo, EE Telecomunicación, Campus Universitario s/n, 36310 Vigo, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

Recommender systems aim at solving the problem of information overload by selecting items (commercial products, educational assets, TV programs, etc.) that match the consumers' interests and preferences. Recently, there have been approaches to drive the recommendations by the information stored in electronic health records, for which the traditional strategies applied in online shopping, e-learning, entertainment and other areas have several pitfalls. This paper addresses those problems by introducing a new filtering strategy, centered on the properties that characterize the items and the users. Preliminary experiments with real users have proved that this approach outperforms previous ones in terms of consumers' satisfaction with the recommended items. The benefits are especially apparent among people with specific health concerns.