Property-based collaborative filtering for health-aware recommender systems
Martín López‐Nores, Yolanda Blanco‐Fernández, Jose Juan Pazos-Arias, Jorge García‐Duque, Alberto Gil‐Solla · 2011
Recommender systems aim at solving the problem of information overload by selecting items (commercial products, educational assets, TV programs, etc) that match the users' 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 e-commerce, e-learning, entertainment and other areas have several pitfalls. We address those problems by introducing a filtering strategy centered on the properties that characterize the items and the users, which in turn serves to present the recommendations in a much more enticing manner.