Context Awareness in the Travel Companion of the Shift2Rail Initiative

Providing personalized offers, and services in general, for the users of a system requires perceiving the context in which the users’ preferences are rooted. In this work, we introduce the use of an already known model and methodology – based on the so-called Context Dimen- sion Tree – along with a conceptual architecture to build a recommender system that offers personalized services for travelers. The research is per- formed in the frame of the Shift2Rail initiative as part of the Innovation Programme 4 of EU Horizon 2020.

Country

Italy

Related Organizations

Polytechnic University of Milan
Italy

Keywords

Context dimension tree, Journey Planning, Preferences, Data Tailoring, Data tailoring, Recommender systems, Recommender Systems, Context Dimension Tree, Journey planning

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