APICe » Theses » ConRec: A Recommender System featuring Spatial, Temporal, and Personal Context

ConRec: A Recommender System featuring Spatial, Temporal, and Personal Context 


The thesis aims at designing a prototype Recommender System (ConRec) able to give recommendation messages regarding healthcare domain influenced by the spatial, temporal, and personal (preferences, clinical data, etc.) context of the target patient.

Keywords: recommender systems, recommendation, context


Stefano Mariani (Contact)
Andrea Omicini (Supervisor)
Stefano Mariani (Co-supervisors)