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