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

Last modified by Stefano Mariani on 27/11/2020 13:09

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
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Thesis Data

2008 © aliCE Research Group @ DEIS, Alma Mater Studiorum-Università di Bologna
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