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.
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Roberta CalegariMatteo CasadeiGiovanni CiattoEnrico DentiStefano MarianiAmbra MolesiniSara MontagnaAndrea OmiciniAlessandro RicciMirko Viroli
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ConRec: A Recommender System featuring Spatial, Temporal, and Personal Context
Supervision
— supervisor
Andrea Omicini
— co-supervisor
Stefano Mariani
Sort
— cycle
second-cycle thesis
— status
out-of-date thesis
— language
Dates
— available since
15/03/2018