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
Thesis Data
Supervision
(contact)
(supervisor)
(co-supervisors)
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2nd Cycle Thesis
Status
available
Language
Dates
(available since)
15/03/2018