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
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Thesis

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

Supervision

— supervisor

Andrea Omicini

— co-supervisor

Stefano Mariani

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— cycle

second-cycle thesis

— status

out-of-date thesis

— language

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Dates

— available since

15/03/2018

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