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

Tags:

Theses

Home
Search
All

Theses / Personal

Roberta Calegari
Matteo Casadei
Giovanni Ciatto
Enrico Denti
Stefano Mariani
Ambra Molesini
Sara Montagna
Andrea Omicini
Alessandro Ricci
Mirko Viroli

Theses / Views

Home
— clouds
tags
— per status
completed | ongoing
— per year & cycle
2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013–1995
1st cycle | 2nd cycle | 3rd cycle

Thesis

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out-of-date thesis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