This PhD thesis presents ART (Automatic Recommendation Technologies), a set of group recommendation algorithms that detect groups of users with similar preferences. With respect to classic group recommendation, the first step that such systems have to compute is the detection of groups of people with similar preferences, in order to respect the constraint on the number of recommendations that can be produced and maximize users' satisfaction.
Group recommendation with automatic detection and classification of groups
2012
Abstract
This PhD thesis presents ART (Automatic Recommendation Technologies), a set of group recommendation algorithms that detect groups of users with similar preferences. With respect to classic group recommendation, the first step that such systems have to compute is the detection of groups of people with similar preferences, in order to respect the constraint on the number of recommendations that can be produced and maximize users' satisfaction.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
PhD_Boratto_Ludovico.pdf
accesso solo da BNCF e BNCR
Tipologia:
Altro materiale allegato
Licenza:
Tutti i diritti riservati
Dimensione
1.68 MB
Formato
Adobe PDF
|
1.68 MB | Adobe PDF |
I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14242/325202
Il codice NBN di questa tesi è
URN:NBN:IT:BNCF-325202