Italy’s Cultural Heritage is the world’s most diverse and rich patrimony and attracts millions of visitors every year to monuments, archaeological sites and museums. The valorization of cultural heritage represents nowadays one of the most important research challenges in the Italian scenario. In this paper, we present a general multimedia recommender system able to uniformly manage heterogeneous multimedia data and to provide context-aware recommendation techniques supporting intelligent multimedia services for the users. A specific application of our system within the cultural heritage domain is proposed by means of a real case study in the mobile environment related to an outdoor scenario, together with preliminary results on user’s satisfaction.

Recommending Multimedia Objects in Cultural Heritage Applications

PENSA, Ruggero Gaetano;PENTA, ANTONIO;SAPINO, Maria Luisa
2013-01-01

Abstract

Italy’s Cultural Heritage is the world’s most diverse and rich patrimony and attracts millions of visitors every year to monuments, archaeological sites and museums. The valorization of cultural heritage represents nowadays one of the most important research challenges in the Italian scenario. In this paper, we present a general multimedia recommender system able to uniformly manage heterogeneous multimedia data and to provide context-aware recommendation techniques supporting intelligent multimedia services for the users. A specific application of our system within the cultural heritage domain is proposed by means of a real case study in the mobile environment related to an outdoor scenario, together with preliminary results on user’s satisfaction.
2013
Inglese
contributo
4 - Workshop
2nd International Workshop on Multimedia for Cultural Heritage - MM4CH 2013
Napoli, Italy
September 9, 2013
Internazionale
New Trends in Image Analysis and Processing, ICIAP 2013 Workshops
Esperti anonimi
SPRINGER-VERLAG
Berlin
GERMANIA
8158
257
267
11
9783642411892
http://imagelab.ing.unimore.it/mm4ch2013/
http://link.springer.com/chapter/10.1007/978-3-642-41190-8_28
Recommender Systems; Data Mining; Cultural Heritage
no
1 – prodotto con file in versione Open Access (allegherò il file al passo 6 - Carica)
7
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
I. Bartolini; V. Moscato; R.G. Pensa; A. Penta; A. Picariello; C. Sansone; M.L. Sapino
273
open
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/137482
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