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Recommending Multimedia Objects in Cultural Heritage Applications

Contributo in Atti di convegno
Data di Pubblicazione:
2013
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.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Recommender Systems; Data Mining; Cultural Heritage
Elenco autori:
I. Bartolini; V. Moscato; R.G. Pensa; A. Penta; A. Picariello; C. Sansone; M.L. Sapino
Autori di Ateneo:
PENSA Ruggero Gaetano
SAPINO Maria Luisa
Link alla scheda completa:
https://iris.unito.it/handle/2318/137482
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/137482/21928/mm4ch2013_submission_6_4aperto_1217954.pdf
Titolo del libro:
New Trends in Image Analysis and Processing, ICIAP 2013 Workshops
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Dati Generali

Dati Generali

URL

http://imagelab.ing.unimore.it/mm4ch2013/; http://link.springer.com/chapter/10.1007/978-3-642-41190-8_28
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