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dc.contributor.authorAlbanese M
dc.contributor.authord'Acierno A
dc.contributor.authorMoscato V
dc.contributor.authorPersia F
dc.contributor.authorPicariello A
dc.contributor.editorChen SC
dc.contributor.editorShyu ML
dc.date.accessioned2019-09-30T10:16:52Z
dc.date.available2019-09-30T10:16:52Z
dc.date.issued2013
dc.identifier.isbn978-146662940-0
dc.identifier.urihttp://dx.doi.org/10.4018/978-1-4666-2940-0.ch015
dc.identifier.urihttps://www.igi-global.com/article/novel-strategy-recommending-multimedia-objects/61309
dc.identifier.urihttps://bia.unibz.it/handle/10863/10682
dc.description.abstractOne of the most important challenges in the information access field, especially for multimedia repositories, is information overload. To cope with this problem, in this paper, the authors present a strategy for a recommender system that computes customized recommendations for users' accessing multimedia collections, using semantic contents and low-level features of multimedia objects, past behaviour of individual users, and social behaviour of the users' community as a whole. The authors implement their strategy in a recommender prototype for browsing image digital libraries in the Cultural Heritage domain. They then investigate the effectiveness of the proposed approach, based on the users' satisfaction. The preliminary experimental results show that the approach is promising and encourages further research in this direction.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherInformation Science Referenceen_US
dc.relation
dc.rights
dc.titleA Novel Strategy for Recommending Multimedia Objects and its Application in the Cultural Heritage Domainen_US
dc.typeBook chapteren_US
dc.date.updated2019-09-12T03:01:13Z
dc.publication.titleMultimedia data engineering applications and processing
dc.language.isiEN-GB
dc.description.fulltextnoneen_US


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