Improving photo recommendation with context awareness
Proceedings of the 18th Brazilian symposium on Multimedia and the web
SNOPS: a smart environment for cultural heritage applications
Proceedings of the twelfth international workshop on Web information and data management
Burst the filter bubble: using semantic web to enable serendipity
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
International Journal of Multimedia Data Engineering & Management
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One of the most important challenge in the information access field is information overload. To cope with this problem, in this paper, we present a strategy for a semantic multimedia recommender system that computes customized recommendations using semantic contents and low-level features of multimedia objects, past behavior of individual users and behavior of the users' community as a whole. We have implemented a recommender prototype for browsing the Uffizi Gallery digital picture collection. Then, we investigated the effectiveness of the proposed approach, based on the users satisfaction. The obtained preliminary experimental results show that our approach is quite promising and encourages further research in this direction.