Adaptive Multimedia Retrieval. Context, Exploration, and by Stephan Baumann, Rafael Schirru, Bernhard Streit (auth.),

By Stephan Baumann, Rafael Schirru, Bernhard Streit (auth.), Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober (eds.)

This ebook constitutes the refereed lawsuits of the eighth foreign convention on Adaptive Multimedia Retrieval, AMR 2010, held in Linz, Austria, in August 2010. The 14 revised complete papers and the invited contribution provided have been conscientiously reviewed and chosen from quite a few submissions. The papers are geared up in topical sections on Context-based personalization; media details fusion; video retrieval; audio and tune retrieval; adaptive similarities; and discovering and organizing.

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582–591. Springer, Heidelberg (2004) 5. : COMM: Designing a well-founded multimedia ontology for the web. , Cudr´e-Mauroux, P. ) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 30–43. option=com content&task=view&id= 39&Itemid=55 44 M. Brut and F. Sedes 6. : A framework to enable the semantic inferencing and querying of multimedia content. Int. J. Web Engineering and Technology 2(2/3), 264–286 (2005) 7. : METIS: a flexible foundation for the unified management of multimedia assets. Multimed. Tools and Applications 33, 325–349 (2007) 8.

The mediation process includes a target recommender system that is the system requested to provide personalized recommendations to the user and one or more remote recommender systems that may provide pertinent user model data (past experiences) to the target recommender system. 24 A. Nika et al. The authors have defined four major types of mediation. The first type is called cross-representation mediation and is performed between experiences having the required values of all three attributes (user, item, context).

Our solution is exposed further, including the multimedia document model, the user profile development and the algorithmic solution that enables to provide personalized results to a user query. Keywords: multimedia management, semantic annotations, ontologies, information indexing, personalized search. 1 Introduction In the context of the multimedia information systems with an increasing number of available resources, the searching activity should be tailored to each user needs and interests. In order to be effective, the results provided to a user query should be provided according to the current user profile, which could include his/her preferences, tastes, backgrounds, knowledge or interests.

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