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

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

This ebook constitutes the refereed court cases of the eighth overseas 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 various submissions. The papers are prepared in topical sections on Context-based personalization; media details fusion; video retrieval; audio and song retrieval; adaptive similarities; and discovering and organizing.

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Despite some structured representations are available, are discussed and Multimedia Information Personalized Search 43 are exploited for these resources, we adopted also a simplified vector representation that facilitates the matching and filtering processes that lead to the final personalized results list. The present paper proposes a model that enables to semantically describe the multimedia content. This model is presented in the context of existing approaches that adopt ontologies in order to annotate multimedia resources.

LNCS (LNAI), vol. 3538, pp. 428–432. Springer, Heidelberg (2005) 18. : Introduction to the special issue on word sense disambiguation: The state of the art. Comput. Linguist. 24(1), 2–40 (1998) 19. : A general user modelling facility. In: SIGCHI Conference on Human Factors in Computing Systems, Washington, USA, pp. 145–150 (1988) 20. : Generic user modeling systems. User Modeling and User-Adapted Interaction 11(1-2), 49–63 (2001) 21. : Adaptive multimodal presentation of multimedia content in museum scenarios.

A user model is represented in a three-dimensional space. The two generalized dimensions of this representation are users and items. These dimensions are called generalized because they may be described by sets of specific attributes. In order to facilitate provision of context-aware recommendation, the above two dimensions are extended by a third general dimension, indicating various contextual conditions and attributes that may be considered by the recommender system. 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.

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