Abstract
Multimedia data collections immersed into social networks may be explored from the point of view of varying documents and users characteristics. In this paper, we develop a unified model to embed documents, concepts and users into coherent structures from which to extract optimal subsets and to diffuse information. The result is the definition information propagation strategies and of active guiding navigation strategies of both the user and document networks, as a complement to classical search operations. Example benefits brought by our model are provided via experimental results.
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Marchand-Maillet, S., Morrison, D., Szekely, E., Kludas, J., Vonwyl, M., Bruno, E. (2011). Mining Networked Media Collections. In: Detyniecki, M., GarcÃa-Serrano, A., Nürnberger, A. (eds) Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User. AMR 2009. Lecture Notes in Computer Science, vol 6535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18449-9_1
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DOI: https://doi.org/10.1007/978-3-642-18449-9_1
Publisher Name: Springer, Berlin, Heidelberg
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