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USSAP: Universal Smart Social Adaptation Platform
Author(s) -
Adel Alti,
Sébastien Laborie,
Philippe Roose
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.05.070
Subject(s) - adaptation (eye) , computer science , cloud computing , originality , context (archaeology) , service (business) , selection (genetic algorithm) , world wide web , order (exchange) , quality (philosophy) , multimedia , artificial intelligence , business , finance , epistemology , paleontology , philosophy , physics , creativity , law , political science , optics , biology , operating system , marketing
This paper presents an approach to enhance users experience through the use of recommendations and social networks for on-the-fly (at runtime) adaptation of multimedia documents. The originality of the dedicated social and context-aware of quality service composition paths is that relies on contextual information collection with history-based service cloud selection and social media analysis technics, for providing the right service to the right user on the right time and on the right place and to deploy customizable services inside one application. We show that our approach successfully and efficiently captures online social experiences in order to improve assembly of potential adaptation services and the effectiveness of our approac

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