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Multimedia Documents Adaptation Based on Semantic Multi-Partite Social Context-Aware Networks

Multimedia Documents Adaptation Based on Semantic Multi-Partite Social Context-Aware Networks

Alti Adel, Roose Philippe, Laborie Sébastien
Copyright: © 2017 |Volume: 9 |Issue: 3 |Pages: 16
ISSN: 1942-9010|EISSN: 1942-9029|EISBN13: 9781522512615|DOI: 10.4018/IJVCSN.2017070104
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MLA

Adel, Alti, et al. "Multimedia Documents Adaptation Based on Semantic Multi-Partite Social Context-Aware Networks." IJVCSN vol.9, no.3 2017: pp.44-59. http://doi.org/10.4018/IJVCSN.2017070104

APA

Adel, A., Philippe, R., & Sébastien, L. (2017). Multimedia Documents Adaptation Based on Semantic Multi-Partite Social Context-Aware Networks. International Journal of Virtual Communities and Social Networking (IJVCSN), 9(3), 44-59. http://doi.org/10.4018/IJVCSN.2017070104

Chicago

Adel, Alti, Roose Philippe, and Laborie Sébastien. "Multimedia Documents Adaptation Based on Semantic Multi-Partite Social Context-Aware Networks," International Journal of Virtual Communities and Social Networking (IJVCSN) 9, no.3: 44-59. http://doi.org/10.4018/IJVCSN.2017070104

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Abstract

Advanced social network applications and technologies offer a wide range of opportunities for experts and developers to exploit efficiently a large amount of services and user-generated content produced through social networking. The mobile user prefers to use mobile devices to ask for relevant services and hope to get replies the sooner possible. The efficient selection of relevant services according to user's needs and preferences in real time is becoming a challenging task. This article presents an efficient multimedia document adaptation approach. It's based on various entities of various social networks, such as users, tags and services, with semantic relations between them. Such networks are known as multi-partite and can be used for determining relevant adaptation actions that the user has the fully exploitation of multimedia documents. The author's goal is to improve the assembly of potential adaptation services and the efficiency and effectiveness of the approach for communities' inferred social influence from a Twitter and Facebook as virtual semantic social networks environment.

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