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Context-Aware Content Adaptation for Personalised Social Media Access

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Social Media Retrieval

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

Accessing, sharing, and delivering social media involve online user-to-user social interactions. These interactions can be characterised by one-to-many or many-to-many communications established amongst numerous users. This in turn makes the whole environment a very heterogeneous one, comprising diverse user devices, fixed and mobile access network technologies, content representation formats, user needs and preferences, and media usage and consumption environment characteristics. Owing to this very heterogeneous nature of social media access, personalised access to the social media is a significant challenge for maximising the user experience and satisfaction. This chapter presents context-aware social media content adaptation as the key technology to address this challenge. It introduces the importance of context awareness in personalised social media access, and how it can be coupled with content adaptation and adaptation decision-taking mechanisms to provide a complete solution for both the technical and non-technical (i.e. social) challenges faced. Detailed discussions focus on describing various adaptation and decision-taking types and operations while also pointing at a number of open issues for future research, so as to address those highlighted challenges for realising true personalised social media access environments.

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Acknowledgments

The authors would like to thank their past and present I-Lab colleagues as well as the partners of the EU-sponsored collaborative research projects, particularly those participated in VISNET II NoE, who provided the inspirations for composing some of the discussions presented in this chapter.

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Authors and Affiliations

  1. I – Lab Multimedia Communications Research, University of Surrey, Guildford, UK

    Hemantha Kodikara Arachchi & Safak Dogan

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  1. Hemantha Kodikara Arachchi
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Correspondence to Safak Dogan .

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  1. Department of Electronic Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom

    Naeem Ramzan

  2. Director of Product Innovation, Search, Netflix, Winchester Circle 100, Los Gatos, 95032, California, USA

    Roelof van Zwol

  3. School of Integrated Technology, Yonsei University, 162-1 Songdo-dong, Yeonsu-gu, Incheon, 406-840, Korea, Republic of (South Korea)

    Jong-Seok Lee

  4. Institut für Telekommunikationssysteme, Technische Universität Berlin, Einsteinufer 17, Berlin, 10587, Germany

    Kai Clüver

  5. Media Computing Group, Microsoft Research, 555 108th Ave NE, Bellevue, 98004, Washington, USA

    Xian-Sheng Hua

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Arachchi, H.K., Dogan, S. (2013). Context-Aware Content Adaptation for Personalised Social Media Access. In: Ramzan, N., van Zwol, R., Lee, JS., Clüver, K., Hua, XS. (eds) Social Media Retrieval. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-4555-4_14

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