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Online Social Media Content Delivery

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-981-10-2774-1

ISBN: 978-981-10-2773-4

Publisher: Springer Singapore - Springer Journals

Aug 1, 2018

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Introduction

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

Pages: 1 –6

[In this chapter, we provide a review of online video content delivery, presenting the traditional video delivery approaches and the facing challenges. To satisfy the trend for content to be dynamically processed before being delivered to users, we propose a joint online processing and delivery...
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Joint Content- and Social-Based User Preference Mining

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

Pages: 7 –32

[Understanding user preference is the key to efficient social content delivery, while user preference can be inferred from both content and social aspects in the context of online social content delivery. The chapter presents a general framework to understand user preference.]
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Enhancing Multimedia Network Resource Allocation Using Social Prediction

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

Pages: 33 –55

[Network resource allocationNetwork resource allocation is the foundation for content delivery. In an online social networkOnline social network, prediction of social behaviors provides an indicator for resource allocation. This chapter presents strategies to enhance the performance of network...
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Propagation-Based Social Video Content Replication

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

Pages: 57 –83

[Content propagates across the social connections between people in the online social networkOnline social network. The propagation patterns affect how content reaches different users, making it promising to deploy content according to the social propagation. This chapter explores strategies for...
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Joint Online Processing and Geo-Distributed Delivery for Dynamic Social Streaming

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

Pages: 85 –105

[To satisfy the dynamical demands from different social content consumers, it is promising to “customize” content according to users’ unique demands. Such customization usually requires computation resources in the content delivery flow. This chapter presents some exploration into incorporating...
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Concluding Remarks

Wang, Zhi; Zhu, Wenwu; Yang, Shiqiang

Pages: 107 –108

[It is important to use information from online social networks and online content sharing networks jointly to perform recommendations for user-generated content.]

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