Social Media Modeling and Computing (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
286
Utgivningsdatum
2014-08-31
Upplaga
2011 ed.
Förlag
Springer London Ltd
Medarbetare
Boll, Susanne (ed.), Hoi, Steven C. H. (ed.), Jin, Rong (ed.), King, Irwin (ed.), Luo, Jiebo (ed.), Xu, Dong (ed.)
Illustrationer
XIII, 286 p.
Dimensioner
234 x 156 x 16 mm
Vikt
427 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9781447159360

Social Media Modeling and Computing

av Steven C H Hoi, Jiebo Luo, Susanne Boll, Dong Xu, Rong Jin
Häftad,  Engelska, 2014-08-31
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This timely text/reference presents the latest advances in various aspects of social media modeling and social media computing research. Gathering together superb research from a range of established international conferences and workshops, the editors coherently organize and present each of the topics in relation to the basic principles and practices of social media modeling and computing. Individual chapters can be also be used as self-contained references on the material covered. Topics and features: presents contributions from an international selection of preeminent experts in the field; discusses topics on social-media content analysis; examines social-media system design and analysis, and visual analytic tools for event analysis; investigates access control for privacy and security issues in social networks; describes emerging applications of social media, for music recommendation, automatic image annotation, and the analysis and improvement of photo-books.
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Steven C H Hoi, Jiebo Luo, Susanne Boll, Dong Xu, Rong Jin

Recensioner i media

From the reviews: It is an appropriate resource for graduate students, software developers, and researchers. Each chapter is a standalone presentation with a set of references at the end. A comprehensive subject matter index combines all of the chapters, which readers will find useful. chapters are especially relevant for software developers and designers who want to review current research. each chapter is well written, and I recommend this presentation of cutting-edge work. (Brad Reid, ACM Computing Reviews, December, 2011)

Innehållsförteckning

Quantifying Visual-Representativeness of Social Image Tags using Image Tag Clarity.- Tag-Based Social Image Search: Towards Relevant and Diverse Results.- Social Image Tag Ranking by Two-View Learning.- Combining Multi-modal Features for Social Media Analysis.- Multi-label Image Annotation by Structural Grouping Sparsity.- Mechanism Design for Incentivizing Social Media Contributions.- Efficient Access Control in Multimedia Social Networks.- Call Me Guru: User Categories and Large-Scale Behavior in YouTube.- Social Media Visual Analytics for Events.- Using Rich Social Media Information for Music Recommendation via Hypergraph Model.- Using Geotags to Derive Rich Tagclouds for Image Annotation.- Social Aspects of Photobooks: Improving Photobook Authoring from Large-Scale Multimedia Analysis.

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