Social Media Modeling and Computing
Description
Reviews / Votes
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)
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Content
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.
