Titlebook: Social Media Modeling and Computing; Steven C.H. Hoi,Jiebo Luo,Irwin King Book 2011 Springer-Verlag London Limited 2011 Data Mining.Machin

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stress-response

Social Media Visual Analytics for Eventsan easily become overwhelming, yet still contain information that may aid and augment understanding of the multimedia content via individual social media items, or aggregate information from the crowd’s response. In this work we discuss this opportunity in the context of a social media visual analyt

stressors

Using Rich Social Media Information for Music Recommendation via Hypergraph Modeles such as Last.fm and Pandora. This information is valuable for music recommendation. However, there are two main challenges to exploit this rich social media information: (a) There are many different types of objects and relations in music social communities, which makes it difficult to develop a

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Social Aspects of Photobooks: Improving Photobook Authoring from Large-Scale Multimedia Analysiss and paper souvenirs such as tickets over the pages of a photobook we tell a story to capture and share our memories. The photo memories captured in such a photobook tell us much about the content and the relevance of the photos for the user. The way in which we select photos and arrange them in th

Emmenagogue

Combining Multi-modal Features for Social Media Analysis the means to define a latent semantic space where heterogeneous types of information can be effectively combined. Tagged images taken from social sites have been used in the characteristic scenarios of image clustering and retrieval, to demonstrate the benefits of multi-modal analysis in social media.

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