SMMDM 2014 - Social Multimedia Data Mining (SMMDM)

Different social networking platforms have become a ubiquitous means for information sharing and communication, especially with the ever increasing mobile device availability. As a result, increasingly rich and large-scale social multimedia data (in the form of text, image, audio, and video) are being generated and posted to different social networking and media sharing platforms such as Twitter, Facebook, Orkut, Instagram, Pinterest, Flickr, Vine, and Youtube. Often the multimedia content posted in these social platforms is accompanied with user comments, tags, likes, hashtags, upvotes, and so on. Such large-scale multimedia data with rich contextual information has wide ranging practical applications such as user profiling, behavior analysis, advanced personalization and recommendation systems, marketing, etc. and offers unique research challenges that require efforts from multiple disciplines such as data mining, machine learning, image and video processing, computer vision, and information retrieval. Through this workshop, we intend to offer a common platform to multidisciplinary researchers from academia as well as industry to:
present recent advances in social multimedia data mining and multimedia content analysis
present next generation technologies for managing rich social multimedia data, with special emphasis on organizing, indexing, retrieving and mining social multimedia data
identify novel applications and key industry drivers
Manuscripts are solicited to address a wide range of topics in social multimedia data mining, including but not limited to the following:
? Machine learning and data mining methods for social multimedia content
? Personalization and recommendation algorithms based on social data
? Social context-based media content analysis
? Prediction and forecasting models based on social multimedia
? User profiling across multiple social media channels
? Event driven media creation
? Organization, indexing and navigation of social multimedia content
? Behaviour analysis across multiple social media networks
? Multi-modality fusion for heterogeneous social media content
? Large scale image, video and audio classification using social contextual cues
? Image, video and audio recommendation in social networks
? Social media-based advertisement
? Social network enablement via media