SMMDM 2015 - Workshop on 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, 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
Prospective authors should submit high quality, original manuscripts that have not appeared, nor are under consideration elsewhere. All workshop submissions should be formatted following the same guidelines of ICDM'14 conference papers (maximum of 10 pages, in the IEEE 2-column format). Detailed formatting instructions will be available at http://icdm2015.stonybrook.edu/submission.html. All papers will be reviewed by the Program Committee based on technical quality, relevance to workshop theme, originality, significance, and clarity. The authors can opt for a double blind review, in which case the authors should therefore avoid using identifying information in the text of the paper. All papers should be submitted through here.
To encourage attendance and attract quality submissions, we are considering a special issue of extended versions of selected papers in a suitable journal, a Best Paper cash award, and three invited keynotes from academia and industry to stimulate discussions at the workshop.
Important Dates
Submission deadline: July 20, 2015
Decision notification: September 1, 2015
Camera-ready paper due date: October 1, 2015
Workshop date: November 14, 2015
Organizers
Arvind Agawal, PARC
Ching-Yung Lin, IBM Research
Jiebo Luo, Institute for Data Science, University of Rochester