SMART 2013 - SMART 2013 : International Workshop on Social Media Analytics and Recommendation Technologies
Topics/Call fo Papers
The advent of online social media such as Twitter, LinkedIn, and Facebook, has been one of the most exciting events of this decade. Many such social media sites are extremely rich in data, which on the one hand requires recommendation for users to efficiently make personalised use of those media and on the other hand provides effective collective information for analysis.
Social media analytics deals with the problems of analysing content and their interactions in social media, and determining the important structural patterns in such content and interactions, while social recommendation deals with the problem of finding and introducing meaningful relationships among people, communities and social media content.
The goal of this workshop is to build a community around social media analytics and recommendation technologies, and instigate discussion about these emerging research areas.
Papers are invited for consideration in all aspects of social media analytics and recommendation, including (but not restricted to):
social network analysis
social recommender systems
social influence analysis & metrics
social behaviour analysis
social fraud and risk analysis
opinion mining/sentiment analysis
social bookmarking/tagging
topic and event tracking
people recommendation in social networks
community recommendation in social networks
applications (online dating, job recommendation)
Social media analytics deals with the problems of analysing content and their interactions in social media, and determining the important structural patterns in such content and interactions, while social recommendation deals with the problem of finding and introducing meaningful relationships among people, communities and social media content.
The goal of this workshop is to build a community around social media analytics and recommendation technologies, and instigate discussion about these emerging research areas.
Papers are invited for consideration in all aspects of social media analytics and recommendation, including (but not restricted to):
social network analysis
social recommender systems
social influence analysis & metrics
social behaviour analysis
social fraud and risk analysis
opinion mining/sentiment analysis
social bookmarking/tagging
topic and event tracking
people recommendation in social networks
community recommendation in social networks
applications (online dating, job recommendation)
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Last modified: 2012-11-10 11:56:09