Call for Papers

With the explosive growth of resources available through the Internet, information overload has become a serious issue. Especially the emergence of social media has created highly interactive platforms for users to create, share, exchange information and build social networks. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant information. Recent years, the research area of data analytics has been developing rapidly. Many data analytics techniques have been developed for analysing raw data gathered from various data sources to generate valuable hidden insights and useful information which can help human beings make wise decisions. Social media analytics is the process of gathering and analyzing data from social networks and online communities. This area has not yet been well-exploited; difficulties arise while selecting resources through data analytics systems from technology perspective and social perspective; also solutions are needed for effective interaction & collaboration between users and maintain trustworthiness and reliability of information on social media. The aim of this workshop is to promote high quality research in technical and human aspects related to Web personalization, social media and resource selection, data analysis and mining, through data analytics systems. The workshop will provide a forum for academic and industrial researchers to exchange ideas about past, present and future trends in social media data analytics, and for discussing new and innovative approaches.

Topics and areas include, but not limited to:

• User behaviour modelling and personalization techniques
• Collaborative and content based filtering
• Security and trust on social media
• Trust and reputation management
• Ontology learning and semantic web technologies
• Content management and modelling
• Product modelling, user opinion mining and data extraction
• Adaptive user interfaces
• Ownership of social media content
• Text summarization and topic modelling on social media
• Trustworthiness and reliability on social media
• Recommender applications for social media sites
• Explanation and justification in recommender systems
• Measuring personalization effectiveness
• Modelling decision making in e-commerce systems
• Measuring personalization effectiveness
• Evaluation methods for recommender systems
• Security and Privacy in social media
• Incorporation of domain knowledge and business processes
• Healthcare data analytics
• Applications of data analytics