Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
The Journal of Machine Learning Research
IEEE Transactions on Knowledge and Data Engineering
Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
Effective explanations of recommendations: user-centered design
Proceedings of the 2007 ACM conference on Recommender systems
Pig latin: a not-so-foreign language for data processing
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Jelly: A Language for Building Community-Centric Information Exploration Applications
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Taagle: efficient, personalized search in collaborative tagging networks
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Who tags what?: an analysis framework
Proceedings of the VLDB Endowment
Network-aware search in social tagging applications: instance optimality versus efficiency
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Social content sites [4], which integrate traditional content sites with social networking features, have recently emerged as an exciting new trend on the Web. Users on those sites share content and form various communities based on explicit friendship, shared interest and common user properties. Recently, we proposed SOCIALSCOPE, a three-layered architecture to address the information management challenges in social content sites. In this paper, we focus on the information discovery and the information presentation layers, and describe how our previously proposed language, Jelly [3], is supported in SOCIALSCOPE to build community-centric information exploration applications on social content sites.