MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
IEEE Transactions on Knowledge and Data Engineering
Usage patterns of collaborative tagging systems
Journal of Information Science
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
AutoTag: a collaborative approach to automated tag assignment for weblog posts
Proceedings of the 15th international conference on World Wide Web
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
Data clouds: summarizing keyword search results over structured data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
FlexRecs: expressing and combining flexible recommendations
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Information seeking: convergence of search, recommendations, and advertising
Communications of the ACM
Evaluation of set-based queries with aggregation constraints
Proceedings of the 20th ACM international conference on Information and knowledge management
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Social sites such as FaceBook, Orkut, Flickr, MySpace and many others have become immensely popular. At these sites, users share their resources (e.g., photos, profiles, blogs) and learn from each other. On the other hand, higher education applications help students and administrators track and manage academic information such as grades, course evaluations and enrollments. Despite the importance of both these areas, there is relatively little research on the mechanisms that make them effective. Apart from being both a successful social site and an academic planning site, CourseRank provides a live testbed for studying fundamental questions related to social networking, academic planning, and the fusion of these areas. In this paper, we provide a system overview and our main research efforts through CourseRank.