To tag or not to tag -: harvesting adjacent metadata in large-scale tagging systems

We present HAMLET, a suite of principles, scoring models and algorithms to automatically propagate metadata along edges in a document neighborhood. As a showcase scenario we consider tag prediction in community-based Web 2.0 tagging applications. Experiments using real-world data demonstrate the viability of our approach in large-scale environments where tags are scarce. To the best of our knowledge, HAMLET is the first system to promote an efficient and precise reuse of shared metadata in highly dynamic, large-scale Web 2.0 tagging systems. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval-Retrieval Models; H.m [Information Systems]: Miscellaneous General Terms Algorithms, Design Keywords tagging systems, social communities, tag propagation

• Type: Journal
• Year: 2008
• Where: SIGIR
• Authors: Adriana Budura, Sebastian Michel, Philippe Cudré-Mauroux, Karl Aberer
• Keywords: Information Technology, Keywords Tagging Systems, Present Hamlet, SIGIR 2008, Web 2.0