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.


Published in:
Proceedings of the 31st Annual International ACM SIGIR Conference, 733-734
Presented at:
The 31st Annual International ACM SIGIR Conference, Singapore, July 20-24, 2008
Year:
2008
Publisher:
ACM
Keywords:
Laboratories:




 Record created 2008-05-28, last modified 2018-09-13

n/a:
Download fulltextPDF
External link:
Download fulltextURL
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)