Tagging with DHARMA, a DHT-based Approach for Resource Mapping through Approximation
2010 IEEE International Symposium on Parallel & Distributed …, 2010•ieeexplore.ieee.org
We introduce collaborative tagging and faceted search on structured P2P systems. Since a
trivial and brute force mapping of an entire folksonomy over a DHT-based system may
reduce scalability, we propose an approximated graph maintenance approach. Evaluations
on real data coming from Last. fm prove that such strategies reduce vocabulary noise (ie,
representation's overfitting phenomena) and hotspots issues.
trivial and brute force mapping of an entire folksonomy over a DHT-based system may
reduce scalability, we propose an approximated graph maintenance approach. Evaluations
on real data coming from Last. fm prove that such strategies reduce vocabulary noise (ie,
representation's overfitting phenomena) and hotspots issues.
We introduce collaborative tagging and faceted search on structured P2P systems. Since a trivial and brute force mapping of an entire folksonomy over a DHT-based system may reduce scalability, we propose an approximated graph maintenance approach. Evaluations on real data coming from Last.fm prove that such strategies reduce vocabulary noise (i.e., representation's overfitting phenomena) and hotspots issues.
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