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.

Tagging with DHARMA, a DHT-based approach for resource mapping through approximation

AIELLO, LUCA MARIA;MILANESIO, Marco;RUFFO, Giancarlo Francesco;SCHIFANELLA, ROSSANO
2010

Abstract

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.
7th Interational Workshop on Hot Topics in Peer-to-Peer Systems (HOT-P2P)
Atlanta, GA
April 19-23
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
IEEE Press
0
1
8
9781424465330
Luca Maria Aiello; Marco Milanesio; Giancarlo Ruffo; Rossano Schifanella
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/86507
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