Proceedings ArticleDOI
Distributed, Automatic File Description Tuning in Peer-to-Peer File-Sharing Systems
Dongmei Jia,Wai Gen Yee,Linh Thai Nguyen,Ophir Frieder +3 more
- pp 167-176
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TLDR
This work considers the design of a fully distributed, automatic system for the exchange of descriptive metadata in peer-to-peer file-sharing systems and shows that the proposed techniques are effective in improving search accuracy with reasonable cost.Abstract:
Peers in peer-to-peer file-sharing systems cannot effectively share their files if they are poorly described. Terms one user employs to describe an instance of a file may not be those that are commonly associated with the file, making this instance difficult to locate. To alleviate this problem, a server can ask its peers for help in improving the description of files they have in common. We consider the design of a fully distributed, automatic system for the exchange of descriptive metadata. Experimental results show that the proposed techniques are effective in improving search accuracy with reasonable cost.read more
Citations
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Proceedings ArticleDOI
Spam characterization and detection in peer-to-peer file-sharing systems
TL;DR: This work describes feature-based techniques for automatically detecting spam in P2P query result sets and shows that the proposed techniques successfully decrease the amount of spam by 9% in the top-200 results and by 92% inThe top-20 results.
Book ChapterDOI
Enriching peer-to-peer file descriptors using association rules on query logs
TL;DR: A P2P association rule mining descriptor enrichment approach that statistically significantly increases accuracy by greater than 15% over the non-enriched baseline is described.
Journal ArticleDOI
Implications of the file names and user requested queries on Gnutella performance
Surendar Chandra,William Acosta +1 more
TL;DR: A mechanism to build the file term synopsis using the observed popularity of queries routed through the ultrapeer and a query transformation mechanism that improves the success rates for failed queries are described.
References
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The Evolution of the Labor Market for Medical Interns and Residents: A Case Study in Game Theory
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Proceedings ArticleDOI
Efficient content location using interest-based locality in peer-to-peer systems
TL;DR: This work proposes a content location solution in which peers loosely organize themselves into an interest- based structure on top of the existing Gnutella network, and demonstrates the existence of interest-based locality in five diverse traces of content distribution applications, two of which are traces of popular peer-to-peer file-sharing applications.