Estimating Peer Similarity using Distance of Shared Files - Usenix
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Estimating Peer Similarity using Distance of Shared Files - Usenix
Increasingly difficult to find useful content o Noise in user generated content (
meta-data) o Extreme dimensions o Sparseness. 2. Udi Weinsberg, IPTPS, April
...
Estimating Peer Similarity using Distance of Shared Files Yuval Shavitt, Ela Weinsberg, Udi Weinsberg Tel-Aviv University
Problem Setting Peer-to-Peer (p2p) networks are used by millions for sharing content Increasingly difficult to find useful content o Noise in user generated content (meta-data) o Extreme dimensions o Sparseness
Udi Weinsberg, IPTPS, April 2010
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Work Goal Suggest a new metric for peer similarity o Overcome the sparseness problem
Improve ability to find content o Search algorithms • Similar peers are likely to hold relevant content
o Collaborative filtering • Find “like-minded” peers
Udi Weinsberg, IPTPS, April 2010
3
Key Concept Build a file similarity graph o Use data about all shared files o Weights of edges = distance between files
Peer similarity is calculated using the distance between their shared files o No need for overlapping content between peers
Udi Weinsberg, IPTPS, April 2010
4
Dataset
Active crawl of Gnutella in 2007 Crawled 1.2 million peers Only 35% of songs contain meta-data 530k distinct songs o Identified using “title|artist” o Accounting for spelling mistakes with edit distance
