The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - January-March (2011 vol.18)
pp: 14-23
Yuval Shavitt , Tel Aviv University
Ela Weinsberg , Tel Aviv University
Udi Weinsberg , Tel Aviv University
ABSTRACT
<p>Using song files shared by users in the Gnutella network, the authors present a method for constructing a song-similarity graph to create scalable and efficient applications.</p>
INDEX TERMS
Data mining, peer-to-peer networks, recommendation systems, multimedia, information retrieval, IEEE Multimedia
CITATION
Yuval Shavitt, Ela Weinsberg, Udi Weinsberg, "Mining Music from Large-Scale, Peer-to-Peer Networks", IEEE MultiMedia, vol.18, no. 1, pp. 14-23, January-March 2011, doi:10.1109/MMUL.2011.13
REFERENCES
1. A.S. Gish, Y. Shavitt, and T. Tankel, "Geographical Statistics and Characteristics of P2P Query Strings," Proc. Int'l workshop on Peer-to-Peer Systems (IPTPS), USENIX Assoc., 2007.
2. B. Yang and H. Garcia-Molina, "Improving Search in Peer-to-Peer Networks," Proc. 22nd Int'l Conf. Distributed Computing Systems (ICDCS), IEEE CS Press, 2002.
3. P. Resnick and H.R. Varian, "Recommender Systems," Comm. the ACM, vol. 40, no. 3, 1997.
4. M.A. Zaharia et al., "Finding Content in File- Sharing Networks When You Can't Even Spell," Proc. Int'l Workshop Peer-to-Peer Systems (IPTPS), USENIX Assoc., 2007.
5. M. Ripeanu, Peer-to-Peer Architecture Case Study: Gnutella Network, tech. report TR-2001-26, Univ. Chicago, 2001.
6. E. Bangeman, Study: Bittorrent Sees Big Growth, Limewire Still #1 P2P App, Ars Technica report; http://arstechnica.com/old/content/2008/ 04study-bittorren-sees-big-growth-limewire- still-1-p2p-app.ars .
7. N. Koenigstein et al., "On the Applicability of Peer-To-Peer Data in Music Information Retrieval Research," Proc. Int'l Society for Music Information Retrieval Conference (ISMIR), 2010.
8. R.T. Ng and J. Han, "Efficient and Effective Clustering Methods for Spatial Data Mining," Proc. 20th Int'l Conf. Very Large Data Bases (VLDB), Morgan Kaufmann Pub., 1994.
9. A.K. Jain, M.N. Murty, and P.J. Flynn, "Data Clustering: A Review," ACM Computing Surveys, vol. 31, no. 3, 1999, pp. 264-323.
10. S.V. Dongen, Performance Criteria for Graph Clustering and Markov Cluster Experiments, tech. report, Nat'l Research Inst. for Mathematics and Computer Science, 2000.
11. V. Satuluri and S. Parthasarathy, "Scalable Graph Clustering Using Stochastic Flows: Applications to Community Discovery," Proc. 15th Conf. Knowledge Discovery and Data Mining (KDD), ACM Press, 2009.
12. G. Karypis and V. Kumar, "A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs," Proc. Int'l Conf. Parallel Processing, IEEE CS Press, 1995.
13. I.S. Dhillon, Y. Guan, and B. Kulis, "Weighted Graph Cuts without Eigenvectors a Multilevel Approach," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 11, 2007, pp. 1944-1957.
14. J.L. Herlocker et al., "Evaluating Collaborative Filtering Recommender Systems," ACM Trans. Information Systems, vol. 22, no. 1, 2004, pp. 5-53.
15. S. Voulgaris et al., "Exploiting Semantic Proximity in Peer-To-Peer Content Searching," Proc. 10th Int'l Workshop Future Trends in Distributed Computing Systems, IEEE CS Press, 2004.
24 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool