Investigating the similarity space of music artists on the micro-blogosphere

Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011

Volumn , Issue , 2011, Pages 323-328

  Schedl, Markus ^a   Knees, Peter ^a   Böck, Sebastian ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

BLOGS; INFORMATION RETRIEVAL;

COMPREHENSIVE EVALUATION; MICRO-BLOGGING SERVICES; NORMALIZATION METHODS; SIMILARITY ESTIMATE; SIMILARITY MEASURE; SIMILARITY MEASUREMENTS; SIMILARITY SPACES; TERM WEIGHTING;

SOCIAL NETWORKING (ONLINE);

EID: 84873591875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. J.-J. Aucouturier and F. Pachet. Scaling Up Music Playlist Generation. In Proc. IEEE ICME, Aug 2002.
2. R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. AddisonWesley, 1999.
3. S. Baumann and O. Hummel. Using Cultural Metadata for Artist Recommendation. In Proc. WEDELMUSIC, Sep 2003.
4. ̀O. Celma. Music Recommendation and Discovery in the Long Tail. PhD thesis, Universitat Pompeu Fabra, Barcelona, Spain, 2008.
5. http://www.cp.jku.at/CoMIRVA (access: Jan 2011).
6. F. Debole and F. Sebastiani. Supervised TermWeighting for Automated Text Categorization. In Proc. ACM SAC, Mar 2003.
7. M. Evans. Twitter Enjoys Major Growth and Excellent Stickiness. http://blog.sysomos.com (access: Jan 2011).
8. http://www.freebase.com (access: Jan 2011).
9. X. Hu and J.S. Downie. Exploring Mood Metadata: Relationships with Genre, Artist and Usage Metadata. In Proc. ISMIR, Sep 2007.
10. P. Knees, E. Pampalk, and G. Widmer. Artist Classification with Web-based Data. In Proc. ISMIR, Oct 2004.
11. P. Knees, T. Pohle, M. Schedl, and G. Widmer. A Music Search Engine Built upon Audio-based and Web-based Similarity Measures. In Proc. ACM SIGIR, Jul 2007.
12. M. Lan, C.-L. Tan, H.-B. Low, and S.-Y. Sung. A Comprehensive Comparative Study on Term Weighting Schemes for Text Categorization with Support Vector Machines. In Proc. ACM WWW, May 2005.
13. J. Lin. DivergenceMeasures Based on the Shannon Entropy. IEEE Trans. Information Theory, 37, 1991.
14. http://lucene.apache.org (access: Jan 2011).
15. F. Pachet and D. Cazaly. A Taxonomy of Musical Genre. In Proc. RIAO, Apr 2000.
16. E. Pampalk, A. Flexer, and G.Widmer. Hierarchical Organization and Description of Music Collections at the Artist Level. In Proc. ECDL, Sep 2005.
17. E. Pampalk and M. Goto. MusicSun: A New Approach to Artist Recommendation. In Proc. ISMIR, Sep 2007.
18. J. Pérez-Iglesias, J. R. Pérez-Agüera, V. Fresno Y. Z., and Feinstein. Integrating the Probabilistic Models BM25/BM25F into Lucene. CoRR, 2009.
19. S.E. Robertson, S. Walker, and M. Beaulieu. Okapi at TREC-7: Automatic Ad Hoc, Filtering, VLC and Interactive Track. In Proc. TREC, 1999.
20. G. Salton and C. Buckley. Term-weighting Approaches in Automatic Text Retrieval. Information Processing & Management, 24(5), 1988.
21. G. Salton, A. Wong, and C. S. Yang. A Vector Space Model for Automatic Indexing. Communications of the ACM, 18(11), 1975.
22. M. Sanderson and J. Zobel. Information Retrieval System Evaluation: Effort, Sensitivity, and Reliability. In Proc. ACM SIGIR, Aug 2005.
23. M. Schedl. Automatically Extracting, Analyzing, and Visualizing Information on Music Artists from the World Wide Web. PhD thesis, JKU Linz, Austria, 2008.
24. M. Schedl. On the Use of Microblogging Posts for Similarity Estimation and Artist Labeling. In Proc. ISMIR, Aug 2010.
25. M. Schedl, P. Knees, K. Seyerlehner, and T. Pohle. The CoMIRVA Toolkit for Visualizing Music-Related Data. In Proc. of the 9th Eurographics/IEEE VGTC Symposium on Visualization (EuroVis 2007), May 2007.
26. M. Schedl, P. Knees, and G. Widmer. A Web-Based Approach to Assessing Artist Similarity using Co- Occurrences. In Proc. CBMI, Jun 2005.
27. M. Schedl, T. Pohle, P. Knees, and G. Widmer. Exploring theMusic Similarity Space on theWeb. ACM Transactions on Information Systems, 29(3), July 2011.
28. http://wordlist.sourceforge.net (access: Jan 2011).
29. D. Turnbull, L. Barrington, D. Torres, and G. Lanckriet. Towards Musical Query-by-Semantic Description using the CAL500 Data Set. In Proc. ACM SIGIR, Jul 2007.
30. B. Whitman and S. Lawrence. Inferring Descriptions and Similarity for Music from Community Metadata. In Proc. ICMC, Sep 2002.
31. J. Yarow. Twitter Finally Reveals All Its Secret Stats. http://www.businessinsider.com (access: Jan 2011).
32. J. Zobel and A. Moffat. Exploring the Similarity Space. ACM SIGIR Forum, 32(1), 1998.
33. J. Zobel and A. Moffat. Inverted Files for Text Search Engines. ACM Computing Surveys, 38, 2006.