ACM Home Page
Please provide us with feedback. Feedback
Sound index: charts for the people, by the people
Full text Digital EditionDigital Edition HtmlHtml (1 KB),  PdfPdf (9.45 MB)
Source
Communications of the ACM archive
Volume 52 ,  Issue 9  (September 2009) table of contents
The Status of the P versus NP Problem
SECTION: Contributed articles table of contents
Pages 64-70  
Year of Publication: 2009
ISSN:0001-0782
Authors
Varun Bhagwan  IBM Almaden Research Center, San Jose, CA
Tyrone Grandison  IBM Almaden Research Center, San Jose, CA
Daniel Gruhl  IBM Almaden Research Center, San Jose, CA
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 266,   Downloads (12 Months): 1033,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1562164.1562185
What is a DOI?

ABSTRACT

Mining the wisdom of the online crowds generates music business intelligence, identifying what's hot and what's not.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Adali, S., Hill, B., and Magdon-Ismail, M. The impact of ranker quality on rank-aggregation algorithms: Information vs. robustness. In Proceedings of the 22nd International Conference on Data Engineering Workshops (Atlanta, GA, Apr. 3--7). IEEE Computer society, Washington D.C., 2006, 37.
 
2
Alba, A., Bhagwan, V., and Grandison, T. Accessing the deep Web: When good ideas go bad. In Proceedings of the ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages and Applications (OOPSLA) (Nashville, TN, Oct. 25--29). ACM Press, New York, 2008, 815--818.
 
3
Alba, A., Bhagwan, V., Grace, J., Gruhl, D., Haas, K., Nagarajan, M., Pieper, J., Robson, C., and Sahoo, N. Applications of voting theory to information mashups. In Proceedings of the Second IEEE International Conference on Semantic Computing. (Santa Clara, CA, Aug. 4--7). IEEE Press, 2008, 10--17.
 
4
de Borda, J.-C. Memoire sur les elections au Scrutin. Histoire de l'Académie Royale des Sciences 1781; http://asklepios.chez.com/XIX/borda.htm.
 
5
Diaconis, P. and Graham, R Spearman's footrule as a measure of disarray. Journal of the Royal Statistics Society, Series B (Methodological) 39, 2 (1977), 262--268.
 
6
Ferrucci, D. and Lally, A. UIMA: An architectural approach to unstructured information processing in the corporate research environment. Journal of Natural Language Engineering 10, 3--4 (2004), 327--348.
 
7
Han, J. and Kambert, M. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, Inc., San Francisco, 2001.
 
8
Hassell, J., Aleman-meza, B., and Arpinar, I.B. Ontology-driven automatic entity disambiguation in unstructured text. In Proceedings of the International Semantic Web Conference LNCS 4273 (Athens, GA, Nov. 5--9). Springer, 2006, 44--57.
 
9
Lloyd, L., Bhagwan, V., Gruhl, D., and Tomkins, A. Disambiguation of References to Individuals. IBM Research Report RJ10364 (A0510--011). san Jose, CA, Oct. 28, 2005; http://domino.watson.ibm.com/library/cyberdig.nsf/papers/D8265335COAD4CD5852570AB00514720/$File/rj10364.pdf.
 
10
Mayfield, G. Billboard Hot 100 to include digital streams. (July 31, 2007); http://www.billboard.com/bbcom/news/article_display.jsp?vnu_content_id=1003619084.
 
11
Musser, J. scrAPIs. (Mar. 21, 2006). http://blog.programmableweb.com/2006/03/21/scrapis/.
 
12
Quinn, M. and Chang, A. More teens dissing discs in favor of online tunes. Los Angeles Times (Feb. 27, 2008); http://www.latimes.com/news/nationworld/nation/la-fi-music-270208,1,2028285.story.
 
13
Riloff, E. Little words can make a big difference for text classification. In Proceedings of the 18th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (seattle, WA, July 9--13). ACM Press, NY, 1995, 130--136.
 
14
Salmon, C. Click to download. U.K. Guardian (Apr. 18, 2008); http://arts.guardian.co.uk/filmandmusic/story/0,2274132,00.html.
 
15
Styvén, M. Exploring the Online Music Market: Consumer Characteristics and Value Perceptions. Ph.D. Thesis. Department of Business Administration and Social Sciences, Luleå University of Technology, Luleå, Sweden, 2007; http://epubl.ltu.se/14021544/2007/71/LTU-DT-0771-SE.pdf.
 
16
Walsh, G., Mitchell, V.-W., Frenzel, T., and Wiedmann, K.-P. Internet-induced changes in consumer music procurement behavior: A German perspective. Journal of Marketing Intelligence & Planning 21, 5 (2003), 305--317.
 
17
Zhu, H., Siegel, M.D., and Madnick, S.E. Information aggregation: A value-added e-service. In Proceedings of the International Conference on Technology, Policy, and Innovation: Critical Infrastructures (The Hague, The Netherlands, June 26--29, 2001).