mendation service which can be called via HTTP by BibSonomy's recommender when a user posts a bookmark or publication. All participating recommenders are called on each posting process, one of them is choosen to actually deliver the results to the user. We can then measure
This year's discovery challenge presents two tasks in the new area of social bookmarking. One task covers spam detection and the other covers tag recommendations. As we are hosting the social bookmark and publication sharing system BibSonomy, we are able to provide a dataset of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are invited to present their approaches and results.
This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.
Als Praxisanteil am Seminar Mustererkennung mit Support-Vektor-Maschinen (SVM) im WS 01/02 und WS 02/03 sind einige Wettbewerbe entstanden, die nicht nur auf diese Veranstaltung begrenzt sind. Es werden jederzeit Lösungen auch von nicht-Seminarteilnehmern angenommen. Die besten Resultate werden auf dieser Seite aktuell gehalten.
H. Zhang, A. Santos, and J. Freire. Proceedings of the 30th ACM International Conference on Information &$\mathsemicolon$ Knowledge Management, ACM, (October 2021)
F. Lemmerich, M. Becker, P. Singer, D. Helic, A. Hotho, and M. Strohmaier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 965–974. New York, NY, USA, Association for Computing Machinery, (2016)
A. Hotho, D. Benz, R. Jäschke, and B. Krause (Eds.) International Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases in Antwerp, Belgium, September 15th, 2008., (2008)
H. Grosskreutz, S. Rüping, and S. Wrobel. ECML PKDD '08: Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I, page 440--456. Berlin, Heidelberg, Springer-Verlag, (2008)