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In the INSEMTIVES game challenge we are looking for colorful, innovative ideas with a twist for new “games with a purpose”. The purpose, of course, is primarily the creation of useful semantic content.
Following a successful first edition, we are pleased to announce the 2nd edition of the Large Scale Hierarchical Text Classification (LSHTC) Pascal Challenge. The LSHTC Challenge is a hierarchical text classification competition, using large datasets. This year’s challenge will increase the scale and the difficulty of the task, using data from Wikipedia (www.wikipedia.org), in addition to the ODP Web directory data (www.dmoz.org).
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
he Diagnostic Competition is proposed to be the first of a series of international competitions that will be hosted yearly at the International Workshop on Principles of Diagnosis (DX).
I should have realized the danger of stepping into the Wikipedia morass, and the comments on today’s earlier post further indicate my folly in doing so. You know, The New York Times gets things wrong, too. As an argument on a sophisticated level, it’s that all texts are constructs reflecting the attitude of the constructor rather than a verifiable external reality; on a less sophisticated level, it’s that all the other kids are smoking pot, too.
I’ve had enough. I’m bringing it down to this challenge.
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
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
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Although mathematics will help you arrive at elegant and efficient methods, the use of a computer and programming skills will be required to solve most problems.
The motivation for starting Project Euler, and its continuation, is to provide a platform for the inquiring mind to delve into unfamiliar areas and learn new concepts in a fun and recreational context.
The Elsevier Grand Challenge: Knowledge Enhancement in the Life Sciences is a contest created to improve the way scientific information is communicated and used. The contest invites members of the scientific community to describe and prototype a tool to improve the interpretation and identification of meaning in (online) journals and text databases relating to the life sciences. Specifically we are looking for new ways to:
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.
Millennium Problems In order to celebrate mathematics in the new millennium, The Clay Mathematics Institute of Cambridge, Massachusetts (CMI) has named seven Prize Problems. The Scientific Advisory Board of CMI selected these problems, focusing on import
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, A. Hotho, F. Mitzlaff, и G. Stumme. Recommender Systems for the Social Web, том 32 из Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
A. Hotho, D. Benz, R. Jäschke, и B. Krause (Ред.) Workshop at 18th Europ. Conf. on Machine Learning (ECML'08) / 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'08), (2008)