The goal is to develop automatic site-level classifiers including aspects such as trustworthiness, authoritativeness, neutrality, and genre (editorial, news, commercial, educational, Web spam and more).
The focus of the
ECML/PKDD Discovery Challenge 2010
is Web
Content Quality. The goal is to develop automatic site-level
classifiers including aspects such as trustworthiness,
authoritativeness, neutrality, etc. as well as genre classification
(editorial, news, commercial, educational, Web spam and more).
We invite researchers on Machine Learning, Data Mining,
Information Retrieval, etc. to participate in this challenging task.
This year's competition will have cash prizes sponsored by Google
and travel grants sponsored by Yahoo!
Prizes:
- 1st place (measured as average over all three tasks): USD 2500
- 2nd place: USD 1000
- 1st place for the English quality task: USD 1500
In the case that a participant wins 2 prizes they will get only the higher
one and leave the other for the next participant in the ranked list
Travel grants: USD 2500 in travel grants for up to 5 students.
Training data will be available in early April, and participants
are expected to submit their results by the beginning of June.
If you are interested in receiving updates about this challenge,
please
subscribe to our newsletter
For more information, please
visit ECML/PKDD Discovery Challenge homepage
The organizers,
- Andras Benczur - Hungarian Academy of Sciences
- Carlos Castillo - Yahoo!
- Zoltan Gyongyi - Google
- Julien Masanes - European Archive
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