Mitzlaff, F.; Doerfel, S.; Hotho, A.; Jäschke, R. & Mueller, J.
(2014):
Summary of the 15th Discovery Challenge: Recommending Given Names.
In: 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings,
Aachen, Germany.
[Volltext]
[Kurzfassung] [BibTeX][Endnote]
The 15th ECML PKDD Discovery Challenge centered around the recommendation
f given names. Participants of the challenge implemented algorithms
hat were tested both offline - on data collected by the name search
ngine Nameling - and online within Nameling. Here, we describe both
asks in detail and discuss the publicly available datasets. We motivate
nd explain the chosen evaluation of the challenge, and we summarize
he different approaches applied to the name recommendation tasks.
inally, we present the rankings and winners of the offline and the
nline phase.
@inproceedings{mitzlaff2014summary,
author = {Mitzlaff, Folke and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Mueller, Juergen},
title = {Summary of the 15th Discovery Challenge: Recommending Given Names},
booktitle = {15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings},
publisher = {CEUR-WS},
address = {Aachen, Germany},
year = {2014},
volume = {1120},
pages = {7--24},
url = {http://ceur-ws.org/Vol-1120/},
keywords = {RecSys, workshop, nameling, summary, 2014, ECMLPKDD, myown, KDE, inproceedings},
abstract = {The 15th ECML PKDD Discovery Challenge centered around the recommendation
f given names. Participants of the challenge implemented algorithms
hat were tested both offline - on data collected by the name search
ngine Nameling - and online within Nameling. Here, we describe both
asks in detail and discuss the publicly available datasets. We motivate
nd explain the chosen evaluation of the challenge, and we summarize
he different approaches applied to the name recommendation tasks.
inally, we present the rankings and winners of the offline and the
nline phase.}
}
%0 = inproceedings
%A = Mitzlaff, Folke and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Mueller, Juergen
%B = 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings
%C = Aachen, Germany
%D = 2014
%I = CEUR-WS
%T = Summary of the 15th Discovery Challenge: Recommending Given Names
%U = http://ceur-ws.org/Vol-1120/