Summary of the 15th Discovery Challenge: Recommending Given Names
F. Mitzlaff, S. Doerfel, A. Hotho, R. Jäschke, and J. Mueller.
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, 1120, page 7--24. Aachen, Germany, CEUR-WS, (2014)

The 15th ECML PKDD Discovery Challenge centered around the recommendation of given names. Participants of the challenge implemented algorithms that were tested both offline - on data collected by the name search engine Nameling - and online within Nameling. Here, we describe both tasks in detail and discuss the publicly available datasets. We motivate and explain the chosen evaluation of the challenge, and we summarize the different approaches applied to the name recommendation tasks. Finally, we present the rankings and winners of the offline and the online phase.

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@inproceedings{mitzlaff2014summary,
  abstract = {The 15th ECML PKDD Discovery Challenge centered around the recommendation
 of given names. Participants of the challenge implemented algorithms
 that were tested both offline - on data collected by the name search
 engine Nameling - and online within Nameling. Here, we describe both
 tasks in detail and discuss the publicly available datasets. We motivate
 and explain the chosen evaluation of the challenge, and we summarize
 the different approaches applied to the name recommendation tasks.
 Finally, we present the rankings and winners of the offline and the
 online phase.},
  added-at = {2014-02-05T11:23:01.000+0100},
  address = {Aachen, Germany},
  author = {Mitzlaff, Folke and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Mueller, Juergen},
  biburl = {https://puma.uni-kassel.de/bibtex/2e279965dffa803ee660e4026fe48340a/stephandoerfel},
  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},
  interhash = {6945009ac2fd770a84c47f2a0e192802},
  intrahash = {e279965dffa803ee660e4026fe48340a},
  issn = {1613-0073},
  keywords = {2014 ECMLPKDD KDE RecSys inproceedings myown nameling summary workshop},
  pages = {7--24},
  publisher = {CEUR-WS},
  timestamp = {2014-02-05T11:23:01.000+0100},
  title = {Summary of the 15th Discovery Challenge: Recommending Given Names},
  url = {http://ceur-ws.org/Vol-1120/},
  volume = 1120,
  year = 2014
}

%0 Conference Paper
%1 mitzlaff2014summary
%A Mitzlaff, Folke
%A Doerfel, Stephan
%A Hotho, Andreas
%A Jäschke, Robert
%A 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
%K 2014 ECMLPKDD KDE RecSys inproceedings myown nameling summary workshop
%P 7--24
%T Summary of the 15th Discovery Challenge: Recommending Given Names
%U http://ceur-ws.org/Vol-1120/
%V 1120
%X The 15th ECML PKDD Discovery Challenge centered around the recommendation
 of given names. Participants of the challenge implemented algorithms
 that were tested both offline - on data collected by the name search
 engine Nameling - and online within Nameling. Here, we describe both
 tasks in detail and discuss the publicly available datasets. We motivate
 and explain the chosen evaluation of the challenge, and we summarize
 the different approaches applied to the name recommendation tasks.
 Finally, we present the rankings and winners of the offline and the
 online phase.

PUMA

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