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.
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