Final Leaderboard

We are happy to announce the winners of the first part of 15th ECML PKDD Discovery Challenge. In total 17 teams participated in the competition, setting new standards for the new recommendation task of recommending given names. A broad variety of recommendation techniques has been applied and adapted to this new kind of data, ranging from classical collaborative filtering approaches and association rule mining to advanced factorization machines.

Pos Diff Team Name Score
1

uefs.br 0,0491
2

ibayer 0,0472
3

all your base 0,0423
4

Labic 0,0379
5

cadejo 0,0367
6

disc 0,0340
7

Context 0,0321
8

TomFu 0,0309
9

Cibal 0,0262
10

thalesfc 0,0253
11

Prefix 0,0203
12

Gut_und_Guenstig 0,0169
13

TeamUFCG 0,0156
14

PwrInfZC 0,0130
15

persona-non-data 0,0043
16

erick_oliv 0,0021
17

Chanjo 0,0016

Although the challenge’s evaluation scores indicate a leadership, the results are very close. At the workshop we will present and discuss a thorough evaluation and comparison of the different recommendations.

We are looking forward to see different recommender systems in the online challenge!

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