[Mangaki challenge] Anime and manga recommendation

Mangaki.fr is an online platform where users can (1) provide ratings of anime and manga; and (2) receive personalized recommendations of what to watch next. It is being actively developed by a community of French crazy students, and the whole code of the platform is available on GitHub, so interested users can improve the machine learning algorithms of Mangaki.

In this challenge, in order to win (and show your supremacy to the world), you will have to predict the ratings of users over unwatched anime and manga. The ratings are provided by the actual users.

You are more than welcome to look for extra sources of data in order to improve your score. All programming languages are allowed. Just find the one that works best for you! Winners will be provided an opportunity to promote their solutions on University of Big Data.

Problem type
Classification
Evaluation metric
Area under the ROC curve (AUC)
Competition status
Completed
Started
2017/07/02 00:00 (Japan Standard Time)
Ends
2017/10/01 23:59 (Japan Standard Time)
Public/Private
Public
Invitation setting
Open to everyone

Download dataset and submission

You are only allowed to download the dataset and make a submission during the competition.

Final ranking

Final rank Nickname Final score Intermediate score
1 GeniusIke 0.86127 0.86155
2 ηzw 0.83460 0.83325
3 karekyasu 0.83014 0.83199
4 lapis_zero09 0.82596 0.82744
5 BC 0.82569 0.82411
6 apocapoc 0.82342 0.82538
7 CVxTz 0.82034 0.82095
8 Arson, Chen 0.81031 0.81280
9 himkt 0.80034 0.79639
10 my 0.79898 0.79807
11 Anton Petrov 0.77904 0.77928
12 kyegorov 0.77899 0.77876
13 ncble 0.77595 0.77469
14 chvsp 0.76061 0.76188
15 pepper 0.73030 0.73532
16 doraemon 0.72873 0.73080
17 ielmansouri 0.71961 0.71621
18 arig 0.63304 0.63469
19 Dawars 0.63122 0.63291
20 Lilian Besson 0.62325 0.62662
21 lyxia 0.58664 0.58302
22 khperez 0.57445 0.57690
23 juanbits 0.56761 0.56456
24 Graille 0.53369 0.53436
25 fnareoh 0.52833 0.52188
26 Sablier 0.50563 0.49864
27 kazuma_desu 0.50083 0.50207
28 Fistine 0.50000 0.50000
28 lemisma 0.50000 0.50000
30 EstelleKts 0.49988 0.50485
31 9mwebmail 0.49892 0.50008
32 admin 0.49760 0.49630
33 gx 0.49735 0.49751

This leaderboard is calculated on the latest submissions.
The intermediate scores are calculated using 50% of the test dataset, and the final scores are calculated using the other 50%.
Final ranks are determined according to the final scores.

Scores over time (Final score)

Your submission timeline

You have not made any submission yet.