Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction
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Benchmark
Model
Rank
Results
click-through-rate-prediction-on-criteo
WMLFF
#27
AUC: 0.804
Log Loss: 0.447
collaborative-filtering-on-movielens-100k
WMLFF
#12
RMSE (u1 Splits): 0.928
Rank counts only results with a code link.