WMLFF

Reported on 3 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous2 results

Click-Through Rate PredictiononCriteo
AUC· 2023-08-03
0.804
best: 0.8163 (QNN-α)
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction arXiv:2308.02568
Click-Through Rate PredictiononCriteo
Log Loss· 2023-08-03
0.447
best: 0.4358 (QNN-α)
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction arXiv:2308.02568

Knowledge Base1 result

Recommendation SystemsonMovieLens 100K
RMSE (u1 Splits)· 2023-08-03
0.928
best: 0.884 (CDLD-GR (doi: 10.5281/zenodo.15851754))
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction arXiv:2308.02568