HyperAI
HyperAI
Startseite
Plattform
Dokumentation
Neuigkeiten
Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Nutzungsbedingungen
Datenschutzrichtlinie
Deutsch
HyperAI
HyperAI
Toggle Sidebar
Seite durchsuchen…
⌘
K
Command Palette
Search for a command to run...
Plattform
Startseite
SOTA
Klickratevorhersage
Click Through Rate Prediction On Ipinyou
Click Through Rate Prediction On Ipinyou
Metriken
AUC
LogLoss
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
AUC
LogLoss
Paper Title
OPNN
0.8174
-
Product-based Neural Networks for User Response Prediction
IPNN
0.7914
-
Product-based Neural Networks for User Response Prediction
DCNv3
0.7856
0.005535
FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction
OptInter
0.7825
0.005604
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
OptInter-M
0.7800
0.00564
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction
PNN*
0.7661
-
Product-based Neural Networks for User Response Prediction
FNN
0.7619
-
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction
0 of 7 row(s) selected.
Previous
Next
Click Through Rate Prediction On Ipinyou | SOTA | HyperAI