Deep Learning over Multi-field Categorical Data - Reproducibility Paper

Deep Learning over Multi-field Categorical Data - Reproducibility Paper

A reproducibility attempt for the "Deep Learning over Multi-field Categorical Data – A Case Study on User Response Prediction" research paper by W. Zhang et. al. We tried following the official implementations and then extending them with updated repositories.

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Bibliographische Detailangaben
Hauptverfasser: Corpaci, Luiza, Matyas Gergely, Tudor-Razvan Gheorghe
Format: Report
Sprache:eng
Schlagworte:
click-through rates
conversion rates
datasets
Factorisation Machines
neural networks
reproducibility
Stochastic Gra-dient Descent
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Beschreibung
Zusammenfassung:A reproducibility attempt for the "Deep Learning over Multi-field Categorical Data – A Case Study on User Response Prediction" research paper by W. Zhang et. al. We tried following the official implementations and then extending them with updated repositories.
DOI:10.5281/zenodo.5920824