Search Results for author: Ze Meng

Found 1 papers, 0 papers with code

A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction

no code implementations21 May 2021 Ze Meng, Jinnian Zhang, Yumeng Li, Jiancheng Li, Tanchao Zhu, Lifeng Sun

Modeling powerful interactions is a critical challenge in Click-through rate (CTR) prediction, which is one of the most typical machine learning tasks in personalized advertising and recommender systems.

Click-Through Rate Prediction Neural Architecture Search +1

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