Search Results for author: Hrishi Aradhye

Found 1 papers, 1 papers with code

Wide & Deep Learning for Recommender Systems

31 code implementations24 Jun 2016 Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah

Memorization of feature interactions through a wide set of cross-product feature transformations are effective and interpretable, while generalization requires more feature engineering effort.

Click-Through Rate Prediction Feature Engineering +2

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