H
Hrishi Aradhye
Researcher at Google
Publications - 2
Citations - 3696
Hrishi Aradhye is an academic researcher from Google. The author has contributed to research in topics: Deep learning & Feature engineering. The author has an hindex of 2, co-authored 2 publications receiving 2629 citations.
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Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng,Levent Koc,Jeremiah Harmsen,Tal Shaked,Tushar Deepak Chandra,Hrishi Aradhye,Glen Anderson,Greg S. Corrado,Wei Chai,Mustafa Ispir,Rohan Anil,Zakaria Haque,Lichan Hong,Vihan Jain,Xiaobing Liu,Hemal Shah +15 more
TL;DR: Wide & Deep learning is presented---jointly trained wide linear models and deep neural networks---to combine the benefits of memorization and generalization for recommender systems and is open-sourced in TensorFlow.
Posted Content
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng,Levent Koc,Jeremiah Harmsen,Tal Shaked,Tushar Deepak Chandra,Hrishi Aradhye,Glen Anderson,Greg S. Corrado,Wei Chai,Mustafa Ispir,Rohan Anil,Zakaria Haque,Lichan Hong,Vihan Jain,Xiaobing Liu,Hemal Shah +15 more
TL;DR: Wide & Deep as mentioned in this paper combines the benefits of memorization and generalization for recommender systems by jointly trained wide linear models and deep neural networks, which can generalize better to unseen feature combinations through lowdimensional dense embeddings learned for the sparse features.