Res-embedding for deep learning based click-through rate prediction modeling-Reference-Cited by-同舟云学术

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Res-embedding for deep learning based click-through rate prediction modeling

Published:2019-08-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
language:
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Author:

Zhou Guorui¹,Wu Kailun¹,Bian Weijie¹,Zhu Xiaoqiang¹,Gai Kun¹

Affiliation:

1. Alibaba Group

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3326937.3341252

Reference26 articles.

1. ITEM2VEC: Neural item embedding for collaborative filtering

2. Laplacian eigenmaps and spectral techniques for embedding and clustering;Belkin Mikhail;Advances in Neural Information Processing Systems,2002

3. Heng Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai and Mustafa Ispir. 2016. Wide & Deep Learning for Recommender Systems. (2016) 7--10. Heng Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai and Mustafa Ispir. 2016. Wide & Deep Learning for Recommender Systems. (2016) 7--10.

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