A Simple Convolutional Generative Network for Next Item Recommendation-Reference-Cited by-同舟云学术

A Simple Convolutional Generative Network for Next Item Recommendation

Published:2019-01-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
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Author:

Yuan Fajie¹,Karatzoglou Alexandros²,Arapakis Ioannis²,Jose Joemon M.³,He Xiangnan⁴

Affiliation:

1. Tencent, Shenzhen, China

2. Telefonica Research, Barcelona, Spain

3. University of Glasgow, Glasgow, United Kingdom

4. National University of Singapore, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3289600.3290975

Reference34 articles.

1. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).

2. Guy Blanc and Steffen Rendle. 2017. Adaptive Sampled Softmax with Kernel Based Sampling. arXiv preprint arXiv:1712.00527 (2017). Guy Blanc and Steffen Rendle. 2017. Adaptive Sampled Softmax with Kernel Based Sampling. arXiv preprint arXiv:1712.00527 (2017).

3. Recurrent Latent Variable Networks for Session-Based Recommendation

4. Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where You Like to Go Next: Successive Point-of-Interest Recommendation.. In IJCAI . Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where You Like to Go Next: Successive Point-of-Interest Recommendation.. In IJCAI .

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