Recurrent Convolutional Neural Network for Sequential Recommendation-Reference-Cited by-同舟云学术

Recurrent Convolutional Neural Network for Sequential Recommendation

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Xu Chengfeng¹,Zhao Pengpeng¹,Liu Yanchi²,Xu Jiajie¹,S.Sheng Victor S.Sheng³,Cui Zhiming⁴,Zhou Xiaofang⁵,Xiong Hui²

Affiliation:

1. Institute of AI, Soochow University suzhou, China

2. Rutgers University New Jersey, USA

3. University of Central Arkansas Conway, Arkansas, USA

4. Suzhou University of Science and Technology, China

5. The University of Queensland Queensland, Australia

Publisher

ACM Press

Reference24 articles.

1. Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259(2014).

2. Kazi Nazmul Haque, Mohammad Abu Yousuf, and Rajib Rana. 2018. Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention. arXiv preprint arXiv:1801.05141(2018).

3. Xiangnan He and Tat-Seng Chua. 2017. Neural factorization machines for sparse predictive analytics. In SIGIR. ACM, 355-364.

4. Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939(2015).

5. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural computation9, 8 (1997), 1735-1780.

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