Attentive Contextual Denoising Autoencoder for Recommendation-Reference-Cited by-同舟云学术

Attentive Contextual Denoising Autoencoder for Recommendation

Published:2018-09-10 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval
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Author:

Jhamb Yogesh¹,Ebesu Travis¹,Fang Yi¹

Affiliation:

1. Santa Clara University, Santa Clara, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3234944.3234956

Reference35 articles.

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2. Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and TatSeng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. 10.1145/3077136.3080797 Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and TatSeng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. 10.1145/3077136.3080797

3. Minmin Chen Kilian Weinberger Fei Sha and Yoshua Bengio. 2014. Marginalized denoising auto-encoders for nonlinear representations. In ICML. Minmin Chen Kilian Weinberger Fei Sha and Yoshua Bengio. 2014. Marginalized denoising auto-encoders for nonlinear representations. In ICML.

4. Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks

5. Rong Du Zhiwen Yu Tao Mei Zhitao Wang Zhu Wang and Bin Guo. 2014. Predicting activity attendance in event-based social networks: Content context and social influence. In UbiComp. 10.1145/2632048.2632063 Rong Du Zhiwen Yu Tao Mei Zhitao Wang Zhu Wang and Bin Guo. 2014. Predicting activity attendance in event-based social networks: Content context and social influence. In UbiComp. 10.1145/2632048.2632063

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