Context and Attribute-Aware Sequential Recommendation via Cross-Attention-Reference-Cited by-同舟云学术

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Published:2022-09-18 Issue: Volume: Page:
ISSN:
Container-title:Sixteenth ACM Conference on Recommender Systems
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Author:

Rashed Ahmed¹,Elsayed Shereen¹,Schmidt-Thieme Lars²

Affiliation:

1. Information Systems and Machine Learning Lab, University of Hildesheim, Germany

2. Institute for Computer Science, University of Hildesheim, Germany

Publisher

ACM

Reference36 articles.

1. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer Normalization. stat 1050(2016) 21. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer Normalization. stat 1050(2016) 21.

2. Are we really making much progress? A worrying analysis of recent neural recommendation approaches

3. J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09. J. Deng W. Dong R. Socher L.-J. Li K. Li and L. Fei-Fei. 2009. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR09.

4. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). 4171–4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 4171–4186.

5. Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems

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