The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Behavior sequence transformer for e-commerce recommendation in Alibaba
Open accessAbstract
Deep learning based methods have been widely used in industrial recommendation systems (RSs). Previous works adopt an Embedding&MLP paradigm: raw features are embedded into low-dimensional vectors, which are then fed on to MLP for final recommendations. However, most of these works just concatenate different features, ignoring the sequential nature of users' behaviors. In this paper, we propose to use the powerful Transformer model to capture the sequential signals underlying users' behavior sequences for recommendation in Alibaba. Experimental results demonstrate the superiority of the proposed model, which is then deployed online at Taobao and obtain significant improvements in online Click-Through-Rate (CTR) comparing to two baselines.
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Cites
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Sun, F., Liu, J., Wu, J., Pei, C., Lin, X., Ou, W., & Jiang, P. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management · doi:10.1145/3357384.3357895 · Cited by 2,558
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Secure Federated Submodel Learning
Niu, C., Wu, F., Tang, S., Hua, L., Jia, R., Lv, C., Wu, Z., & Chen, G. (2019) · arXiv · doi:10.48550/arxiv.1911.02254 · Cited by 28
Zhao, P., Xiao, K., Zhang, Y., Bian, K., & Yan, W. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2021/290 · Cited by 7
Metadata
- Authors
- Chen, Q., Zhao, H., Li, W., Huang, P., & Ou, W.
- Venue
- Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
- Publisher
- ACM
- Published
- 2019-08-05
- Pages
- 1-4
- OpenAlex
- W2994850640
- Cited by
- 415
- References
- 2
- FWCI
- 30.46
- Type
- conference paper
- Language
- en
- Open access
- green
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- Chen, Q., Zhao, H., Li, W., Huang, P., & Ou, W. (2019). Behavior sequence transformer for e-commerce recommendation in Alibaba. Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data. https://doi.org/10.1145/3326937.3341261
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