Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

Wide & deep learning for recommender systems

Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, et al · 2016

Earlier work this paper cites.

Deep neural networks for youtube recommendations. In RecSys . 191–198

Paul Covington, Jay Adams, and Emre Sargin. 2016 · 2016

Earlier work this paper cites.

DeepFM: a factorization-machine based neural network for CTR prediction. In IJCAI . 1725–1731

Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, and Xiuqiang He. 2017 · 2017

Earlier work this paper cites.

Attention is all you need. In NIPS . 5998–6008

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Earlier work this paper cites.

Bert: Pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018

Earlier work this paper cites.

Real-time personalization using embeddings for search ranking at Airbnb. In KDD . 311–320

Mihajlo Grbovic and Haibin Cheng. 2018 · 2018

Earlier work this paper cites.

Self-attentive sequential recommendation. In ICDM . 197–206

Wang-Cheng Kang and Julian McAuley. 2018 · 2018

Cited alongside, same era.

xDeepFM: Combining explicit and implicit feature interactions for recommender systems. In KDD . 1754–1763

Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, and Guangzhong Sun. 2018 · 2018

Cited alongside, same era.

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. In KDD . 596–605

Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, and Luo Si. 2018 · 2018

Cited alongside, same era.

Billion-scale commodity embedding for e-commerce recommendation in alibaba. In KDD . 839–848

Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, and Dik Lun Lee. 2018 · 2018

Cited alongside, same era.

Deep interest network for click-through rate prediction. In KDD . 1059–1068

Guorui Zhou, Xiaoqiang Zhu, Chenru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, and Kun Gai. 2018 · 2018

Cited alongside, same era.

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, and Binqiang Zhao. 2019 · 2019

Closest in time.

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Pipei Huang, Huan Zhao, Guoliang Kang, Qiwei Chen, Wei Li, and Dik Lun Lee. 2019 · 2019

Closest in time.

Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Original

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, and Dan Pei. 2019 · 2019

Closest in time.

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019

Closest in time.

A hybrid framework for text modeling with convolutional rnn. In KDD . 2061–2069

Chenglong Wang, Feijun Jiang, and Hongxia Yang. 2017b · 2069