2019 BERT4RecSequentialRecommendatio

• (Sun, Liu et al., 2019) ⇒ Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. (2019). “BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.” In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM-2019).

Subject Headings: BERT4Rec; Sequential Recommendations Algorithm; Bidirectional Sequential Model; Cloz.

Notes

• https://github.com/FeiSun/BERT4Rec

Cited By

• http://scholar.google.com/scholar?q=%222019%22+BERT4Rec%3A+Sequential+Recommendation+with+Bidirectional+Encoder+Representations+from+Transformer

Quotes

Abstract

Modeling users’ dynamic preferences from their historical behaviors is challenging and crucial for recommendation systems. Previous methods employ sequential neural networks to encode users’ historical interactions from left to right into hidden representations for making recommendations. Despite their effectiveness, we argue that such left-to-right unidirectional models are sub-optimal due to the limitations including: a) unidirectional architectures restrict the power of hidden representation in users’ behavior sequences; b) they often assume a rigidly ordered sequence which is not always practical. To address these limitations, we proposed a sequential recommendation model called BERT4Rec, which employs the deep-bidirectional self-attention to model user behavior sequences. To avoid the information leakage and efficiently train the bidirectional model, we adopt the Cloze objective to sequential recommendation, predicting the random masked items in the sequence by jointly conditioning on their left and right context. In this way, we learn a bidirectional representation model to make recommendations by allowing each item in user historical behaviors to fuse information from both left and right sides. Extensive experiments on four benchmark datasets show that our model outperforms various state-of-the-art sequential models consistently.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2019 BERT4RecSequentialRecommendatio	Jun Liu Peng Jiang Fei Sun Jian Wu Changhua Pei Xiao Lin Wenwu Ou			BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer						2019