BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

14 Apr 2019Fei SunJun LiuJian WuChanghua PeiXiao LinWenwu OuPeng Jiang

Modeling users' dynamic and evolving preferences from their historical behaviors is challenging and crucial for recommendation systems. Previous methods employ sequential neural networks (e.g., Recurrent Neural Network) to encode users' historical interactions from left to right into hidden representations for making recommendations... (read more)

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