Denoising Self-attentive Sequential Recommendation

Huiyuan Chen, Yusan Lin, Menghai Pan +6

Transformer-based sequential recommenders are very powerful for capturing both short-term and long-term sequential item dependencies. This is mainly attributed to their unique self…