… sequential recommendation model based on dual-tower … In addition, in the feature-level
self-attention block, this paper … ] 提出FDSA(feature-level deeper self-attention network) 模型,分别…

… Feature-level deeper self-attention network for sequential recommendation[C]//Proceedings
of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Macao: …

… 鉴于此,作者提出了序列深度匹配模型(sequential deep matching,… 力网络 (feature-level deeper
self-attention network,FDSA),该 … Improving end-to-end sequential recommendations with …

… Abstract: Aiming at the problem that the sequence recommendation models based on the
self-attention mechanism ignore all … Feature-level deeper self-attention network for sequential …

… ,根据影 响用户行为的重要程度赋予项目特征不同的权重 ( Feature-level Deeper Self-attention …
Sequence recommendation model combining self-attention mechanism and short-term and …

… Joint deep modeling of rating matrix and reviews for … Sequential recommendation
model that combines self-attention mechanism with long-term and short-term preferences [J]. …

… Time Interval Aware SelfAttention for Sequential Recommendation[C]. Proceedings of the
13th International Conference on Web Search and Data Mining, 2020:322-330 [23] Shen Z, …

… of deep learning methods developed in recent years in various tasks, a variety of deep neural
networks … 等[144] 提出了一种基于自注意力(selfattention)的特征级融合方法.对语音提取高维…

… Cross-domain recommendation algorithm with multiple attention mechanisms …
networks,CoNet)[27]和基于深 度对抗注意力网络的跨域推荐模型(deep adversarial and attention …

… Review of remote sensing change detection in deep learning:… A hierarchical self-attention
augmented Laplacian pyramid … Featurelevel change detection using deep representation and …