… Feature-leveldeeperself-attentionnetwork for sequentialrecommendation[C]//Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Macao: …
沈义峰, 金辰曦, 王瑶, 张家想… - Journal of Frontiers of …, 2023 - search.ebscohost.com
… Abstract: Aiming at the problem that the sequencerecommendation models based on the self-attention mechanism ignore all … Feature-leveldeeperself-attentionnetwork 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-levelDeeperSelf-attention … Sequencerecommendation model combining self-attention mechanism and short-term and …
… Joint deep modeling of rating matrix and reviews for … Sequentialrecommendation model that combines self-attention mechanism with long-term and short-term preferences [J]. …
… Time Interval Aware SelfAttention for SequentialRecommendation[C]. Proceedings of the 13th International Conference on Web Search and Data Mining, 2020:322-330 [23] Shen Z, …
赵小明, 杨轶娇, 张石清 - … of Frontiers of Computer Science & …, 2022 - search.ebscohost.com
… 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…
… Review of remote sensing change detection in deep learning:… A hierarchical self-attention augmented Laplacian pyramid … Featurelevel change detection using deep representation and …