基于Transformer和知识图谱的新闻推荐新方法
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凤丽洲,杨阳,王友卫,杨贵军
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New method for news recommendation based on Transformer and knowledge graph
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Li-zhou FENG,Yang YANG,You-wei WANG,Gui-jun YANG
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表 2 不同方法在数据集上的性能比较 |
Tab.2 Performance comparison of different methods on datasets |
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方法 | MIND-small | | MIND-large | AUC | F1 | P | R | AUC | F1 | P | R | NRMS | 0.618 | 0.539 | 0.618 | 0.480 | | 0.656 | 0.611 | 0.627 | 0.596 | DKN | 0.603 | 0.523 | 0.549 | 0.501 | 0.619 | 0.571 | 0.630 | 0.528 | KGCN | 0.582 | 0.335 | 0.449 | 0.267 | 0.604 | 0.372 | 0.598 | 0.273 | RippleNet | 0.598 | 0.529 | 0.544 | 0.515 | 0.613 | 0.567 | 0.622 | 0.524 | GNUD | 0.602 | 0.530 | 0.616 | 0.466 | 0.627 | 0.602 | 0.631 | 0.580 | TKGN | 0.637 | 0.563 | 0.623 | 0.515 | 0.679 | 0.624 | 0.655 | 0.601 |
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