基于多头自注意力神经网络的购物篮推荐方法*
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倪维健,郭浩宇,刘彤,曾庆田
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Online Product Recommendation Based on Multi-Head Self-Attention Neural Networks
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Weijian Ni,Haoyu Guo,Tong Liu,Qingtian Zeng
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表2 Ta-Feng数据集结果
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Table 2 Results on Ta-Feng Dataset
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Model | Precision | Recall | F1 | Hit-Rate | NDCG@5 | TOP | 0.0497 | 0.0698 | 0.0580 | 0.2172 | 0.0833 | Item-CF | 0.0272 | 0.0400 | 0.0324 | 0.1244 | 0.0431 | NFM | 0.0518 | 0.0728 | 0.0605 | 0.2432 | 0.0831 | DREAM | 0.0533 | 0.0781 | 0.0633 | 0.2322 | 0.0851 | NAM | 0.0599 | 0.0941 | 0.0732 | 0.2627 | 0.0925 | ANAM | 0.0600 | 0.0942 | 0.0733 | 0.2632 | 0.0925 | 本文方法 | 0.0624 | 0.0968 | 0.0759 | 0.2732 | 0.0940 |
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