Research Article
Neighborhood Attentional Memory Networks for Recommendation Systems
Table 3
Experimental results for different methods on the Epinions, citeulike-a, and Pinterest datasets.
| ā | Epinions | Citeulike-a | Pinterest | HR@5 | HR@10 | NDCG@5 | NDCG@10 | HR@5 | HR@10 | NDCG@5 | NDCG@10 | HR@5 | HR@10 | NDCG@5 | NDCG@10 |
| BPR | 0.5584 | 0.6659 | 0.4334 | 0.4683 | 0.6547 | 0.8083 | 0.4858 | 0.5357 | 0.6936 | 0.8674 | 0.4912 | 0.4912 | GMF | 0.5365 | 0.6562 | 0.4016 | 0.4404 | 0.7271 | 0.8326 | 0.5689 | 0.6034 | 0.6726 | 0.8505 | 0.4737 | 0.5316 | FISM | 0.5542 | 0.6717 | 0.4192 | 0.4573 | 0.6727 | 0.8072 | 0.5106 | 0.5545 | 0.6783 | 0.8654 | 0.4658 | 0.5268 | KNN | 0.1549 | 0.1555 | 0.1433 | 0.1435 | 0.6990 | 0.7348 | 0.5789 | 0.5909 | 0.5738 | 0.8376 | 0.3450 | 0.4310 | SVD++ | 0.5628 | 0.6754 | 0.4112 | 0.4477 | 0.6952 | 0.8199 | 0.5244 | 0.5649 | 0.6951 | 0.8684 | 0.4796 | 0.5362 | NeuMF | 0.5500 | 0.6660 | 0.4214 | 0.4590 | 0.7629 | 0.8647 | 0.5985 | 0.6316 | 0.7041 | 0.8732 | 0.4978 | 0.5530 | CMN-2 | 0.6017 | 0.7007 | 0.4724 | 0.5045 | 0.7959 | 0.8921 | 0.6185 | 0.6500 | 0.7267 | 0.8904 | 0.5180 | 0.5714 | NAMN-2 | 0.6230 | 0.7122 | 0.4913 | 0.5234 | 0.8233 | 0.9101 | 0.6576 | 0.6867 | 0.7470 | 0.8966 | 0.5432 | 0.5918 |
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