Research Article
A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks
Table 4
HR@N and NDCG@N comparisons for different top-N values.
| Models | Yelp | HR | NDCG | N = 5 | N = 10 | N = 15 | N = 5 | N = 10 | N = 15 |
| BPR | 0.1713 | 0.2632 | 0.3289 | 0.1243 | 0.1575 | 0.1773 | FM | 0.1881 | 0.2835 | 0.3463 | 0.1359 | 0.1720 | 0.1895 | TrustSVD | 0.1906 | 0.2915 | 0.3693 | 0.1385 | 0.1738 | 0.1983 | GC-MC | 0.1932 | 0.2937 | 0.3652 | 0.1420 | 0.1740 | 0.1922 | PinSage | 0.2099 | 0.3065 | 0.3873 | 0.1536 | 0.1868 | 0.2130 | DiffNet | 0.2276 | 0.3477 | 0.4232 | 0.1679 | 0.2121 | 0.2331 | HA-RS | 0.2357 | 0.3557 | 0.4404 | 0.1803 | 0.2185 | 0.2451 |
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