融合用户感知和多因素的兴趣点推荐

卢巧杰,王楠,李金宝,李坤

Point-of-interest recommendation integrating user perception and multi-factor

Qiao-jie LU,Nan WANG,Jin-bao LI,Kun LI

表 3 UPMF模型与其变体模型在Gowalla和Yelp数据集上的P@N、R@N和NDCG@N性能比较

Tab.3 Performance comparison of P@N、R@N and NDCG@N between UPMF model and its variant models on Gowalla and Yelp datasets

对比模型 Gowalla Yelp P@10 P@20 R@10 R@20 NDCG@10 NDCG@20 P@10 P@20 R@10 R@20 NDCG@10 NDCG@20 UPMF-sim 0.0555 0.0439 0.0556 0.0860 0.0609 0.0512 0.0300 0.0258 0.0444 0.0765 0.0316 0.0282 UPMF-SGM 0.0444 0.0360 0.0438 0.0672 0.0480 0.0411 0.0223 0.0201 0.0320 0.0568 0.0234 0.0215 UPMF-GM 0.0539 0.0442 0.0538 0.0865 0.0593 0.0509 0.0300 0.0257 0.0454 0.0764 0.0321 0.0285 UPMF-SM 0.0516 0.0422 0.0519 0.0833 0.0566 0.0486 0.0289 0.0252 0.0440 0.0746 0.0311 0.0278 UPMF-UPIS 0.0550 0.0441 0.0553 0.0866 0.0598 0.0508 0.0306 0.0258 0.0470 0.0774 0.0326 0.0287 UPMF 0.0556 0.0445 0.0571 0.0886 0.0618 0.0519 0.0307 0.0267 0.0460 0.0784 0.0326 0.0292