ELM Meets Urban Big Data Analysis: Case Studies

Table 3

The best average NDCG@10 results of optimal retain store placement.

Cities	Starbucks	TrueKungFu	YongheKing
MART (single city)
Beijing	0.743 ()	0.643 ()	0.725 ()
Shanghai	0.712 ()	0.689 ()	0.712 ()
Hangzhou	0.576 ()	0.611 ()	0.691 ()
Guangzhou	0.783 ()	0.691 ()	0.721 ()
Shenzhen	0.781 ()	0.711 ()	0.722 ()
RankBoost (single city)
Beijing	0.752 (23)	0.678 (20)	0.712 (19)
Shanghai	0.725 (25)	0.667 (20)	0.783 (21)
Hangzhou	0.723 (21)	0.575 (19)	0.724 (15)
Guangzhou	0.812 (22)	0.782 (19)	0.812 (18)
Shenzhen	0.724 (22)	0.784 (17)	0.712 (12)
BP (Single city)
Beijing	0.753 (45)	0.658 (40)	0.702 (41)
Shanghai	0.724 (44)	0.657 (42)	0.7283 (44)
Hangzhou	0.725 (41)	0.555 (40)	0.714 (45)
Guangzhou	0.832 (45)	0.772 (42)	0.512 (41)
Shenzhen	0.722 (47)	0.754 (42)	0.702 (45)
DAELM
Beijing	0.755 (3)	0.712 (2)	0.755 (2)
Shanghai	0.745 (5)	0.751 (3)	0.783 (1)
Hangzhou	0.755 (5)	0.711 (2)	0.752 (5)
Guangzhou	0.810 (9)	0.810 (5)	0.823 (4)
Shenzhen	0.780 (9)	0.783 (5)	0.723 (8)