Table 4 Feature field algorithm fairness...

Table 4

Feature field algorithm fairness calculation results

Feature field	Marketing coverage fairness			Marketing intensity fairness			Marketing frequency fairness			Mean	SD
Feature field	CEOD	CDMD	MCF	EDPD	DPJS	MIF	FDPD	DPJS	MFF	Mean	SD
A	0	0.1862	0.0931	0.0099	0	0.0049	0	0	0	0.0327	0.0524
B	1	1	1	0.0716	0.0711	0.0714	0.3062	0.0932	0.1997	0.4237	0.5032
C	0.7967	0.9242	0.8605	0.1300	0.3725	0.2513	0.4558	0.4830	0.4694	0.5270	0.3087
D	0.7849	0.8519	0.8184	0.0000	0.1800	0.0900	0.2196	0.1076	0.1636	0.3573	0.4010
E	0.7119	0.9065	0.8092	0.0099	0.3771	0.1935	0.2496	0.1331	0.1914	0.3980	0.3561
F	0.8007	0.2142	0.5075	1.0000	0.9661	0.9831	0.8753	0.7482	0.8118	0.7674	0.2409
G	0.8961	0.3143	0.6052	0.9832	1	0.9916	1	1	1	0.8656	0.2255
H	0.0601	0.8167	0.4384	0.1551	0.2950	0.2250	0.4821	0.3898	0.4360	0.3665	0.1225
I	0.8364	0	0.4182	0.1390	0.5646	0.3518	0.4750	0.6806	0.5778	0.4493	0.1161
Mean	0.6541	0.5794	0.6167	0.2776	0.4252	0.3514	0.4515	0.4039	0.4277	/	/
SD	0.3423	0.3693	0.2670	0.3857	0.3384	0.3538	0.2984	0.3296	0.3091	/	/

Feature field	Marketing coverage fairness			Marketing intensity fairness			Marketing frequency fairness			Mean	SD
Feature field	CEOD	CDMD	MCF	EDPD	DPJS	MIF	FDPD	DPJS	MFF	Mean	SD
A	0	0.1862	0.0931	0.0099	0	0.0049	0	0	0	0.0327	0.0524
B	1	1	1	0.0716	0.0711	0.0714	0.3062	0.0932	0.1997	0.4237	0.5032
C	0.7967	0.9242	0.8605	0.1300	0.3725	0.2513	0.4558	0.4830	0.4694	0.5270	0.3087
D	0.7849	0.8519	0.8184	0.0000	0.1800	0.0900	0.2196	0.1076	0.1636	0.3573	0.4010
E	0.7119	0.9065	0.8092	0.0099	0.3771	0.1935	0.2496	0.1331	0.1914	0.3980	0.3561
F	0.8007	0.2142	0.5075	1.0000	0.9661	0.9831	0.8753	0.7482	0.8118	0.7674	0.2409
G	0.8961	0.3143	0.6052	0.9832	1	0.9916	1	1	1	0.8656	0.2255
H	0.0601	0.8167	0.4384	0.1551	0.2950	0.2250	0.4821	0.3898	0.4360	0.3665	0.1225
I	0.8364	0	0.4182	0.1390	0.5646	0.3518	0.4750	0.6806	0.5778	0.4493	0.1161
Mean	0.6541	0.5794	0.6167	0.2776	0.4252	0.3514	0.4515	0.4039	0.4277	/	/
SD	0.3423	0.3693	0.2670	0.3857	0.3384	0.3538	0.2984	0.3296	0.3091	/	/

Note(s): Letters A-I represent gender, age, resident city level, 30-day online consumption number, 30-day online consumption amount, 30-day online transfer number, 30-day online transfer amount, 30-day APP login times, and 30-day payment page access times

Source(s): Table by authors’

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