Graph Neural Network을 활용한 추천 시스템 성능 개선을 위한 시간 기반 데이터 분석

Created on March 5|Last edited on March 16

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eval/precision@20 v. eval/recall@20
eval/precision@20 v. eval/recall@20
0.000.050.100.150.200.250.300.350.40eval/recall@2000.020.040.060.080.10.120.140.160.180.20.220.240.260.280.3eval/precision@20
eval/precision@20 and eval/F1 v. eval/recall@20
eval/precision@20 and eval/F1 v. eval/recall@20
0.000.050.100.150.200.250.300.350.40eval/F1
0.000.050.100.150.200.250.300.350.40eval/recall@2000.020.040.060.080.10.120.140.160.180.20.220.240.260.280.3eval/precision@20
Time_1_ml-100k23
Time_2_ml-100k23
Time_3_ml-100k23
Time_4_ml-100k23
Time_random_ml-100k23
Time_1_ml-1m23
Time_2_ml-1m23
Time_3_ml-1m23
Time_4_ml-1m23
Time_random_ml-1m23
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