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Table 23 Coverage@K results on Diginetica, \(K=[1, 3, 5, 10, 15, 20]\)

From: Improving session-based recommendation with contrastive learning

Method Diginetica
COV@1 COV@3 COV@5 COV@10 COV@15 COV@20
STAMP 0.3407 0.5494 0.6583 0.8026 0.8715 0.9109
STAMP-CL 0.3573 0.5562 0.6677 0.8124 0.8831 0.9216
RepeatNet 0.2866 0.4636 0.5549 0.6856 0.7585 0.8060
RepeatNet-CL 0.3121 0.5170 0.6174 0.7562 0.8304 0.8776
SR-GNN 0.2938 0.4830 0.5757 0.6952 0.7518 0.8142
SR-GNN-CL 0.3228 0.5304 0.6364 0.7813 0.8514 0.8858
SR-IEM 0.2973 0.5051 0.6107 0.7507 0.8256 0.8708
SR-IEM-CL 0.3202 0.5361 0.6482 0.7974 0.8706 0.9130
PIE 0.3034 0.5079 0.6151 0.7586 0.8334 0.8792
PIE-CL 0.3294 0.5438 0.6565 0.8060 0.8794 0.9194