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Table 17 MRR@K results on Yoochoose1/4, \(K=[1, 3, 5, 10, 15, 20]\)

From: Improving session-based recommendation with contrastive learning

Method Yoochoose1/4
MRR@1 MRR@3 MRR@5 MRR@10 MRR@15 MRR@20
STAMP 0.1766 0.2590 0.2823 0.2997 0.3049 0.3071
STAMP-CL 0.1774 0.2612 0.2837 0.3012 0.3063 0.3086
RepeatNet 0.1855 0.2655 0.2916 0.3070 0.3123 0.3147
RepeatNet-CL 0.1880 0.2683 0.2929 0.3097 0.3151 0.3175
SR-GNN 0.1889 0.2713 0.2945 0.3116 0.3167 0.3189
SR-GNN-CL 0.1901 0.2723 0.2953 0.3125 0.3176 0.3199
SR-IEM 0.1857 0.2681 0.2918 0.3090 0.3141 0.3163
SR-IEM-CL 0.1849 0.2681 0.2917 0.3091 0.3142 0.3170
PIE 0.1869 0.2667 0.2916 0.3087 0.3138 0.3171
PIE-CL 0.1876 0.2697 0.2937 0.3110 0.3160 0.3190
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