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Table 13 MRR@K results on Yoochoose1/64, \(K=[1, 3, 5, 10, 15, 20]\)

From: Improving session-based recommendation with contrastive learning

Method Yoochoose1/64
MRR@1 MRR@3 MRR@5 MRR@10 MRR@15 MRR@20
STAMP 0.1722 0.2565 0.2793 0.2965 0.3017 0.3039
STAMP-CL 0.1777 0.2597 0.2827 0.2999 0.3052 0.3074
RepeatNet 0.1831 0.2639 0.2874 0.3047 0.3099 0.3103
RepeatNet-CL 0.1846 0.2648 0.2882 0.3054 0.3107 0.3131
SR-GNN 0.1778 0.2617 0.2851 0.3022 0.3072 0.3095
SR-GNN-CL 0.1777 0.2616 0.2849 0.3020 0.3072 0.3094
SR-IEM 0.1849 0.2672 0.2903 0.3075 0.3125 0.3145
SR-IEM-CL 0.1851 0.2678 0.2912 0.3083 0.3133 0.3151
PIE 0.1848 0.2673 0.2914 0.3084 0.3144 0.3156
PIE-CL 0.1856 0.2689 0.2929 0.3095 0.3145 0.3170
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