# Logit Averaging: Capturing Global Relation for Session-Based Recommendation
## 3 Results
### Setup
#### 3.1.2 Baseline Methods  
To compare the recommendation performance of the baseline methods and the proposed method, we employ six different baselines. Those can be categorized into two groups--attention-based methods and GNN-based methods. We utilize NARM [11] and SR-SAN [12] for the attention-based methods and SR-GNN [15], NISER [16], EOPA [17] and TAGNN++ [18] for the GNN-based methods. We set the hyperparameters of each baseline method as the baseline did. The specific hyperparameters used in the experiments are described in Table 2. The experimental results are shown in Table 2. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Statistics** & **Diginetica** & **Retailrocket** & **Yoochoose1/64** & **Tmall** \\ \hline \# Train Sessions & 186,670 & 113,287 & 124,472 & 65,286 \\ \# Test Sessions & 15,936 & 71,235 & 15,324 & 1027 \\ \# Items & 43,098 & 27,413 & 37,484 & 40,728 \\ Avg. Length & 4.85 & 3.66 & 3.97 & 6.68 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Data Statistics. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Dataset** & **Model** & **LA** & **HR@10** & **MRR@10** & **Coverage@10** & **HR@20** & **MRR@20** & **Coverage@20** \\ \hline \multirow{8}{*}{RetailRocket} & NARM & 39.24 & 20.76 & 95.52 & 45.92 & 21.24 & 97.63 \\  & EOPA & 33.74 & 17.13 & 81.07 & 42.51 & 17.72 & 86.91 \\  & NISER & 33.24 & 22.24 & 88.66 & 37.54 & 22.53 & 93.42 \\  & SR-GNN & 31.98 & 18.81 & 76.09 & 37.24 & 19.17 & 80.40 \\  & SR-SAN & 37.96 & 17.25 & 93.97 & 44.91 & 17.74 & 96.53 \\  & TAGNN++ & 34.30 & 21.54 & 81.59 & 39.83 & 21.92 & 85.47 \\ \cline{2-8}  & NARM & 39.02 & 21.07 & 95.86 & 45.64 & 21.53 & 97.80 \\  & EOPA & 33.63 & 17.33 & 81.28 & 42.28 & 17.91 & 86.98 \\  & NISER & O & 33.33 & 22.09 & 88.59 & 37.66 & 22.39 & 93.39 \\  & SR-GNN & 34.40 & 21.92 & 85.34 & 39.45 & 22.27 & 89.29 \\  & SR-SAN & 37.50 & 17.26 & 92.44 & 44.33 & 17.75 & 95.45 \\  & TAGNN++ & 34.10 & 21.71 & 82.23 & 39.61 & 22.09 & 86.21 \\ \cline{2-8}  & **Gain (\%)** & 0.86 & 3.23 & 1.97 & 0.54 & 3.14 & 1.84 \\ \hline \multirow{8}{*}{Tmail} & NARM & 17.14 & 12.52 & 17.68 & 19.18 & 12.71 & 28.68 \\  & EOPA & 19.58 & 9.70 & 32.27 & 24.64 & 10.02 & 44.43 \\  & NISER & 18.89 & 14.04 & 18.93 & 21.03 & 14.18 & 31.83 \\  & SR-GNN & 16.55 & 11.00 & 13.79 & 18.79 & 11.17 & 21.52 \\  & SR-SAN & 18.99 & 12.74 & 12.67 & 21.62 & 12.92 & 19.65 \\  & TAGNN++ & 33.11 & 16.17 & 15.88 & 39.82 & 16.64 & 25.01 \\ \cline{2-8}  & NARM & 16.46 & 12.21 & 17.28 & 18.5 & 12.35 & 28.17 \\  & EOTA & 19.43 & 9.81 & 31.62 & 24.14 & 10.14 & 43.66 \\  & NISER & O & 18.11 & 13.52 & 19.21 & 20.35 & 13.60 & 32.43 \\  & SR-GNN & 16.85 & 11.92 & 15.47 & 19.67 & 12.11 & 24.81 \\  & SR-SAN & 20.55 & 14.25 & 12.63 & 23.17 & 14.43 & 19.54 \\  & TAGNN++ & 30.77 & 14.55 & 16.36 & 36.42 & 14.96 & 25.42 \\ \cline{2-8}  & **Gain (\%)** & -0.98 & 0.86 & 2.02 & -0.92 & 0.71 & 2.46 \\ \hline \multirow{8}{*}{Tmail} & NARM & 59.95 & 29.46 & 29.24 & 70.67 & 30.20 & 35.73 \\  & EOPA & 51.83 & 24.91 & 28.81 & 62.85 & 25.68 & 31.74 \\  & NISER & 60.25 & 30.91 & 29.46 & 70.55 & 31.64 & 34.61 \\  & SR-GNN & 59.56 & 29.47 & 23.19 & 69.87 & 30.19 & 26.54 \\  & SR-SAN & 53.90 & 25.96 & 28.28 & 64.89 & 26.73 & 32.62 \\  & TAGNN++ & 60.70 & 30.63 & 26.48 & 70.93 & 31.35 & 30.72 \\ \cline{2-8}  & NARM & 59.96 & 29.65 & 28.88 & 70.61 & 30.40 & 35.37 \\  & EOTA & 51.54 & 24.90 & 29.02 & 62.64 & 25.68 & 31.73 \\  & NISER & O & 60.23 & 30.88 & 29.40 & 70.48 & 31.60 & 34.73 \\  & SR-GNN & 60.46 & 30.90 & 27.68 & 70.55 & 31.61 & 32.06 \\  & SR-SAN & 53.75 & 26.00 & 28.31 & 64.91 & 26.77 & 32.63 \\  & TAGNN++ & 60.84 & 31.11 & 28.79 & 71.16 & 31.83 & 33.46 \\ \hline \multirow{8}{*}{Yoochoose 1/64} & **Gain (\%)** & 0.15 & 1.18 & 4.58 & 0.14 & 1.15 & 4.84 \\ \cline{2-8}  & **Gain (\%)** & 0.15 & 1.18 & 4.58 & 0.14 & 1.15 & 4.84 \\ \cline{1-1} \cline{2-8}  & **Gain (\%)** & 0.15 & 1.18 & 4.58 & 0.14 & 1.15 & 4.84 \\ \cline{1-1} \cline{2-8}  & **Gain (\%)** & 0.15 & 1.18 & 4.58 & 0.14 & 1.15 & 4.84 \\ \hline \hline \end{tabular}
\end{table}