## 4 Results and Discussion
### Results and Analysis
#### 4.3.3 Ablation Study of Key Modules in the Proposed Method  
This experiment was conducted to assess the individual contributions of the key structural components within the overall strategy-generation framework by progressively removing each module. As shown in Table 8, a continuous improvement across all four metrics was observed as individual components were incrementally restored, demonstrating the synergistic value of each module in modeling complex behavioral patterns under large-scale data conditions. \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline \multirow{2}{*}{**Model**} & \multirow{2}{*}{\begin{tabular}{c} **Total** \\ **Profit** \\ **Gain** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Average** \\ **Reward** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Std. of** \\ **Actions** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **R2** \\ **Ratio** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **Sharpe** \\ **Drawdown** \\ \end{tabular} } & \multirow{2}{*}{
\begin{tabular}{c} **Max** \\ **Drawdown** \\ \end{tabular} } \\ \cline{1-1}  & & & & & & & \\ \hline XGBoost [61] & 0.14 & 3.41 & 0.90 & 0.63 & 0.66 & 0.42 \\ BERT [63] & 0.18 & 3.71 & 0.85 & 0.70 & 0.70 & 0.38 \\ LSTM-based [65] & 0.21 & 3.93 & 0.77 & 0.74 & 0.74 & 0.35 \\ Transformer-based [64] & 0.25 & 4.07 & 0.70 & 0.79 & 0.79 & 0.29 \\ DQN [62] & 0.29 & 4.26 & 0.60 & 0.83 & 0.82 & 0.26 \\ Proposed method & 0.33 & 4.66 & 0.43 & 0.87 & 0.85 & 0.20 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Prediction results on browsing behavior dataset. \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline \multirow{2}{*}{**Model**} & \multirow{2}{*}{\begin{tabular}{c} **Total** \\ **Profit** \\ **Gain** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Average** \\ **Reward** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Std. of** \\ **Actions** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **R2** \\ **Ratio** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **Sharpe** \\ **Drawdown** \\ \end{tabular} } & \multirow{2}{*}{
\begin{tabular}{c} **Max** \\ **Drawdown** \\ \end{tabular} } \\ \hline XGBoost [61] & 0.15 & 3.43 & 0.93 & 0.64 & 0.67 & 0.40 \\ BERT [63] & 0.19 & 3.74 & 0.84 & 0.69 & 0.70 & 0.36 \\ LSTM-based [65] & 0.23 & 3.96 & 0.75 & 0.75 & 0.75 & 0.32 \\ Transformer-based [64] & 0.26 & 4.11 & 0.67 & 0.78 & 0.79 & 0.28 \\ DQN [62] & 0.30 & 4.30 & 0.55 & 0.82 & 0.81 & 0.24 \\ Proposed Method & 0.32 & 4.72 & 0.44 & 0.86 & 0.84 & 0.22 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Prediction results on inventory status dataset. \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline \multirow{2}{*}{**Model**} & \multirow{2}{*}{\begin{tabular}{c} **Total** \\ **Profit** \\ **Gain** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Average** \\ **Reward** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Std. of** \\ **Actions** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **R2** \\ **Ratio** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **Sharpe** \\ **Drawdown** \\ \end{tabular} } & \multirow{2}{*}{
\begin{tabular}{c} **Max** \\ **Drawdown** \\ \end{tabular} } \\ \hline XGBoost [61] & 0.13 & 3.38 & 0.92 & 0.62 & 0.65 & 0.41 \\ BERT [63] & 0.17 & 3.67 & 0.86 & 0.69 & 0.69 & 0.37 \\ LSTM-based [65] & 0.20 & 3.88 & 0.79 & 0.73 & 0.73 & 0.34 \\ Transformer-based [64] & 0.24 & 4.09 & 0.73 & 0.78 & 0.78 & 0.31 \\ DQN [62] & 0.28 & 4.33 & 0.61 & 0.82 & 0.81 & 0.27 \\ Proposed method & 0.36 & 4.91 & 0.38 & 0.90 & 0.87 & 0.19 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Prediction results on product pricing records dataset. \begin{table}
\begin{tabular}{l c c c c c} \hline \hline \multirow{2}{*}{**Model**} & \multirow{2}{*}{ \begin{tabular}{c} **Total** \\ **Profit** \\ **Gain** \\ \end{tabular}  } & \multirow{2}{*}{ \begin{tabular}{c} **Average** \\ **Reward** \\ \end{tabular}  } & \multirow{2}{*}{ \begin{tabular}{c} **Std. of** \\ **Actions** \\ \end{tabular}  } & \multirow{2}{*}{