# Diversifying Furniture Recommendations: A User-Profile-Enhanced Recommender VAE Approach
## 5 Evaluations
### User Profile Prediction Performance
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c c c c c} \hline \hline  & **Axis** & **Becx** & **Cont** & **Craft** & **Ecle** & **Farm** & **Indu** & **Medi** & **Midc** & **Mode** & **Rust** & **Scan** & **Sout** & **Trad** & **Tran** & **Trop** & **Vict** \\ \hline \hline \multicolumn{11}{c}{USER 1} \\ \hline Profile & 0.0525 & 0.0034 & 0.8652 & 0.0021 & 0.0058 & 0.0015 & 0.0193 & 0.0104 & 0.0127 & 0.1029 & 0.0047 & 0.0074 & 0.0028 & 0.3213 & 1.0 & 0.0001 & 0 \\ \hline \multicolumn{11}{c}{Syles} & 0 & 0 & 14 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 5 & 29 & 0 & 0 \\ \hline \multicolumn{11}{c}{Syles + Images} & 2 & 1 & 17 & 1 & 1 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 3 & 23 & 0 & 0 \\ \hline \multicolumn{11}{c}{USER 2} \\ \hline Profile & 0.1011 & 0.1902 & 0.9770 & 0.0004 & 0.0376 & 0.0225 & 0.0117 & 0.0229 & 0.0976 & 0.5756 & 0.0001 & 0.0041 & 0.0003 & 0.9461 & 1.0 & 0.0096 & 0 \\ \hline \multicolumn{11}{c}{Syles} & 0 & 2 & 14 & 1 & 0 & 0 & 1 & 0 & 1 & 7 & 0 & 0 & 12 & 8 & 0 & 0 \\ \hline \multicolumn{11}{c}{Syles + Images} & 0 & 1 & 12 & 1 & 0 & 0 & 1 & 0 & 0 & 5 & 0 & 0 & 0 & 15 & 15 & 0 & 0 \\ \hline \multicolumn{11}{c}{USER 3} \\ \hline Profile & 0.1971 & 0.0016 & 1.0 & 0.0001 & 0.0302 & 0.0194 & 0 & 0.0120 & 0.0073 & 0.7081 & 0.0011 & 0.0012 & 0.0013 & 0.1264 & 0.6070 & 0.0087 & 0.013 \\ \hline \multicolumn{11}{c}{Syles} & 1 & 1 & 19 & 0 & 1 & 1 & 0 & 0 & 11 & 0 & 0 & 3 & 11 & 0 & 0 \\ \hline \multicolumn{11}{c}{Syles + Images} & 1 & 3 & 19 & 0 & 0 & 1 & 1 & 2 & 0 & 8 & 0 & 0 & 0 & 5 & 10 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Cosine similarity between new and original user profiles for proposed models and RecVAE on Amazon Furniture Review Dataset. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c c c} \hline \hline  & **Axis** & **Becx** & **Cont** & **Craft** & **Ecle** & **Farm** & **Indu** & **Medi** & **Midc** & **Mode** & **Rust** & **Scan** & **Sout** & **Trad** & **Tran** & **Trop** & **Vict** \\ \hline \multicolumn{11}{c}{USER 1} \\ \hline Profile & 0.0525 & 0.0034 & 0.8652 & 0.0021 & 0.0058 & 0.0015 & 0.0193 & 0.0104 & 0.0127 & 0.1029 & 0.0047 & 0.0074 & 0.0028 & 0.3213 & 1.0 & 0.0001 & 0 \\ \hline \multicolumn{11}{c}{Syles} & 0 & 0 & 14 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 5 & 29 & 0 & 0 \\ \hline \multicolumn{11}{c}{Syles + Images} & 2 & 1 & 17 & 1 & 1 & 0 & 0 & 0 & 0 & 2 & 0 & 0 & 3 & 23 & 0 & 0 \\ \hline \multicolumn{11}{c}{USER 2} \\ \hline Profile & 0.1011 & 0.1902 & 0.9770 & 0.0004 & 0.0376 & 0.0225 & 0.0117 & 0.0229 & 0.0976 & 0.5756 & 0.0001 & 0.0041 & 0.0003 & 0.9461 & 1.0 & 0.0096 & 0 \\ \hline \multicolumn{11}{c}{Syles} & 0 & 2 & 14 & 1 & 0 & 0 & 1 & 0 & 1 & 7 & 0 & 0 & 12 & 8 & 0 & 0 \\ \hline \multicolumn{11}{c}{Syles + Images} & 0 & 1 & 12 & 1 & 0 & 0 & 1 & 0 & 0 & 5 & 0 & 0 & 0 & 15 & 15 & 0 & 0 \\ \hline \multicolumn{11}{c}{USER 3} \\ \hline Profile & 0.1971 & 0.0016 & 1.0 & 0.0001 & 0.0302 & 0.0194 & 0 & 0.0120 & 0.0073 & 0.7081 & 0.0011 & 0.0012 & 0.0013 & 0.1264 & 0.6070 & 0.0087 & 0.013 \\ \hline \multicolumn{11}{c}{Syles} & 1 & 1 & 19 & 0 & 1 & 1 & 0 & 0 & 0 & 11 & 0 & 0 & 3 & 11 & 0 & 0 \\ \hline \multicolumn{11}{c}{Syles + Images} & 1 & 3 & 19 & 0 & 0 & 1 & 1 & 2 & 0 & 8 & 0 & 0 & 0 & 5 & 10 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Comparison of user profile scores and the number of each style in the top 50 recommendations of the proposed model for USER 1, USER 2, and USER 3 on Amazon furniture review data. Figure 9: Examples of items recommended by the proposed model.