Improving Explainable Recommendations with Synthetic Reviews
Table 2. Pearson correlation between polarity of reviews and related ratings (p ¡ 0.05)
['[BOLD] Models', '[BOLD] Pearson correlation (%)']
According to the results, the ground truth ratings have higher correlations with generated reviews than reviews in Test-pair. The GCN model shows strong linear correlations with ground truth ratings. Consequently, the results indicate a linear relationship between the polarity of generated reviews and ground truth ratings. The correlation values point to the reason why the generated reviews can reduce the influence of outliers. This validates the observation that synthetic reviews from generation models provide more consistent information for recommendations than human written text.