Persona-Aware Tips Generation
Table 4. MAE and RMSE values for rating prediction.
['[EMPTY]', 'Electronics MAE', 'Electronics RMSE', 'Movies MAE', 'Movies RMSE', 'Yelp MAE', 'Yelp RMSE', 'Clothing MAE', 'Clothing RMSE', 'Home MAE', 'Home RMSE']
Recall that we also design an auxiliary component, i.e. rating prediction to capture the sentiment information and control the sentiment of the generated tips, which is also an important aspect of the task of tips generation. Therefore we design some experiments to evaluate the performance of this component. Our model consistently outperforms the best under both MAE and RMSE metrics on all datasets, thus it verifies that the generated persona embeddings are not only effective for generating better tips in the main task, but also useful for predicting accurate ratings in the auxiliary task. Statistical significance of differences between the performance of PATG and the recent method NRT is tested using a two-tailed paired t-test. The result shows that PATG is significantly better than NRT.