Context-aware Helpfulness Prediction for Online Product ReviewsThe work described in this paper is substantially supported by a grant from the Research Grant Council of the Hong Kong Special Administrative Region, China (Project Code: 14204418).
Table 4: Cross-domain investigation
['[EMPTY]', 'D1-Phone D2-Home', 'D1-Health D2-Electronics']
This shows that our proposed model can effectively learn cross domain features and is robust to “out-of-vocabulary” (OOV) problem by predicting reasonable helpfulness score having a high correlation to human score.