Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
Table 4. The F1, AUC, and ACC for the whole sequence (above) and the sub-sequence from response 1 to 50 (below)
['Metric', 'MF', 'MLP', 'NeuMF', 'RRN', 'AutoRec', 'DeepRec', 'Ours']
It shows that our model outperforms the others. This is one of the most important factors in the user experience aspect, providing users with personalized services as quickly as possible.