Towards Conversational Recommendation over Multi-Type Dialogs
Table 6: Analysis of goal completion and knowledge usage across different dialog types.
['Methods→ Metrics↓Types↓', 'Methods→ Metrics↓Types↓', 'S2S +gl. +kg.', 'MGCG_R +gl. +kg.', 'MGCG_G +gl. +kg.']
We see that the number of used knowledge is proportional to goal success rate across different dialog types or different methods, indicating that the knowledge selection capability is crucial to goal completion through dialogs. Moreover, the goal of chitchat dialog is easier to complete in comparison with others, and QA and recommendation dialogs are more challenging to complete. How to strengthen knowledge selection capability in the context of multi-type dialogs, especially for QA and recommendation, is very important, which will be left as the future work.