On-Demand Dynamic Recommendation Mechanism in Support of Enhancing Idea Creativity for Group Argumentation

Versatile computerized aids for group argumentation for idea generation during problem solving process is becoming highlight research. In this paper, we propose a novel recommendation mechanism in the context of group argumentation, called On-demand Dynamic Recommendation Mechanism, which extracts user preferences from implicit and explicit feedbacks and provides personalized recommendation based on users' utterances and demands. The valuable reference provided by the mechanism could be accumulated to form a knowledge immersion environment to satisfy ever changing demand of users in support of facilitating idea creativity during the process of group discussion.