On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Learning personal preferences on online newspaper articles from user behaviors
Selected papers from the sixth international conference on World Wide Web
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Discovering User Interests from Web Browsing Behavior: An Application to Internet News Services
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
A semantic-expansion approach to personalized knowledge recommendation
Decision Support Systems
Computerized support for idea generation during knowledge creating process
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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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.