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A Multi-Context Framework For Modeling An Agent-Based Recommender System by Prasanth Kumar is a document available to read on EtoBox.
This paper presents a multi-agent recommender system utilizing an extended Belief-Desire-Intention (BDI) model integrated with multi-context systems to enhance decision-making in dynamic environments, particularly in healthcare. The framework addresses user preferences and social contexts while managing uncertainty, aiming to provide personalized recommendations. A real-world scenario illustrates the system
- Author
- Prasanth Kumar
- Language
- EN