Model-Based Approach to Design and Develop Usable and Dependable Recommender Systems
Résumé
Large companies rely on recommender systems to support users' processes of decision-making and analysis of large datasets of items. In critical context, such as civil aircraft cockpit, recommender systems can be a powerful tool for operators to support their tasks. Operators can be confronted with choosing the right option depending on the current alerts and context from a set of alternatives. The main goal of the presented PhD is to propose a model-based approach for the design and the development of dependable and usable recommender systems. This paper elaborates on challenges and approaches for engineering dependable and usable recommender systems.
Domaines
Modélisation et simulation
Origine : Fichiers produits par l'(les) auteur(s)
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