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Model-Based Approach to Design and Develop Usable and Dependable Recommender Systems

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-02436713
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  • HAL Id : hal-02436713, version 1
  • OATAO : 24939

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Elodie Bouzekri. Model-Based Approach to Design and Develop Usable and Dependable Recommender Systems. 10th ACM SIGCHI conference Engineering Interactive Computing Systems (EICS 2018), Jun 2018, Paris, France. pp.1-7. ⟨hal-02436713⟩

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