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

Bouzekri, Elodie Model-Based Approach to Design and Develop Usable and Dependable Recommender Systems. (2018) In: 10th ACM SIGCHI conference Engineering Interactive Computing Systems (EICS 2018), 19 June 2018 - 22 June 2018 (Paris, France).

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Official URL: https://doi.org/10.1145/3220134.3220147

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM. The definitive version is available at http://dl.acm.org This papers appears in Article N°17 of EICS'18 ISBN 978-1-4503-5897-2 The original PDF is available at: https://dl.acm.org/doi/10.1145/3220134.3220147
HAL Id:hal-02436713
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:06 Jan 2020 15:54

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