Skip to Main content Skip to Navigation
Conference papers

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

Elodie Bouzekri 1
1 IRIT-ICS - Interactive Critical Systems
IRIT - Institut de recherche en informatique de Toulouse
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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02436713
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Monday, January 13, 2020 - 12:15:00 PM
Last modification on : Saturday, June 13, 2020 - 3:45:55 AM
Long-term archiving on: : Tuesday, April 14, 2020 - 4:34:28 PM

File

bouzekri_24939.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02436713, version 1
  • OATAO : 24939

Citation

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⟩

Share

Metrics

Record views

66

Files downloads

113