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Responsible AI in Personalised Movie Recommender Systems for the Hearing Impaired Community

Vachhani, Roshni; Hadzidedic, Suncica

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Authors

Roshni Vachhani



Contributors

Kohei Arai
Editor

Abstract

The aim of this paper is to develop a personalised recommender system (RS) in the movie domain - MRSystem - with a focus on Responsible AI for the hearing impaired community. There is currently no movie RS that looks at protected characteristics when generating recommendations to ensure that no user is disadvantaged. MRSystem was developed to look at data from MovieLens and Netflix databases, identify user preferences and any previous patterns on Closed Captions, and then provide personalised recommendations that match patterns identified using conventional RS techniques and Responsible AI principles. The results from the user study and offline evaluations we performed highlight the need for disability-aware RSs that account for Responsible AI principles.

Citation

Vachhani, R., & Hadzidedic, S. (2024, September). Responsible AI in Personalised Movie Recommender Systems for the Hearing Impaired Community. Presented at 2024 Intelligent Systems Conference (IntelliSys), Amsterdam, The Netherlands

Presentation Conference Type Conference Paper (published)
Conference Name 2024 Intelligent Systems Conference (IntelliSys)
Start Date Sep 5, 2024
End Date Sep 6, 2024
Acceptance Date Jul 10, 2024
Online Publication Date Aug 1, 2024
Publication Date Aug 1, 2024
Deposit Date Oct 9, 2024
Publicly Available Date Oct 9, 2024
Print ISSN 2367-3370
Publisher Springer
Peer Reviewed Peer Reviewed
Pages 195-214
Series Title Lecture Notes in Networks and Systems
Series ISSN 2367-3389
Book Title Intelligent Systems and Applications Proceedings of the 2024 Intelligent Systems Conference (IntelliSys) Volume 4
ISBN 9783031663352
DOI https://doi.org/10.1007/978-3-031-66336-9_15
Public URL https://durham-repository.worktribe.com/output/2951183

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