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Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems

Omar Abdul Wahab, Gaith Rjoub, Jamal Bentahar and Robin Cohen

Article (2022)

Document published while its authors were not affiliated with Polytechnique Montréal

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PolyPublie URL: https://publications.polymtl.ca/51426/
Journal Title: Information Sciences (vol. 601)
Publisher: Science Direct
DOI: 10.1016/j.ins.2022.04.027
Official URL: https://doi.org/10.1016/j.ins.2022.04.027
Date Deposited: 18 Apr 2023 14:58
Last Modified: 18 Apr 2023 14:58
Cite in APA 7: Abdul Wahab, O., Rjoub, G., Bentahar, J., & Cohen, R. (2022). Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Information Sciences, 601, 189-206. https://doi.org/10.1016/j.ins.2022.04.027

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