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

•Federated learning-based recommendation system for cold-start items.•Trust establishment for recommenders that considers resource utilization and credibility.•Recommender selection strategy based on Double Deep Q Learning.•Simulations on the MovieLens 1M dataset suggest better accuracy compared to...

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Bibliographic Details

Published in:	Information sciences Vol. 601; pp. 189 - 206
Main Authors:	Wahab, Omar Abdel, Rjoub, Gaith, Bentahar, Jamal, Cohen, Robin
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01-07-2022
Subjects:	Client selection Cold-start problem Deep reinforcement learning Federated learning Recommendation system Trust establishment Deep reinforcement learning Federated learning Client selection Cold-start problem Trust establishment Recommendation system
Online Access:	Get full text
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