Litcius/Paper detail

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

Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen

2022Information Sciences121 citationsDOI

Topics & Concepts

Computer scienceCold start (automotive)MovieLensRecommender systemMachine learningArtificial intelligenceBenchmark (surveying)Deep learningCollaborative filteringCredibilityInformation retrievalGeodesyEngineeringPolitical scienceGeographyLawAerospace engineeringPrivacy-Preserving Technologies in DataRecommender Systems and TechniquesCaching and Content Delivery
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems | Litcius