Litcius/Paper detail

Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence

Nima Joorabloo, Mahdi Jalili, Yongli Ren

2022Information Sciences19 citationsDOI

Topics & Concepts

Recommender systemCollaborative filteringComputer scienceSimilarity (geometry)Benchmark (surveying)Range (aeronautics)Artificial intelligenceMachine learningPreferenceInformation retrievalData miningStatisticsMathematicsComposite materialGeographyImage (mathematics)GeodesyMaterials scienceRecommender Systems and TechniquesImage and Video Quality AssessmentHuman Mobility and Location-Based Analysis
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence | Litcius