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基于数据挖掘的视频推荐系统研究数统161203106337·2020的基于数据挖掘的视频推荐系统研究的研究的的的数据2020基于数据挖掘的视频推荐系统研究据的数据基于推荐系统研究推荐的视频研究SVD(SingularValueDecomposition)据视频的视频ALSAlternatingLeastSquares据于视频的的视频基于统推荐SVD的基ALS数据的推荐系统推荐系统2020ResearchonvideorecommendationsystembasedonDataMiningAbstractThispaperinvestigateshowtoefficientlyandaccuratelyrecommendvideosofinteresttousersbasedonapersonalizedrecommendationsystembasedonalargeamountofbehav-ioraldataofusers.Thestudyisbasedonthefollowingthreemaincomponents.FirsttheSVD(SingularValueDecomposition)algorithmisusedtoscorepredictionsforvideosthatarenotratedbyusersbasedonvideosimilarity.TheALS(AlternatingLeastSquares)algorithmisthenusedtoratepredictionsforvideosthatarenotratedbyusersbasedontheirlikingofthetagscontainedwithinthevideo.Finallydescriptivestatisticsbasedonprevalencemakepopularrecommendations.BasedontheSVDalgorithmthemodelistrainedbytheALSalgorithmandvalidatedonthedatasettoobtainamoreaccurateandpersonalizedrecommendations