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- W2361990308 abstract "In view of the limitation of the traditional CF(Collaborative Filtering)algorithm and the CF algo- rithm based on the project grading which the data are sparse,extended and the counting efficiency is low,a simi- lar computation and the recommendation selection method based on the correlation similar CF algorithm is pro- posed.This method improve similar computation and the recommendation collection selection method by introdu- cing an evaluation factor.It has a more accurate user interest forecast,and enhances the system recommendation the quality and the recommendation efficiency.The experiment and the performance analysis for the improved al- gorithm are made,proved that the improved algorithm can obviously increase the recommendation precision, MAE(Mean Absolute Error)is 0.53～0.77." @default.
- W2361990308 created "2016-06-24" @default.
- W2361990308 creator A5066041614 @default.
- W2361990308 date "2008-01-01" @default.
- W2361990308 modified "2023-09-26" @default.
- W2361990308 title "Improvement on Correlation Similar Collaborative Filtering Algorithm" @default.
- W2361990308 hasPublicationYear "2008" @default.
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