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Hybrid Naive Bayes Classifier Weighting and Singular Value Decomposition Technique for recommender system
Author(s)
Puntheeranurak, Sutheera
Sanprasert, Supitchaya
Date Issued
September 12, 2011
Type
Conference Paper
Abstract
Recommender System is tool for recommending products or services to customers which helps increase circulation products in electronic commerce systems. This paper proposes Naive Bayes Classifier Weighing Technique that applies to use with Singular Value Decomposition Technique for solving sparsity problem. The comparison Mean Absolute Error (MAE) between Hybrid Naive Bayes Classifier Weighing and Singular Value Decomposition Technique (HNBW-SVD) and Pure Singular Value Decomposition Technique (SVD) that found HNBW-SVD yield lower MAE than SVD. © 2011 IEEE.
Citation
Icsess 2011 Proceedings 2011 IEEE 2nd International Conference on Software Engineering and Service Science, 473-476, 2011