A New Hybrid Collaborative Filtering Algorithm

Abstract:

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Considering the inaccuracy of the traditional similarity method in the k-nearest neighbor algorithm (KNN), we put forward a hybrid algorithm crossing the principal components analysis (PCA) and KNN via a fresh hybrid way. The algorithm makes use of differences in the contribution rates of features mined by PCA to build the similarity model of users. The experiment results argue that the fresh hybrid algorithm makes personalized recommendations very effective.

Info:

Periodical:

Edited by:

Robin G. Qiu and Yongfeng Ju

Pages:

80-86

DOI:

10.4028/www.scientific.net/AMM.135-136.80

Citation:

C. X. Yin and Q. K. Peng, "A New Hybrid Collaborative Filtering Algorithm", Applied Mechanics and Materials, Vols. 135-136, pp. 80-86, 2012

Online since:

October 2011

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Price:

$35.00

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