Personal Recommendation via Modified Collaborative Filtering

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In this paper, we propose a novel method to compute the similarity between congeneric nodes in bipartite networks. Different from the standard Person correlation, we take into account the influence of node's degree. Substituting this new definition of similarity for the standard Person correlation, we propose a modified collaborative filtering (MCF). Based on a benchmark database, we demonstrate the great improvement of algorithmic accuracy for both user-based MCF and object-based MCF.
7 pages, 8 figures and 1 table

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Data Analysis, Statistics and Probability, Physics and Society

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http://salesiana.dossiersoluciones.com/handle/123456789/210333

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0801.1333
 http://arxiv.org/abs/0801.1333
 Physica A 388 (2009) 462-468
 doi:10.1016/j.physa.2008.10.010

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arXiv