Personal Recommendation via Modified Collaborative Filtering

Details Personal Recommendation via Modified Collaborative Filtering Personal Recommendation via Modified Collaborative Filtering

2008-01-08

arxiv.org/abs/0801.1333v4

Physica A 388 (2009) 462-468

Physics

Data Analysis, Statistics and Probability

7 pages, 8 figures and 1 table

Scientific paper

10.1016/j.physa.2008.10.010

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.

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