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Personal recommendation via modified collaborative filtering |
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| Authors: | Run-Ran Liu Tao Zhou Duo Sun |
| Institution: | a Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei Anhui, 230026, PR China b Department of Physics, University of Fribourg, Chemin du Muse 3, CH-1700 Fribourg, Switzerland c Institute of Complex Adaptive System, Shanghai Academy of System Science, Shanghai, PR China |
| Abstract: | In this paper, we propose a novel method to compute the similarity between congeneric nodes in bipartite networks. Different from the standard cosine similarity, we take into account the influence of a node’s degree. Substituting this new definition of similarity for the standard cosine similarity, 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. |
| Keywords: | 89 75 Hc 87 23 Ge 05 70 Ln |
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