Journal article

Effect of initial configuration on network-based recommendation

  • Zhou, Tao Department of Physics, University of Fribourg, Switzerland - Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China Hefei Anhui, PRC - Information Economy and Internet Research Laboratory, University of Electronic Science and Technology of China - Chengdu Sichuan, PRC
  • Jiang, L.-L. Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China Hefei Anhui, PRC
  • Su, R.-Q. Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China Hefei Anhui, PRC - Information Economy and Internet Research Laboratory, University of Electronic Science and Technology of China - Chengdu Sichuan, PRC
  • Zhang, Yi-Cheng Department of Physics, University of Fribourg, Switzerland - Information Economy and Internet Research Laboratory, University of Electronic Science and Technology of China - Chengdu Sichuan, PRC
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    13.02.2008
Published in:
  • Europhysics Letters. - 2008, vol. 81, no. 5, p. 58004
English In this paper, based on a weighted object network, we propose a recommendation algorithm, which is sensitive to the configuration of initial resource distribution. Even under the simplest case with binary resource, the current algorithm has remarkably higher accuracy than the widely applied global ranking method and collaborative filtering. Furthermore, we introduce a free parameter β to regulate the initial configuration of resource. The numerical results indicate that decreasing the initial resource located on popular objects can further improve the algorithmic accuracy. More significantly, we argue that a better algorithm should simultaneously have higher accuracy and be more personal. According to a newly proposed measure about the degree of personalization, we demonstrate that a degree-dependent initial configuration can outperform the uniform case for both accuracy and personalization strength.
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/300707
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