Volume 80, Number 6, December 2007
|Number of page(s)||5|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||13 November 2007|
Recommendation model based on opinion diffusion
Physics Department, University of Fribourg - 1700 Fribourg, Switzerland
2 Department of Physics, Renmin University of China - Beijing 100872, PRC
3 Department of Modern Physics, University of Science and Technology of China - Hefei 230026, PRC
Corresponding author: firstname.lastname@example.org
Accepted: 15 October 2007
Information overload in the modern society calls for highly efficient recommendation algorithms. In this letter we present a novel diffusion-based recommendation model, with users' ratings built into a transition matrix. To speed up computation we introduce a Green function method. The numerical tests on a benchmark database show that our prediction is superior to the standard recommendation methods.
PACS: 89.65.-s – Social and economic systems / 89.75.Hc – Networks and genealogical trees / 89.20.Ff – Computer science and technology
© EPLA, 2007
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