Recommendation model based on opinion diffusionY.-C. Zhang1, 2, M. Medo1, J. Ren1, T. Zhou1, 3, T. Li2 and F. Yang2
1 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
received 27 August 2007; accepted in final form 15 October 2007; published December 2007
published online 13 November 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.
89.65.-s - Social and economic systems.
89.75.Hc - Networks and genealogical trees.
89.20.Ff - Computer science and technology.
© EPLA 2007