Issue |
EPL
Volume 80, Number 6, December 2007
|
|
---|---|---|
Article Number | 68003 | |
Number of page(s) | 5 | |
Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
DOI | https://doi.org/10.1209/0295-5075/80/68003 | |
Published online | 13 November 2007 |
Recommendation model based on opinion diffusion
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
Corresponding author: matus.medo@unifr.ch
Received:
27
August
2007
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
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.