Recommendation model based on opinion diffusion
Physics and Society
2007-11-15 v2 Computers and Society
Information Retrieval
Data Analysis, Statistics and Probability
Abstract
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.
Keywords
Cite
@article{arxiv.0710.2228,
title = {Recommendation model based on opinion diffusion},
author = {Yi-Cheng Zhang and Matus Medo and Jie Ren and Tao Zhou and Tao Li and Fan Yang},
journal= {arXiv preprint arXiv:0710.2228},
year = {2007}
}
Comments
5 pages, 2 figures