Heat Conduction Process on Community Networks as a Recommendation Model
Physics and Society
2008-03-17 v1
Abstract
Using heat conduction mechanism on a social network we develop a systematic method to predict missing values as recommendations. This method can treat very large matrices that are typical of internet communities. In particular, with an innovative, exact formulation that accommodates arbitrary boundary condition, our method is easy to use in real applications. The performance is assessed by comparing with traditional recommendation methods using real data.
Cite
@article{arxiv.0803.2179,
title = {Heat Conduction Process on Community Networks as a Recommendation Model},
author = {Yi-Cheng Zhang and Marcel Blattner and Yi-Kuo Yu},
journal= {arXiv preprint arXiv:0803.2179},
year = {2008}
}
Comments
4 pages, 2 figures