Phys. Rev. Lett. 99, 154301 (2007) [4 pages]Heat Conduction Process on Community Networks as a Recommendation ModelSee Also: Publisher's Note Received 3 May 2007; published 10 October 2007; publisher error corrected 11 October 2007 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. URL:
http://link.aps.org/doi/10.1103/PhysRevLett.99.154301
DOI:
10.1103/PhysRevLett.99.154301
PACS:
44.10.+i, 89.20.Hh, 89.70.+c
See AlsoPublisher's Note: Yi-Cheng Zhang, Marcel Blattner, and Yi-Kuo Yu, Publisher’s Note: Heat Conduction Process on Community Networks as a Recommendation Model [Phys. Rev. Lett. 99, 154301 (2007)], Phys. Rev. Lett. 99, 169902 (2007). |
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