Exploring an opinion network for taste prediction: an empirical study
- Blattner, Marcel Department of Physics, University of Fribourg, Fribourg, Switzerland
- Zhang, Yi-Cheng Department of Physics, University of Fribourg, Fribourg, Switzerland
- Maslov, Sergei Brookhaven National Laboratory, Department of Physics, Upton, USA
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23.06.2006
Published in:
- Physica A: Statistical and Theoretical Physics. - 2007, vol. 373, no. 1, p. 753-758
English
We develop a simple statistical method to find affinity relations in a large opinion network which is represented by a very sparse matrix. These relations allow us to predict missing matrix elements. We test our method on the Eachmovie data of thousands of movies and viewers. We found that significant prediction precision can be achieved and it is rather stable. There is an intrinsic limit to further improve the prediction precision by collecting more data, implying perfect prediction can never obtain via statistical means.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Physique
- Language
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- English
- Classification
- Physics
- License
- License undefined
- Identifiers
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- RERO DOC 7389
- DOI 10.1016/j.physa.2006.04.121
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300260
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