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Exploring an opinion network for taste prediction: An empirical study

Marcel Blattner, Yi-Cheng Zhang and Sergei Maslov

Physica A: Statistical Mechanics and its Applications, 2007, vol. 373, issue C, 753-758

Abstract: 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.

Keywords: Opinion network; Recommender systems; Taste prediction (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:373:y:2007:i:c:p:753-758

DOI: 10.1016/j.physa.2006.04.121

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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