Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
978389 | Physica A: Statistical Mechanics and its Applications | 2007 | 6 Pages |
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
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Marcel Blattner, Yi-Cheng Zhang, Sergei Maslov,