Exploring an opinion network for taste prediction: An empirical study
Exploring an opinion network for taste prediction: An empirical study
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DOI：
10.1016/j.physa.2006.04.121
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发表时间：
2007-01-01
影响因子：
3.3
通讯作者：
Maslov, Sergei
中科院分区：
文献类型：
--
作者：
Blattner, Marcel;Zhang, Yi-Cheng;Maslov, Sergei
我们开发了一种简单的统计方法来查找由非常稀疏的矩阵表示的大型意见网络中的亲和关系。这些关系使我们能够预测缺失的矩阵元素。我们在数千部电影和观众的 Eachmovie 数据上测试我们的方法。我们发现可以达到显着的预测精度并且相当稳定。通过收集更多数据来进一步提高预测精度存在内在限制，这意味着通过统计手段永远无法获得完美的预测。 (c) 2006 Elsevier B.V. 保留所有权利。
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. (c) 2006 Elsevier B.V. All rights reserved.