探索味觉预测的意见网络：一项实证研究
Exploring an opinion network for taste prediction: an empirical study
摘要：
我们开发了一个简单的统计方法来找到一个大型的意见网络，这是一个非常稀疏的矩阵表示的亲和力关系。这些关系使我们能够预测丢失的矩阵元素。我们在数千部电影和观众的Eachmovie数据上测试了我们的方法。我们发现，显着的预测精度可以实现，它是相当稳定的。通过收集更多的数据来进一步提高预测精度存在固有的限制，这意味着通过统计手段永远无法获得完美的预测。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
