Heat conduction process on community networks as a recommendation model
Heat conduction process on community networks as a recommendation model
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DOI：
10.1103/physrevlett.99.154301
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发表时间：
2007-10-12
影响因子：
8.6
通讯作者：
Yu, Yi-Kuo
中科院分区：
文献类型：
--
作者：
Zhang, Yi-Cheng;Blattner, Marcel;Yu, Yi-Kuo
利用社会网络上的热传导机制，我们开发了一种系统的方法来预测缺失值作为推荐。这种方法可以处理互联网社区中典型的非常大的矩阵。特别是，我们的方法具有创新的、精确的公式，可以适应任意的边界条件，很容易在实际应用中使用。通过与传统的基于真实数据的推荐方法进行比较，评估了该方法的性能。
Using heat conduction mechanism on a social network we develop a systematic method to predict missing values as recommendations. This method can treat very large matrices that are typical of internet communities. In particular, with an innovative, exact formulation that accommodates arbitrary boundary condition, our method is easy to use in real applications. The performance is assessed by comparing with traditional recommendation methods using real data.