计算机工程与应用2016，Vol.52Issue(6)：55-60,6.DOI:10.3778/j.issn.1002-8331.1411-0338
引文作者主题演化模型在专家检索方面的应用
Citation-author-topic evolution model applied in expert retrieval
摘要
Abstract
Abstaract:Most current expert retrieval methods based on scientific literature get the expert information statically. Mean-while, the dynamic evolution of analytical methods are seldom applied in expert retrieval, with little regard of external information such as literature authors, citations authors. Based on this, Citations Author Topic over Time(CAToT)model is constructed on the basis of the CAT model and ToT model. And a Gibbs sampling method to estimate model parameters of CAToT is given, the same as the methods applied in the expert retrieval. The model which gathers the advantages of CAT model and ToT model can not only reveal the hidden topics and the related authors and citations, but also the rules of topics and expert ranking evolution change over time. Finally, the extensive experimental results from 1557 articles from ACL, CONLL, EMNLP conference papers indicate that AToT model is feasible and efficient through comparative analysis with the CAT model.关键词
专家检索/引文主题演化模型/吉布斯采样/科技文献Key words
experts retrieval/citation theme evolution model/Gibbs sampling/scientific literature分类
信息技术与安全科学引用本文复制引用
史庆伟,王军,郭鹏飞..引文作者主题演化模型在专家检索方面的应用[J].计算机工程与应用,2016,52(6):55-60,6.基金项目
辽宁省教育厅科学技术研究项目（No.L2014128）。 （）
