现代电子技术Issue(6)：7-12,6.
基于事件关联网络的用户兴趣话题发现算法
Algorithm to find topics that users are interested based on network associated with events
乌吉斯古愣 1刘晓影 1鄢楚平1
作者信息
- 1. 中国电子科技集团公司 第十五研究所，北京 100083
- 折叠
摘要
Abstract
Being faced of massive Internet news information,to improve the accuracy of detecting the topics that the users are interested,a topic detection algorithm based on the network associated with the events is proposed for users’interest. The algorithm established an event⁃related network representative of relevance relationship among news events. The link analysis tech⁃nique is used to measure the degree of user interest in the news,so as to identify the topics that the users are interested by using an improved Single⁃pass clustering algorithm based on news specific semantic structure. In addition,Bootstrapping algo⁃rithm is adopted to achieve the related interest words’semantic extensions. The experiment result shows that the algorithm can more accurately and comprehensively get the topics that the users are interested.关键词
话题识别/链接分析/用户兴趣/Bootstrapping算法/关联网络Key words
topic recognition/link analysis/user interest/Bootstrapping algorithm/associated network分类
信息技术与安全科学引用本文复制引用
乌吉斯古愣,刘晓影,鄢楚平..基于事件关联网络的用户兴趣话题发现算法[J].现代电子技术,2015,(6):7-12,6.
