计算机应用研究Issue(9)：2724-2728,5.DOI:10.3969/j.issn.1001-3695.2015.09.038
融合用户兴趣模型与会话抽取的微博推荐方法
Microblog recommendation method based on user interest model and conversation extraction scheme
摘要
Abstract
Aiming at the deficiency of conventional recommendation method in short text message processing,this paper pro-posed a microblog recommendation method based on user interest model and conversation extraction.First,it applied a Ncut_weighted non-negative matrix factorization (Ncut_weighted NMF)to obtain user-interest matrix.And then used Single-Pass clustering based on frequency and correlation for conversation extraction to obtain microblog conversation.Experiments show that this method can effectively cluster micro-blogs and support micro-blog recommendation.关键词
用户兴趣模型/会话抽取/归一化割/非负矩阵分解/微博推荐Key words
user interest model/conversation extraction/normalized cut/nonnegative matrix factorization/microblog recom-mendation分类
信息技术与安全科学引用本文复制引用
马慧芳,姚伟,贾美惠子,崔彤..融合用户兴趣模型与会话抽取的微博推荐方法[J].计算机应用研究,2015,(9):2724-2728,5.基金项目
国家自然科学基金资助项目（61163039，61363058）；甘肃省教育厅资助项目（2013A-016，2013B-007）；甘肃省青年科技基金计划项目（145RJYA259）；中国科学院计算技术研究所智能信息处理重点实验室开放基金资助项目 （）
