情报杂志Issue(9)：185-189,184,6.
基于三部图的随机游走知识推送方法研究*
Study on Knowledge Push Method Based on Tripartite Graphs Random Walk with Restart
摘要
Abstract
This paper proposes a random walk knowledge push method based on tripartite graphs, to solve the problem of data sparsity in traditional knowledge push method. This method builds a 'user-project-tag' tripartite graphs, and generates users' initial values of projects and tags, then uses random walk algorithm in the project space and tag space to generate several projects pending to be pushed, and refre-shes the values, finally pushes them to users. The experimental results shows, this method can improve the accuracy of knowledge push ef-fectively to satisfy users' demands.关键词
数据稀疏性/知识推送/三部图/随机游走Key words
data sparsity/knowledge push/tripartite graphs/random walk with restart分类
管理科学引用本文复制引用
王道平,周丹云,李秀雅..基于三部图的随机游走知识推送方法研究*[J].情报杂志,2013,(9):185-189,184,6.基金项目
国家自然科学基金资助项目“敏捷供应链知识服务网络研究”(编号:71172169)。 （编号:71172169）
