计算机与现代化Issue(3)：78-84,7.DOI:10.3969/j.issn.1006-2475.2016.03.016
异构信息网络的相似性度量方法
A Measurement of Similarity Search on Heterogeneous Information Networks
伍转华1
作者信息
- 1. 常州纺织服装职业技术学院机电工程系,江苏 常州 213164
- 折叠
摘要
Abstract
The emerging of large-scale interconnection networks such as social networks and bibliographic networks raised many challenges for similarity search, wherein the similarity measure is one of the key issues.The existing methods of similarity meas-ure did not consider the different semantic of multiple paths on homogeneous networks.This paper proposes a novel similarity measure method based on meta path, which can search the same type of objects on heterogeneous networks.Meta path is path consisting of a series of relationships defined in the different object types, which provides a common basis for the similarity search engines on the networks.Experiments on real data sets show that compared to the disorder similarity measures, the proposed method supports fast path similarity query, and it can be widely used in social networks and e-commerce.关键词
相似性搜索/社交网络/元路径/异构网络Key words
similarity search/social networks/meta path/heterogeneous network分类
计算机与自动化引用本文复制引用
伍转华..异构信息网络的相似性度量方法[J].计算机与现代化,2016,(3):78-84,7.
