国防科技大学学报2017，Vol.39Issue(3)：77-84,8.DOI:10.11887/j.cn.201703013
日常交互中朋友关系强度度量方法
Measuring method for friend relationship strength in daily communication
摘要
Abstract
The FRSHV(friend relationship strength hierarchy vote),a hierarchical model,was proposed to measure the friend relationship strength by user's daily moving track,semantic positions and the corresponding semantic labels.The daily track similarity was measured by dynamic time warping model using the spatial distance between friends,and the results were then weighed by the entropy of track series.The similarities of friend's behavior patterns were inferred by latent Dirichlet allocation topic model,respectively using semantic positions and the corresponding semantic labels.Finally,these three similarity results were voted for the ultimate relationship strength.The FRSHV was evaluated by using an open dataset and the results proved the validity of the model in inferring friend's relationship strength.关键词
关系强度/轨迹相似度/动态时间校正/熵/潜狄利克雷分布/投票Key words
relationship strength/trajectory similarity/dynamic time warping/entropy/latent Dirichlet allocation/vote分类
信息技术与安全科学引用本文复制引用
史殿习,杨若松,莫晓赟,李寒,赵邦辉..日常交互中朋友关系强度度量方法[J].国防科技大学学报,2017,39(3):77-84,8.基金项目
国家自然科学基金资助项目(61202117,91118008) （61202117,91118008）
