计算机工程2017，Vol.43Issue(5)：179-184,6.DOI:10.3969/j.issn.1000-3428.2017.05.029
微博环境下基于用户行为与主题相似度的改进PageRank算法
Improved PageRank Algorithm Based on User Behavior and Topic Similarity in Microblog Environment
摘要
Abstract
Aiming at the theme drifting and the page weight splitting of traditional PageRank algorithm,an improved PageRank algorithm is proposed.In order to improve the user query efficiency and search quality,combined with the time feedback factor,it makes a comprehensive analysis on user forwarding,user comments and micro-blog mentions.Statistical analysis is used to measure the contribution of user behavior in the ranking of micro-blog user influence.By using the improved TF-IDF algorithm to calculate the similarity weight of the topic,the user can select the Web page with high relevance to obtain the corresponding PageRank weight.Experimental results show that compared with common microblog ranking algorithms,the improved PageRank algorithm has better user influence ranking effect.关键词
PageRank算法/相似度权值/时间反馈因子/用户行为/随机游走模型Key words
PageRank algorithm/similarity weight/time feedback factor/user behavior/random walk model分类
信息技术与安全科学引用本文复制引用
朱颢东,丁温雪,杨立志,冯嘉美..微博环境下基于用户行为与主题相似度的改进PageRank算法[J].计算机工程,2017,43(5):179-184,6.基金项目
河南省科技计划项目(152102210149,152102210357) （152102210149,152102210357）
河南省高等学校青年骨干教师资助计划项目(2014GGJS-084) （2014GGJS-084）
河南省高等学校重点科研项目(16A520030) （16A520030）
郑州轻工业学院校级青年骨干教师培养对象资助计划项目(XGGJS02) （XGGJS02）
郑州轻工业学院博士科研基金(2010BSJJ038). （2010BSJJ038）
