基于关联规则的微博主题搜索策略研究  

Study on the Micro-Blog Topic Retrieval System Based on Association Rules

作　　者：何跃[1] 王迪[1] 张丽丽[1] 

机构地区：[1]四川大学商学院,成都610064

出　　处：《情报杂志》2013年第6期131-136,共6页Journal of Intelligence

摘　　要：在Web2.0时代,微博已成为一个有重要价值的信息平台。为了利用微博平台为用户提供较好的搜索服务,论文应用关联规则挖掘技术识别微博相关话题,利用相关话题扩充机制和话题语义相似度度量,构建微博搜索索引文件。实验分析表明:相对于传统的关键词搜索策略,论文提出的搜索策略能从浩瀚的微博信息平台中找到更加有效的搜索结果。In the era of web2.0, micro-blog has become a valuable information platform. In order to provide better search service to users through micro-blog, this paper uses association rules mining technology to identify related topics on micro-blog and relevant topic expan- sion mechanism and topic semantic similarity metric to build micro-blog searching engines index file. Experimental analysis illustrates that： compared with traditional keyword searching strategy, the searching strategy raised by this paper is able to find more effective search- ing results from the vast micro-blog information platform

关 键 词：Web文本挖掘微博搜索 用户影响力 关联规则 潜在语义分析 

分 类 号：F061.5[经济管理—政治经济学]