摘要
该文针对目前通用搜索引擎存在的不足,提出在建立普通倒排索引的基础上,再建立一个记录用户手动标注信息的综合倒排索引,并结合渠道奖励词频算法和文档关注度算法动态更新综合倒排索引,最后在Lucene环境下实现了一个体现用户个性的搜索引擎。
Aiming at the actual flaw of current search engine, the synthetically inverted index was built by the information which was marked by users based on building a traditional inversed index. Meanwhile, algorithms of statistical word frequency and channels and document attention algorithm were used to update the personalized synthetically inverted index. Finally, the paper designed a search engine according to users' personalization based on Lucene.
作者
林洁
LIN Jie (Hangzhou Normal University Qianjiang College, Hangzhou 310012, China)
出处
《电脑知识与技术》
2010年第2期932-934,共3页
Computer Knowledge and Technology
基金
杭州师范大学钱江学院科研基金项目(2009QJZR05).
关键词
综合倒排索引
词频
渠道
文档关注度
LUCENE
synthetically inversed index
word frequency
channel
document attention algorithm
lucene