摘要
文章旨在从海量信息中对有用信息获取,将用户需求满足,设计了一种基于Web的电子产品信息分布式检索系统。通过结合Hadoop以及Lucene技术模型,对Web电子产品信息进行检索,结合分布式索引文件的存储过程,并应用Lucene检索技术将引文件中的访问实现,并将信息检索效率提高。在Lucene_Hadoop架构分析过程,结合粗粒度检索问题,将细粒度检索方法提出,并将系统建立索引的时间有效减少。实验结果表明,基于Web电子产品信息应用Hadoop以及Lucene分布式检索系统。
This paper aims to obtain the useful information from the vast amount of information, and to meet the needs of users, and design a distributed information retrieval system based on Web. By combining Hadoop and Lucene technology model, the Web electronic product information is retrieved, and the storage process of the distributed index file is combined with the Lucene search technology, and the information retrieval efficiency is improved. In the process of Lucene_Hadoop architecture analysis, the paper proposes the method of fine granularity retrieval, and reduces the time of system establishment. The experimental results show that the Hadoop and Lucene distributed retrieval system based on the Web electronic product information, the compression performance is better.
出处
《电子设计工程》
2016年第21期82-84,91,共4页
Electronic Design Engineering
关键词
Web电子产品信息
分布式检索系统
设计
实现
Web electronic product information
distributed retrieval system
design
implementation
