摘要
本文以开源的Lucene全文检索工具为基础,设计了一个考试信息类的垂直搜索引擎.并对Lucene工具包中的检索模块做了改进,增加了网页重要性因素,主题相关度因素和用户兴趣因素.实验结果表明改进的检索算法能较大的提高系统的搜索效率,提高了用户体验.
A vertical multiple search engine based on open-source Lucene fulltext retrieval tools is designed for exam information.And the retrieval module of lucene toolkit is improved by adding factor of importance of web,relevance of theme and interest of users.Experimental result shows the improved retrieval algorithm can greatly increase searching efficiency and improve users' experience.
出处
《邵阳学院学报(自然科学版)》
2011年第3期30-32,共3页
Journal of Shaoyang University:Natural Science Edition
基金
邵阳市科技计划项目(NO:G1024)