摘要
用户在使用关键词搜索时,对于一些不熟悉的领域,无法给出准确的关键词.为了解决这个问题,该文在开源全文检索工具包Lucene的基础上,设计并实现了搜索关键词辅助系统,对用户的当前查询结果进行分词处理,利用TF-IDF算法计算关键词的权重,将权重较大的关键词返回给用户,然后用户从中选择期望的关键词,再次提交给搜索引擎进行搜索.
When searching using keywords,users are unable to give accurate keywords for some unfamiliar areas.To solve this problem,the author designed and implemented a support system based on Lucene which is an open source full-text search toolkit.Firstly,word segmentation on the users' current query results.Then,calculate weight of keywords by the method of TF-IDF.Keywords which have greater weight will return to users.Users submit the keywords which are desired to the search engine to search again.
出处
《南通纺织职业技术学院学报》
2011年第1期23-26,共4页
Journal of Nantong Textile Vocational Technology college