基于中文分词的农业信息检索平台设计

摘要

According to the fact that agricultural science and technology personnel and other agricultural information users lack information retrieval means, a Chinese word segmentation-based information retrieval platform is presented, in which a variety of agricultural information documents are dealt with in the form of inverted files and TF/IDF similarity score is used as a sort standard. The experimental application of Chinese word segmentation-based information retrieval system in the field of agricultural information achieves better results.%针对农业科技人员和其他农业信息用户面对海量异构农业信息文档缺乏高校检索方法的问题,提出基于中文分词的信息检索平台系统构架,以倒排文档方式来处理各种农业信息文档,采用TF/IDF相似度计算作为评分排序的标准,构建基于中文分词的信息检索系统应用于农业信息领域,取得较好效果.