An improved vector space model to retrieval systems for content matching in agricultural information

Ru-peng Luan, Qian Zhang, Junfeng Zhang, Feng Yu, TianGang Lu
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Abstract

Retrieval Systems have been developed in variety of domains, but due to information overload and its varieties in agriculture website, it is difficult to draw out the relevant information. Therefore, retrieval systems play an important role in filtering and customizing the desired information. Through the revision of specialized characteristic word weight and the revision of inquiry characteristic word weight, an improved vector space model (VSM) of retrieval systems in agricultural information field was proposed, which improved information retrieval performance both in precision and recall rates.
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面向农业信息内容匹配检索系统的改进向量空间模型
检索系统已经在各个领域得到了发展,但由于农业网站信息过载及其多样性,很难提取出相关信息。因此,检索系统在过滤和定制所需信息方面起着重要作用。通过对专业特征词权值的修正和查询特征词权值的修正,提出了一种改进的农业信息检索系统向量空间模型(VSM),提高了信息检索的准确率和查全率。
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