Ru-peng Luan, Qian Zhang, Junfeng Zhang, Feng Yu, TianGang Lu
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An improved vector space model to retrieval systems for content matching in agricultural information
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.