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An Improved Vector Space Model to Retrieval Systems for Content Matching in Agricultural Information

文献类型： 外文期刊

作者： Luan, RuPeng 1 ; Zhang, Qian 1 ; Zhang, JunFeng 1 ; Yu, Feng 1 ; Lu, TianGang 2 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Agr Scientech Informat, Beijing 100097, Peoples R China

2.Informat Ctr Beijing Municipal Bureau Agr, Beijing 100097, Peoples R China

关键词： VSM;agricultural information service;question-answer system

期刊名称：2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD)

ISSN：

年卷期： 2013 年

页码：

收录情况： SCI

摘要： 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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[1]An improved vector space model to retrieval systems for content matching in agricultural information. RuPeng Luan,Qian Zhang,JunFeng Zhang,Feng Yu. 2013

[2]Agricultural Information Service Quality Evaluation Algorithm Based on Genetic Algorithm, BP Neural Network and Multiple Regressions. Chen, Cheng,Wu, Huarui. 2013

[3]Agricultural Information Service Based on WeChat Platform in Beijing. Zhang, Qian,Yu, Feng,Fu, Rong,Liu, Xin,Zhang, Jun-feng. 2016

[4]Research on the Development and Preliminary Application of 12396 New Rural sci-Tech Service Hotline WeChat Public Platform. Li, Zhimei,Luo, Changshou,Zhang, Junfeng. 2015

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