An improved vector space model to retrieval systems for content matching in agricultural information
文献类型： 会议论文
第一作者： RuPeng Luan
作者： RuPeng Luan 1 ; Qian Zhang; JunFeng Zhang; Feng Yu;
作者机构： 1.Institute of Agricultural Scientech Information, Beijing Academy of Agriculture and Forestry Sciences, 100097, China|c|
关键词： VSM;agricultural information service;question-answer system
会议名称： International Conference on Fuzzy Systems and Knowledge Discovery
主办单位：
页码： 476-480
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.
分类号： tp273.4
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[1]An Improved Vector Space Model to Retrieval Systems for Content Matching in Agricultural Information. Luan, RuPeng,Zhang, Qian,Zhang, JunFeng,Yu, Feng,Lu, TianGang. 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
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