Principal Component Analysis Method-Based Research on Agricultural Science and Technology Website Evaluation
文献类型： 外文期刊
第一作者： Ma, Jian
作者： Ma, Jian;Ma, Jian
作者机构：
关键词： Agricultural science and technology website;Principal component analysis method;Website evaluation
期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT II
ISSN： 1868-4238
年卷期： 2016 年 479 卷
页码：
收录情况： SCI
摘要： Agricultural science and technology website is a very important supporter of driving agricultural information and servicing agriculture. An evaluation method is proposed on agricultural science and technology website based on objective data and artificial ratings, using principal component analysis method. Finally the author used the model to evaluate 18 agricultural science and technology websites, and proposed some suggestions on development of agricultural science and technology websites based on the evaluation result which would act as reference to agricultural science and technology website construction.
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