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.

分类号:

  • 相关文献
作者其他论文 更多>>