摘要
信息获取已成为药商经营活动的重要组成部分和市场判断依据,网络大量非结构化、半结构化信息的出现为药商个性化服务提供了技术空间和实证依据.文章通过对个性化服务中文本挖掘的关键技术进行设计,并应用了中药材信息网站文本挖掘流程,把文本挖掘技术应用于中药材信息网站的用户兴趣获取实例中,实现用户兴趣的自动获取功能.
The information attainment has become the important component of the druggist＇s business operation and the market judgment basis. The appearance of the largely unstructured and semi-structured network has provided the technology space and the demonstration basis for the druggist＇s individual service. Through the critical technology of the text mining in individual service,the paper,combining the Traditional Chinese Medicinal Materials information website,has actually applied the text mining process, and applies the text mining technology to the example of the user＇s interest attainment about the Traditional Chinese Medicinal Materials information website.
出处
《邵阳学院学报（自然科学版）》
2014年第3期20-26,共7页
Journal of Shaoyang University：Natural Science Edition
基金
安徽省高校优秀青年人才基金项目(2012SQRL248)
安徽省教育厅质量工程教学研究项目(2012jyxm710)
关键词
信息获取
药商
文本挖掘
用户兴趣获取
information attainment
the druggist
the text mining
the user＆#39
s interest attainment
