自适应网络高质量信息可获取性研究

Adaptive Network High Quality Information Accessibility Study

自适应是个性化信息服务未来的发展趋势。自适应网络高质量信息的获取是个性化信息服务实现的基础,能使自适应信息服务成为可能。基于此,提出自适应网络高质量信息可获取性研究,识别并提取网络资源底层的HTML信息,构建点要素三角网抓取信息特征,完成高质量信息的处理与深度获取。实验证明,笔者提出的自适应网络高质量信息获取方法的信息获取误差远低于传统方法,有利于大面积获取高质量信息数据,信息获准率较高。

Self-adaptation is the development trend of personalized information service in the future.The acquisition of highquality information in adaptive network is the basis of the realization of personalized information service,which makes adaptive information service possible.Based on this,the research of high-quality information accessibility in adaptive network is proposed,which identifies and extracts HTML information at the bottom of network resources,constructs point element triangulation network to capture information characteristics,and completes high-quality information processing and deep acquisition.Experiments show that the information acquisition error of the self-adaptive network high-quality information acquisition method proposed by the author is far lower than that of the traditional method,which is conducive to large-scale acquisition of high-quality information data,and the information acquisition rate is higher.