摘要
针对传统RSS阅读器在实际应用中接收大量冗余信息的问题,提出一种智能化的RSS阅读器。该阅读器基于渔业科学数据平台,采用向量空间模型,运用中文分词、对象持久化等技术实现智能原理,设计实现了智能化RSS阅读器。实验证明:该阅读器的过滤有效性为86.2%,过滤准确性为82.4%,能够较好地过滤掉与用户不相关的信息。应用结果表明:渔业科学数据智能RSS阅读器的实现可使用户获得更精准的信息。
The traditional RSS reader receives a large amount of redundant information. The object of the study is to provide an intelligent reader to solve the problem. The paper proposes an intelligent RSS reader based on Fisheries Science Data Platform. The key intelligent techniques applied in the paper include VSM （Vector Space Model）, Chinese word segmentation and object persistence techniques. According to the RSS reader experiment, the effectiveness of filtering is 86.2% and the accuracy of filtering is 82.4%. The result proved that the reader can effectively filter out the irrelevant information. The results of application showed that, implementation intelligent RSS reader of fisheries science data allows users to obtain more accurate information.
出处
《中国农学通报》
CSCD
2013年第32期95-99,共5页
Chinese Agricultural Science Bulletin
基金
国家基础条件平台建设项目"渔业科学数据平台建设"(2007DKA31800-03)
关键词
RSS阅读器
智能化
渔业科学数据
向量空间模型
中文分词
对象持久化
RSS Reader
Intelligent technique
Fishery Scientific Data
Vector Space Model
Chinese WordSegmentation
object persistence
