摘要
本文针对当前股票资讯服务中存在的实时性差、个性化缺乏和准确性不足等问题,设计并实现了一个基于资讯价值的股票资讯移动订阅系统。系统应用开源的Lucene和Weblech工具进行垂直搜索获取资讯,根据经济学知识构建个性化股票本体,通过查询扩展、本体匹配生成个性化的RSS种子,依据资讯价值进行排序,在移动端使用KXML进行解析,实现了资讯订阅。实验结果证明,本系统提供的股票资讯服务是有效的。
This paper designs and implements an information value-based mobile subscription system for stock information ,which specifics tothe problems existing in the current stock information services ,such as poor real-timeliness,insufficient accuracy and lack of personalization. The system,which uses vertical search to obtain information based on the open source tools. Lucene and Weblech,builds personalized stock ontology based on economic knowledge,and generates personalized RSS seeds through query expansion and ontology matching. The information is ranked by value,and the system also utilizes KXML to parse newsfeed to implement information subscription at the mobile terminal. The experimental results show that the stock information service provided by the system is effective.
出处
《广西师范大学学报(自然科学版)》
CAS
北大核心
2010年第3期204-208,共5页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家863高科技计划资助项目(2006AA01Z151)
国家自然科学基金资助项目(60673039
60973068)
教育部留学回国人员科研启动基金
高等学校博士学科点专项科研基金资助课题(20090041110002)
关键词
价值
移动订阅
本体
个性化
股票
value
mobile subscription
ontology
personalization
stock