一种基于舆情敏感新信息的发现和搜索方法  

A Method of Discovering and Searching Sensitive Recency Information Based on Public Opinion

作　　者：王文[1,2] 王树锋[1,2] 朱锡芳[1] 

机构地区：[1]常州工学院,江苏常州213002 [2]常州市软件技术与应用重点实验室,江苏常州213002

出　　处：《微电子学与计算机》2013年第12期113-116,共4页Microelectronics & Computer

基　　金：江苏省教育厅自然科学基础研究基金(1KJD520001);常州市应用基础计划研究项目(CJ20120009)

摘　　要：提出了一种基于舆情的敏感新信息搜索方法,通过对一定时间、区间内查询文档增长数据的监控,判断哪些信息属于敏感新信息,并利用新信息的多个时间特征,结合传统搜索引擎下根据检索条件得到的检索结果,实现包含新信息数据的敏感新信息排序模型,解决了新信息数据不足的问题.实验表明,该模型既保证常规信息的相关性又很好地实现了对新信息排序.The recency sensitive information search refers to the procedure of ranking Web document by considering the information time as the correlation index, sorting new information in the large-scale Web search is a very difficult problem. A method of search sensitive recency information is proposed. By monitoring the query document growth over a period of time, the sensitive information is determined. Combined multiple time feature of sensitive information with the retrieval results obtained by traditional search engine, the new sort model using new information data is achieve and solves the problem of insufficient information data. Experiments show that the model ensure the correlation routine information and achieve a ~ood sort of now infnrmntinn

关 键 词：敏感新信息 敏感新信息搜索 新信息时间特征 新信息排序模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]