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
出处
《微电子学与计算机》
CSCD
北大核心
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)
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
recency sensitive information
recency sensitive information searching
recency information temporalfeature
recency sorting model
