文献类型：期刊文献

中文题名：元搜索中成员搜索引擎的选择问题研究

英文题名：Research on Member Search Engine Selection in Meta Search

作者：刘登洪[1];徐贤[1]

机构：[1]华东理工大学计算机科学与工程系,上海200237

年份：2017

卷号：44

期号：10

起止页码：234

中文期刊名：计算机科学

外文期刊名：Computer Science

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD_E2017_2018】；

语种：中文

中文关键词：元搜索;查询;引擎选择

外文关键词：Meta search,Query,Engine s e le c t io n

摘要：随着网络的普及,网上检索成为了人们获取信息的主要方式。目前的搜索引擎相对独立,覆盖范围比较有限。相比之下,元搜索能够更好地满足用户的检索需求。当用户在元搜索提供的统一界面中输入一个查询时,元搜索会将处理后的用户请求发送给相关的成员搜索引擎。但是一个重要的问题是如何识别出潜在的搜索引擎以便更好地处理用户的请求。鉴于此提出了一种基于遗传算法的选择机制,该方法将各个成员搜索引擎的权重考虑在内。实验结果表明,该方法确实能够提高引擎选择中的效率和精度。
With the popularity of network,searching online becomes the main way to get information.Compared to independent search engine usually with limited coverage,meta search engine can meet the needs of information retrieval in a better way.When a query is input in the unified interface provided by meta search,it first processes the query and then sends it to appropriate member search engines.An important problem is how to find the underlying search engines which can optimally reply to the user query.In this paper,we proposed a mechanism based on genetic algorithm,which also takes the weight of each member search engine into account.The experimental results show that our method can indeed improve efficiency and accuracy on engine selection.