With the exponential growth of the Wold Wide Web ,there is also a growing demand in intelligent Web browser(IWB),which can provide users with personal services like guiding users while searching the Web,filtering the ...With the exponential growth of the Wold Wide Web ,there is also a growing demand in intelligent Web browser(IWB),which can provide users with personal services like guiding users while searching the Web,filtering the information that users aren't interested in,notifying users when there are valuable changes in the Web sites or pages that users care,and so on. In this paper,we introduce some former researches ,present the architecture of the IWB,describe its main functions ,and discuss key techniques in the resarch of IWB.展开更多
为提高基于Agent的信息检索系统在海量的网络信息检索中查询准确率,提出了基于多兴趣Agent层次结构的检索系统模型(IRHOMIA,information retrieval system based on hierarchically organizedofmulti-interest Agent),模型对查询信息进...为提高基于Agent的信息检索系统在海量的网络信息检索中查询准确率,提出了基于多兴趣Agent层次结构的检索系统模型(IRHOMIA,information retrieval system based on hierarchically organizedofmulti-interest Agent),模型对查询信息进行了兴趣预测并生成了用户兴趣项权重向量,输入到训练过的神经网络并把输出层生成向量中的每个值与给定的阈值进行比较来确定将查询任务分配给其他兴趣Agent或者是拥有相应资源的查询工具。试验表明,IRHOMIA在预测用户兴趣的效果和推荐搜索信息的准确率方面比传统的检索系统以及单兴趣Agent检索系统IRHOIA有5%以上的提高。展开更多
文摘With the exponential growth of the Wold Wide Web ,there is also a growing demand in intelligent Web browser(IWB),which can provide users with personal services like guiding users while searching the Web,filtering the information that users aren't interested in,notifying users when there are valuable changes in the Web sites or pages that users care,and so on. In this paper,we introduce some former researches ,present the architecture of the IWB,describe its main functions ,and discuss key techniques in the resarch of IWB.
文摘为提高基于Agent的信息检索系统在海量的网络信息检索中查询准确率,提出了基于多兴趣Agent层次结构的检索系统模型(IRHOMIA,information retrieval system based on hierarchically organizedofmulti-interest Agent),模型对查询信息进行了兴趣预测并生成了用户兴趣项权重向量,输入到训练过的神经网络并把输出层生成向量中的每个值与给定的阈值进行比较来确定将查询任务分配给其他兴趣Agent或者是拥有相应资源的查询工具。试验表明,IRHOMIA在预测用户兴趣的效果和推荐搜索信息的准确率方面比传统的检索系统以及单兴趣Agent检索系统IRHOIA有5%以上的提高。
