A Study on Individualized Intelligent Web Search Based on Neural Networks Funded Program: Science and Technology Projects of Guangdong Province(2009B010800042)

摘要：

In view of defects of the web search engine in users individualization and declining rate of effective search, the author proposes and develops a neural networks-based intelligent search model, which is aimed at pre-processing users behavioural information, mining valuable messages for users with neural networks and building knowledge base so as to bring a new search into being. Statistics show that this model has good overall performance.

关键词： neural networks web intelligent search

作者: Bai Chenming NiuYi Wang Haoliang Yang Yongcong

作者单位: Department of Computer and Information Science City College of Dongguan University of Technology Don Electromechanical Division LiuChuan Electric Pumping Engineering Administration Bureau Baiyin, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 321-324

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）