摘要
通过将Meta -Search技术与分布式智能Agent技术结合起来 ,实现了一个 3层结构的个性化信息发现系统PIRS。该系统采用多Agent协作技术 ,Meta -Search技术 ,相关反馈学习算法 ,以及结合PageRank的期望度启发爬行算法 ,实现了高效的个性化 ,主动式在线信息发现。并且由于 3层结构的引入 ,大大提高了系统的安全性、强壮性、可扩展性。有效地解决了现有系统在自适应用户兴趣及信息源变化 ,高效并行的信息发现等方面的不足。
A personalized information retrieval system of 3-tie layout is provided by combining the technology of Meta-Search and distributed intelligent Agent.With the technology of Multi-Agent Cooperation,Meta-Search,machine learning based on relevant feedback,and improved algorithm with PageRank for Agent crawl,the system implements efficient,personalized and initiative online information retrieval.Moreover,the security,robust and scalability of the system are highly improved by applying 3-tie layout.Compared with the systems,mentioned in the references,this system has the features of adjusting to shifting user’s interests and changing source adaptively,as well as in intelligently searching good results.
出处
《计算机应用与软件》
CSCD
北大核心
2003年第12期14-16,共3页
Computer Applications and Software
基金
江苏省应用基础计划资助项目(BG2 0 0 1 0 1 4 )