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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。
By combining MetaSearch technology and distributed intelligent Agent technology, a 3-layer personalized information discovery system PIRS is realized. The system uses multi-agent collaboration technology, Meta-Search technology, relevant feedback learning algorithm, and combined with PageRank expectation inspired crawling algorithm, to achieve efficient personalized, active online information discovery. And because of the introduction of the 3-tier structure, it greatly improves the security, robustness and scalability of the system. Effectively solves the shortcomings of existing systems in terms of adaptive user interest and information source changes, efficient and parallel information discovery and the like.