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Research on multi-agents information retrieval system based on intelligent evolution

机译：基于智能进化的多主体信息检索系统研究

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摘要

In view of some problems existing in current information retrieval system, this paper puts forward a multi-agents information retrieval system based on intelligent evolution, which is divided into nine modules: user Agent, communication Agent, mining Agent, personal Agent, intelligence evolution Agent, information retrieval Agent, group Agent, intelligence evolution filtering Agent and clustering Agent. According to the user history query information, current retrieval information and feedback information, this system rectifies the judgment of the user preferences constantly, makes the returned query results can reflect the user demand more and more, that is: provides users with the more and more accurate query result. Experimental results show that the proposed method provides the more accurate query on the document than the existing intelligent retrieval systems, the average of query accuracy is 81.6%, and along with the using system by users, and with the system running continually, query accuracy will be higher, which reflects the effect of the intelligent evolution.
机译：针对当前信息检索系统中存在的一些问题，提出了一种基于智能进化的多智能体信息检索系统，该系统分为九个模块：用户智能体，通信智能体，挖掘智能体，个人智能体，智能智能体，信息检索Agent，组Agent，智能演化过滤Agent和集群Agent。该系统根据用户历史查询信息，当前检索信息和反馈信息，不断纠正用户偏好的判断，使返回的查询结果能够越来越反映用户需求，即：为用户提供越来越多的信息。准确的查询结果。实验结果表明，与现有的智能检索系统相比，该方法对文档的查询更为准确，平均查询准确率为81.6％，随着用户的使用系统的不断完善和系统的不断运行，查询准确率将大大提高。更高，这反映了智能进化的效果。

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