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A multi-Agent Information Retrieval Systemfull text in English

机译:多代理信息检索系统英文全文

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This paper is a survey of the recent work in the field of information retrieval systems (e.g., web searchengines). Information retrieval systems are critical for overcoming information overload. A major deficiency ofexisting retrieval systems is that they generally lack user modeling and are not adaptive to individual users.According to the defect of current search engines, this paper presents a model of information retrieval systembased on multi-Agent, which can realize individuation and intelligence of information retrieval according touser interested knowledge via multi-Agent collaboration. When a user submits a query keyword to theinformation retrieval system, it can automatically locate the current user’s implicit search intention accordingto the current user’s interest profile. This paper gives a working principle of the model and discusses abstracttechnology of the model. Experimental results show that the multi-Agent information retrieval system canimprove search accuracy.
机译:本文是对信息检索系统(例如网络搜索引擎)领域最新工作的调查。信息检索系统对于克服信息过载至关重要。现有检索系统的一个主要缺陷是它们通常缺乏用户建模能力,无法适应单个用户。针对当前搜索引擎的缺陷,本文提出了一种基于多Agent的信息检索系统模型,该模型可以实现个性化和智能化。通过多Agent协作根据用户感兴趣的知识检索信息。当用户向信息检索系统提交查询关键字时,它可以根据当前用户的兴趣状况自动找到当前用户的隐式搜索意图。本文给出了该模型的工作原理,并讨论了该模型的抽象技术。实验结果表明,多Agent信息检索系统可以提高搜索精度。

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