基于多智能体系统的网络信息采集协同方法

Y. Drias, G. Pasi
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引用次数: 1

摘要

本文认为信息觅食任务(Information Foraging, IF)是解决探索性搜索问题的一个有用范例。在信息搜索的背景下,引入并形式化了网络导航策略,提出了基于多智能体的信息搜索模型。在此基础上开发了一个系统,并对ACM和DBLP存储库进行了评估。考虑了两个不同大小的数据集,以显示所开发系统的有效性和效率。此外,为了将我们的方法与经典的信息获取方法进行比较评估。结果表明,所提出的Web信息觅食系统能够在很短的时间内找到相关的网页。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A collaborative approach to web information foraging based on multi-agent systems
In this paper the task of Information Foraging (IF) is considered as a useful paradigm to address Exploratory Search. In the context of IF, a Web navigation strategy is introduced and formalized, and a multi-agent based model is proposed to exploit a collaborative approach to Information Foraging. A system based on this model has been developed, and its evaluations on the ACM and DBLP repositories are reported. Two datasets with different sizes were considered to show the effectiveness and the efficiency of the developed system. Furthermore, comparative evaluations were conducted in order to compare our approach with classical information access approaches. The results are promising and show the ability of the proposed Web Information Foraging system to find relevant Web pages in a very short time.
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