Information retrieval model based on neural networks using neighborhood

L. Guezouli, Amine Kadache
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引用次数: 8

Abstract

The information plays an inevitable role in the handling systems of numerical data existing today. The amount of information handled by various organizations in the world today is high and its management without the computer is no longer imaginable. Information Retrieval (IR) is a research area in computer science whose goal is to facilitate access to a set of documents in electronic form (corpus) and allow a user to find the relevant ones for him, that is to say, those whose content best matches the information needs of the user. We propose in this paper a system called “Neuro-RI” putting into practice our model of information retrieval based on neural networks with neighborhood.
基于邻域的神经网络信息检索模型
这些信息在现有的数值数据处理系统中起着不可避免的作用。当今世界上各种组织处理的信息量很高,没有计算机的管理是无法想象的。信息检索(Information Retrieval, IR)是计算机科学中的一个研究领域,其目标是方便用户以电子形式(语料库)访问一组文档,并允许用户找到与他相关的文档,也就是说,那些内容最符合用户信息需求的文档。本文提出了一个基于神经网络邻域信息检索模型的“神经- ri”系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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