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An Intelligent Agent for Supporting User Navigation in a Hyperspace

机译:用于支持超空间中用户导航的智能代理

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In this paper we describe an approach for adaptive hypermedia navigation, based on th use of an intelligent agent which tries to automatically infer user learning goals during the navigation. Our proposal takes inspiration from Case-Based Reasoning. The indexing problem, critical in any Case-Based Reasoner, has been solved by transforming that problem to a pattern recognition problem, and by using an artificial neural network, well suited for the task of pattern recognition.
机译:在本文中,我们描述了一种适应性超媒体导航的方法,基于使用智能代理,这在导航期间尝试自动推断用户学习目标。 我们的提案从基于案例的推理中获取灵感。 通过将该问题转换为模式识别问题,并通过使用人工神经网络,非常适合于模式识别的任务来解决索引问题。

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