混合系统分析用户行为

Valérian Guivarch, J. F. D. Paz, Gabriel Villarrubia, J. Bajo, A. Péninou, Valérie Camps
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引用次数: 2

摘要

环境智能系统的进化为适应性系统的发展提供了条件。这些系统以自动的方式跟踪用户的习惯并采取相应的行动,从而形成上下文感知系统。目标是使这些系统适应用户的环境,而不需要它们直接交互。本文提出了一个可以从用户行为中学习的系统。为了使系统有效地执行,提出了一种自适应多智能体系统,并与使用几种分类器的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid system to analyze user's behaviour
The evolution of ambient intelligence systems has allowed for the development of adaptable systems. These systems trace user's habits in an automatic way and act accordingly, resulting in a context aware system. The goal is to make these systems adaptable to the user's environment, without the need for their direct interaction. This paper proposes a system that can learn from users' behavior. In order for the system to perform effectively, an adaptable multi agent system is proposed and the results are compared with the use of several classifiers.
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