AN APPLICATION OF MACHINE LEARNING FOR INTERNET USERS

机译：互联网用户机器学习的应用

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This paper presents new trends in machine learning. It contains a short survey of classic methods of machine learning. Meta-learning, Boosting and Bagging are characterized in the paper as well. The paper focuses on solving the problem of Internet users' cognitive load decrease based on machine learning methods. It presents the AWS system designed to suggest Internet pages to a user on the base of his/her model. The system also offers information about visitor models for the purpose of the server content management. The AWS system is an advisory system with off-line learning capabilities, individual adaptation, and the support of global server content adaptation.

机译：本文提出了机器学习的新趋势。它包含对经典机器学习方法的简短概述。本文还介绍了元学习，提升和装袋。本文重点研究基于机器学习方法的互联网用户认知负荷降低问题。它介绍了旨在根据用户模型向用户建议Internet页面的AWS系统。该系统还提供有关访问者模型的信息，以用于服务器内容管理。 AWS系统是具有离线学习功能，个性化适应以及对全局服务器内容适应性支持的咨询系统。

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《IFIP 159; IFIP TC 5 / WG 5.5 IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing And Services; 20040927-29; Vienna(AT)》|2004年|P.459-466|共8页
会议地点 Vienna(AT)
作者
Machova Kristina;
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作者单位

Technical University of Kosice, Department of Cybernetics and Artificial Intelligence SLOVAKIA;

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原文格式 PDF
正文语种 eng
中图分类系统科学;
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AN APPLICATION OF MACHINE LEARNING FOR INTERNET USERS

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