基于语义数据存储的实验性自适应门户网站

Martin Balík, I. Jelínek
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引用次数: 2

摘要

如今,网络是一个广泛使用的信息来源。因此,如何提高信息检索的有效性是当前研究的重点。自适应web技术能够存储有关用户的信息,并根据用户偏好调整文档的内容。在我们的研究中,我们正在开发一个适应系统的通用模型。为了评估我们的理论结果,我们开发了一个自适应系统的原型,并进行了几次实验。在本文中,我们将描述原型系统架构的重要特征,与我们的自适应系统模型的关系,进行实验和对未来扩展的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Adaptive Web Portal with Semantic Data Store
Nowadays, the web is a widely used source of information. Therefore, current research is focusing on making the information retrieval more effective. Adaptive web technologies enable the storage of information about users and adapt the content of documents to user preferences. In our research, we are developing a general model of adaptive system. For evaluation of our theoretical results we have developed a prototype of an adaptive system and performed several experiments. In this paper we will describe important characteristics of the prototype system architecture, relations with our adaptive system model, performed experiments and proposals for future extensions.
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