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Can Concept-Based User Modeling Improve Adaptive Visualization?

机译：基于概念的用户建模可以改善自适应可视化吗？

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摘要

Adaptive visualization can present user-adaptive information in such a way as to help users to analyze complicated information spaces easily and intuitively. We presented an approach called Adaptive VIBE, which extended the traditional reference point-based visualization algorithm, so that it could adaptively visualize documents of interest. The adaptive visualization was implemented by separating the effects of user models and queries within the document space and we were able to show the potential of the proposed idea. However, adaptive visualization still remained in the simple bag-of-words realm. The keywords used to construct the user models were not effective enough to express the concepts that need to be included in the user models. In this study, we tried to improve the old-fashioned keyword-only user models by adopting more concept-rich named-entities. The evaluation results show the strengths and shortcomings of using named-entities as conceptual elements for visual user models and the potential to improve the effectiveness of personalized information access systems.
机译：自适应可视化可以以帮助用户轻松直观地分析复杂信息空间的方式呈现用户自适应信息。我们提出了一种称为“自适应VIBE”的方法，该方法扩展了传统的基于参考点的可视化算法，从而可以自适应地可视化感兴趣的文档。自适应可视化通过将用户模型和查询在文档空间内的影响分开来实现，我们能够展示出所提出想法的潜力。但是，自适应可视化仍然保留在简单的词袋领域中。用于构建用户模型的关键字不足以表达需要包含在用户模型中的概念。在这项研究中，我们试图通过采用更多概念丰富的命名实体来改进老式的仅关键字用户模型。评估结果显示了使用命名实体作为视觉用户模型的概念元素的优缺点，以及提高个性化信息访问系统有效性的潜力。

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