论文标题
投影：混合定位研究过程
Projection: A Mixed-Initiative Research Process
论文作者
论文摘要
人类和机器之间密集信息的通信相对较低。许多现代搜索和推荐系统作为机器学习黑匣子的运行，几乎没有见解它们如何表示信息或为什么采取某些操作。我们提出预测，这是一种混合定量界面，旨在在整个研究过程中增加人与机器之间的通信带宽。该接口支持将上下文添加到搜索中，并通过层次聚类和空间投影等技术在多个维度中可视化信息。潜在客户对应用程序的兴趣集成了他们的研究概述和搜索过程，使他们能够在层次结构中构建搜索，并帮助他们可视化相关的知识空间。
Communication of dense information between humans and machines is relatively low bandwidth. Many modern search and recommender systems operate as machine learning black boxes, giving little insight as to how they represent information or why they take certain actions. We present Projection, a mixed-initiative interface that aims to increase the bandwidth of communication between humans and machines throughout the research process. The interface supports adding context to searches and visualizing information in multiple dimensions with techniques such as hierarchical clustering and spatial projections. Potential customers have shown interest in the application integrating their research outlining and search processes, enabling them to structure their searches in hierarchies, and helping them visualize related spaces of knowledge.
