  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.
