Label Visualization and Exploration in IR
This work addresses the need for better tools in information retrieval for researchers and practitioners, but it is incremental as it builds on existing visual analytics systems.
The authors tackled the problem of exploring and analyzing crowdsourced relevance assessment datasets by introducing RAVE, a prototype that automates the generation of an interface using facets and visualization techniques.
There is a renaissance in visual analytics systems for data analysis and sharing, in particular, in the current wave of big data applications. We introduce RAVE, a prototype that automates the generation of an interface that uses facets and visualization techniques for exploring and analyzing relevance assessments data sets collected via crowdsourcing. We present a technical description of the main components and demonstrate its use.