Using Micro-Visualisations to Support Faceted Filtering of Recommender Results

Faceted search is a well known and broadly implemented paradigm for filtering information with various types of structured information. In this paper we introduce a multiple-view faceted interface, consisting of one main visualisation for exploring the data and multiple miniaturised visualisations showing the filters. The Recommendation Dashboard tool provides several interactive visualisations for analysing recommender results along various faceted dimensions specific to cultural heritage and scientific content. As our aim is to reduce the user load and optimise the use of screen area, we permit only one main visualisation to be visible at a time, and introduce the concept of micro-visualisations -- small, simplified views conveying only the necessary information -- to provide natural, easy to understand representation of the the active filter set.