1 research outputs found
Envisioning User Models for Adaptive Visualization
Adaptive search systems apply user models to provide better
separation of relevant and non-relevant documents in a list of
results. This paper presents our attempt to leverage this ability of
user models in the context of visual information exploration. We
developed an adaptive visualization approach for presentation and
exploration of search results. We simulated a visual intelligence
search/analysis scenario with log data extracted from an adaptive
information foraging study and were able to verify that our
method could improve the ability of traditional relevance
visualization to separate relevant and irrelevant information