Abstract This paper proposes a flexible software architecture for interactive multiobjective optimization, with a user interface for visualizing the results and facilitating the s...
This study examines the facets and patterns of multiple Web query reformulations with a focus on reformulation sequences. Based on IR interaction models, it was presumed that quer...
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
We present results of the INEX 2009 Interactive Track which focussed on how users behave in interactive search systems. Three types of working tasks based on a collection of book m...
Thomas Beckers, Norbert Fuhr, Nils Pharo, Ragnar N...