Supporting exploratory search through user modeling
Kumaripaba Athukorala, Antti Oulasvirta, Dorota Głowacka, Jilles Vreeken, Giulio Jacucci · 2014
Abstract. Exploratory search is becoming more common as the web is used more increasingly as a medium for learning and discovery. Com-pared to traditional known-item search, exploratory search is more chal-lenging and difficult to support because it initiates with poorly defined search goals, while the user knowledge and information-needs constantly change throughout the search process. Although information-retrieval al-gorithms have improved greatly in providing users with relevant informa-tion to specific queries, there is still room to improve our understanding of users ’ exploratory information-seeking strategies as well as design of systems supporting exploratory information-seeking. Modeling the user behavior and predicting dynamically changing information-needs in ex-ploratory search is hard. Over the past decade there has been increas-ing attention on rich user interfaces, retrieval techniques, and studies of exploratory search. However, existing work does not yet support the dynamic aspects of exploratory search. The aim of this research is to explore different aspects of how to understand and support exploratory search, including user studies, intent visualization and user modeling.