Supporting Exploratory Search Through User Modeling

Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Exploratory search is becoming more common as the web is used more increasingly as a medium for learning and discovery. Compared to traditional known-item search, exploratory search is more challenging and dicult to support because it initiates with poorly dened search goals, while the user knowledge and information-needs constantly change throughout the search process. Although information-retrieval algorithms have improved greatly in providing users with relevant information to specic 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 exploratory search is hard. Over the past decade there has been increasing 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.
Original languageEnglish
Title of host publicationPosters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014.
Number of pages6
Publication statusPublished - 2014

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