NDLI: Directing exploratory search with interactive intent modeling

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Scholarly big data: information extraction and data mining

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Directing exploratory search with interactive intent modeling

Content Provider	ACM Digital Library
Author	Athukorala, Kumaripaba Kosunen, Ilkka Głowacka, Dorota Myllymäki, Petri Peltonen, Jaakko Jacucci, Giulio Ruotsalo, Tuukka Reijonen, Aki Konyushkova, Ksenia Eugster, Manuel Kaski, Samuel
Abstract	We introduce interactive intent modeling, where the user directs exploratory search by providing feedback for estimates of search intents. The estimated intents are visualized for interaction on an Intent Radar, a novel visual interface that organizes intents onto a radial layout where relevant intents are close to the center of the visualization and similar intents have similar angles. The user can give feedback on the visualized intents, from which the system learns and visualizes improved intent estimates. We systematically evaluated the effect of the interactive intent modeling in a mixed-method task-based information seeking setting with 30 users, where we compared two interface variants for interactive intent modeling, namely intent radar and a simpler list-based interface, to a conventional search system. The results show that interactive intent modeling significantly improves users' task performance and the quality of retrieved information.
Starting Page	1759
Ending Page	1764
Page Count	6
File Format	PDF
ISBN	9781450322638
DOI	10.1145/2505515.2505644
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Search user interfaces Intent modeling Exploratory search
Content Type	Text
Resource Type	Article

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