Interactive Intent Modeling for Exploratory Search

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dc.contributor University of Helsinki, Department of Computer Science en
dc.contributor University of Helsinki, Helsinki Institute for Information Technology en
dc.contributor University of Helsinki, Intelligent Interactive Information Access research group / Patrik Floréen en
dc.contributor University of Helsinki, Department of Computer Science en
dc.contributor University of Helsinki, Ubiquitous Interaction research group / Giulio Jacucci en
dc.contributor University of Helsinki, Aalto University en
dc.contributor.author Ruotsalo, Tuukka
dc.contributor.author Peltonen, Jaakko
dc.contributor.author Eugster, Manuel J.A.
dc.contributor.author Glowacka, Dorota
dc.contributor.author Floréen, Patrik
dc.contributor.author Myllymäki, Petri
dc.contributor.author Jacucci, Giulio
dc.contributor.author Kaski, Samuel
dc.date.accessioned 2020-01-02T08:19:02Z
dc.date.available 2020-01-02T08:19:02Z
dc.date.issued 2018-10
dc.identifier.citation Ruotsalo , T , Peltonen , J , Eugster , M J A , Glowacka , D , Floréen , P , Myllymäki , P , Jacucci , G & Kaski , S 2018 , ' Interactive Intent Modeling for Exploratory Search ' , ACM Transactions on Information Systems , vol. 36 , no. 4 , pp. 44:1-46 . https://doi.org/10.1145/3231593 en
dc.identifier.issn 1046-8188
dc.identifier.other PURE: 120654675
dc.identifier.other PURE UUID: 2fd32ab5-388f-4d39-8c37-da677ef798b7
dc.identifier.other ORCID: /0000-0001-7347-0685/work/53182983
dc.identifier.other ORCID: /0000-0001-9095-282X/work/53183546
dc.identifier.other Scopus: 85058345181
dc.identifier.other WOS: 000457900100010
dc.identifier.uri http://hdl.handle.net/10138/308883
dc.description.abstract Exploratory search requires the system to assist the user in comprehending the information space and expressing evolving search intents for iterative exploration and retrieval of information. We introduce interactive intent modeling, a technique that models a user’s evolving search intents and visualizes them as keywords for interaction. The user can provide feedback on the keywords, from which the system learns and visualizes an improved intent estimate and retrieves information. We report experiments comparing variants of a system implementing interactive intent modeling to a control system. Data comprising search logs, interaction logs, essay answers, and questionnaires indicate significant improvements in task performance, information retrieval performance over the session, information comprehension performance, and user experience. The improvements in retrieval effectiveness can be attributed to the intent modeling and the effect on users’ task performance, breadth of information comprehension, and user experience are shown to be dependent on a richer visualization. Our results demonstrate the utility of combining interactive modeling of search intentions with interactive visualization of the models that can benefit both directing the exploratory search process and making sense of the information space. Our findings can help design personalized systems that support exploratory information seeking and discovery of novel information. en
dc.format.extent 46
dc.language.iso eng
dc.relation.ispartof ACM Transactions on Information Systems
dc.rights en
dc.subject 113 Computer and information sciences en
dc.subject proactive search en
dc.subject user intent modeling en
dc.title Interactive Intent Modeling for Exploratory Search en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1145/3231593
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/acceptedVersion
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