Proactive Information Retrieval by Capturing Search Intent from Primary Task Context

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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, Helsinki Institute for Information Technology en
dc.contributor University of Helsinki, Helsinki Institute for Information Technology en
dc.contributor University of Helsinki, Department of Computer Science en
dc.contributor.author Koskela, Markus
dc.contributor.author Luukkonen, Petri
dc.contributor.author Ruotsalo, Tuukka
dc.contributor.author Sjöberg, Mats
dc.contributor.author Floréen, Patrik
dc.date.accessioned 2019-11-28T11:14:01Z
dc.date.available 2019-11-28T11:14:01Z
dc.date.issued 2018-08
dc.identifier.citation Koskela , M , Luukkonen , P , Ruotsalo , T , Sjöberg , M & Floréen , P 2018 , ' Proactive Information Retrieval by Capturing Search Intent from Primary Task Context ' , ACM Transactions on Interactive Intelligent Systems (TiiS) , vol. 8 , no. 3 , 20 . https://doi.org/10.1145/3150975 en
dc.identifier.issn 2160-6455
dc.identifier.other PURE: 115349559
dc.identifier.other PURE UUID: c5f8c4c6-2e44-4353-9212-264085de2256
dc.identifier.other Scopus: 85053398921
dc.identifier.other ORCID: /0000-0001-7347-0685/work/49160089
dc.identifier.other WOS: 000444817400004
dc.identifier.uri http://hdl.handle.net/10138/307593
dc.description.abstract A significant fraction of information searches are motivated by the user's primary task. An ideal search engine would be able to use information captured from the primary task to proactively retrieve useful information. Previous work has shown that many information retrieval activities depend on the primary task in which the retrieved information is to be used, but fairly little research has been focusing on methods that automatically learn the informational intents from the primary task context. We study how the implicit primary task context can be used to model the user's search intent and to proactively retrieve relevant and useful information. Data comprising of logs from a user study, in which users are writing an essay, demonstrate that users' search intents can be captured from the task and relevant and useful information can be proactively retrieved. Data from simulations with several datasets of different complexity show that the proposed approach of using primary task context generalizes to a variety of data. Our findings have implications for the design of proactive search systems that can infer users' search intent implicitly by monitoring users' primary task activities. en
dc.format.extent 25
dc.language.iso eng
dc.relation.ispartof ACM Transactions on Interactive Intelligent Systems (TiiS)
dc.rights en
dc.subject 113 Computer and information sciences en
dc.subject Task-based information retrieval en
dc.subject proactive search en
dc.subject user intent modeling en
dc.subject SEEKING en
dc.subject SYSTEM en
dc.title Proactive Information Retrieval by Capturing Search Intent from Primary Task Context en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1145/3150975
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/acceptedVersion
dc.contributor.pbl
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