Proactive Information Retrieval by Capturing Search Intent from Primary Task Context

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Pysyväisosoite

http://hdl.handle.net/10138/307593

Lähdeviite

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

Julkaisun nimi: Proactive Information Retrieval by Capturing Search Intent from Primary Task Context
Tekijä: Koskela, Markus; Luukkonen, Petri; Ruotsalo, Tuukka; Sjöberg, Mats; Floréen, Patrik
Muu tekijä: University of Helsinki, Department of Computer Science
University of Helsinki, Helsinki Institute for Information Technology
University of Helsinki, Helsinki Institute for Information Technology
University of Helsinki, Helsinki Institute for Information Technology
University of Helsinki, Department of Computer Science
Päiväys: 2018-08
Kieli: eng
Sivumäärä: 25
Kuuluu julkaisusarjaan: ACM Transactions on Interactive Intelligent Systems (TiiS)
ISSN: 2160-6455
URI: http://hdl.handle.net/10138/307593
Tiivistelmä: 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.
Avainsanat: 113 Computer and information sciences
Task-based information retrieval
proactive search
user intent modeling
SEEKING
SYSTEM
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