SciNet: Interactive Intent Modeling for Information Discovery

Tuukka Ruotsalo, Jaakko Peltonen, Manuel J.A. Eugster, Dorota Glowacka, Aki Reijonen, Giulio Jacucci, Petri Myllymäki, Samuel Kaski

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

Abstract

Current search engines offer limited assistance for exploration and information discovery in complex search tasks. Instead, users are distracted by the need to focus their cognitive efforts on finding navigation cues, rather than selecting relevant information. Interactive intent modeling enhances the human information exploration capacity through computational modeling, visualized for interaction. Interactive intent modeling has been shown to increase task-level information seeking performance by up to 100%. In this demonstration, we showcase SciNet, a system implementing interactive intent modeling on top of a scientific article database of over 60 million documents.
Original languageEnglish
Title of host publicationProceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York, NY, USA
PublisherACM
Pages1043-1044
Number of pages2
ISBN (Print)978-1-4503-3621-5
DOIs
Publication statusPublished - 2015

Publication series

NameSIGIR '15
PublisherACM

Fingerprint

Dive into the research topics of 'SciNet: Interactive Intent Modeling for Information Discovery'. Together they form a unique fingerprint.

Cite this