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http://dx.doi.org/10.22156/CS4SMB.2020.10.12.009

Design and Implementation of Interactive Search Service based on Deep Learning and Morpheme Analysis in NTIS System  

Lee, Jong-Won (Korea Institute of Science and Technology Information)
Kim, Tae-Hyun (Korea Institute of Science and Technology Information)
Choi, Kwang-Nam (Korea Institute of Science and Technology Information)
Publication Information
Journal of Convergence for Information Technology / v.10, no.12, 2020 , pp. 9-14 More about this Journal
Abstract
Currently, NTIS (National Technology Information Service) is building an interactive search service based on artificial intelligence technology. In order to understand users' search intentions and provide R&D information, an interactive search service is built based on deep learning models and morpheme analyzers. The deep learning model learns based on the log data loaded when using NTIS and interactive search services and understands the user's search intention. And it provides task information through step-by-step search. Understanding the search intent makes exception handling easier, and step-by-step search makes it easier and faster to obtain the desired information than integrated search. For future research, it is necessary to expand the range of information provided to users.
Keywords
Comunication Search Service; Deep Learning; AI; Intelligence Service; Morpheme Analyze;
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Times Cited By KSCI : 12  (Citation Analysis)
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