Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김상욱 | - |
dc.date.accessioned | 2019-02-14T00:21:07Z | - |
dc.date.available | 2019-02-14T00:21:07Z | - |
dc.date.issued | 2016-10 | - |
dc.identifier.citation | 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Page. 2966-2971 | en_US |
dc.identifier.isbn | 978-1-5090-1897-0 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/7844691 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/98957 | - |
dc.description.abstract | DBpia is the largest digital-bibliography service provider in Korea. It provides several convenience functions for researchers. DBpia users (i.e., researchers) can search for papers via several search routes such as publications, publishers, authors, and keywords. Although the researchers can exploit the search functions, they may still have a number of search results as candidate papers to read. Therefore, it is crucial to provide a function of recommending most relevant papers to an individual user. In this paper, we (1) discuss several methods with four datasets of DBpia in the context of paper recommendation using content-based or graph-based recommendation, and (2) propose a hybrid approach suitable for paper recommendation combining the content-based and the graph-based approaches. We lastly conduct extensive experiments by a real-world academic literature dataset in DBpia to verify the effectiveness of our proposed approach. | en_US |
dc.description.sponsorship | This research was supported by “Project of Conversion by the Past R&D Result” through MOTIE and KIAT (N0001543,2015), two NRF Grants funded by MSIP (2014R1A2A1A10054151 and 2015R1A5A7037751), and the Grant (C0331227) funded by SMBA. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE SMA2016 | en_US |
dc.subject | digital bibliographical service | en_US |
dc.subject | paper recommendation | en_US |
dc.subject | hybrid approach | en_US |
dc.title | Recommendation of Research Papers in DBpia: A Hybrid Approach Exploiting Content and Collaborative Data | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/SMC.2016.7844691 | - |
dc.relation.page | 2966-2971 | - |
dc.contributor.googleauthor | Lee, Yeon-Chang | - |
dc.contributor.googleauthor | Yeom, Jungwan | - |
dc.contributor.googleauthor | Song, Kiburm | - |
dc.contributor.googleauthor | Ha, Jiwoon | - |
dc.contributor.googleauthor | Lee, Kichun | - |
dc.contributor.googleauthor | Yeo, Jangho | - |
dc.contributor.googleauthor | Kim, Sang-Wook | - |
dc.relation.code | 20160148 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | wook | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.