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dc.contributor.author김상욱-
dc.date.accessioned2017-06-09T05:14:11Z-
dc.date.available2017-06-09T05:14:11Z-
dc.date.issued2015-09-
dc.identifier.citationHT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media, Page. 331-332en_US
dc.identifier.isbn978-1-4503-3395-5-
dc.identifier.urihttp://dl.acm.org/citation.cfm?doid=2700171.2791048-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/27721-
dc.description.abstractAskStory is a company providing an e-recruitment service where job seekers find a variety of job openings. This paper discusses an approach to recommending job openings attractive to job seekers.en_US
dc.description.sponsorshipThis research was supported by (1) Business (Grants No.C0191469) for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2014 and (2) the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A1A10054151).en_US
dc.language.isoenen_US
dc.publisherACM Hypertexten_US
dc.subjecte-recruitment servicesen_US
dc.subjectjob matchingen_US
dc.subjectjob recommendationen_US
dc.titleOn Recommending Job Openingsen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/2700171.2791048-
dc.relation.page331-332-
dc.contributor.googleauthorLee, Yeon-Chang-
dc.contributor.googleauthorHong, Jiwon-
dc.contributor.googleauthorKim, Sang-Wook-
dc.relation.code20150225-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidwook-
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COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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