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Title:Enter a job, get course recommendations
Author(s):Li, Nan; Suri, Naren; Gao, Zheng; Xia, Tian; Börner, Katy; Liu, Xiaozhong
Subject(s):Student program planning
Education
Text/Graph mining
Abstract:In an interdisciplinary learning environment, students are facing difficulties to locate the right education opportunities, e.g., campus courses or MOOCs, to achieve their career goals. In this paper, we propose a novel student program planning system. Using the system, students can enter job preferences, e.g., “Software Engineer at Google", and text-based and network graph-based recommendation algorithms will suggest education opportunities that help students achieve their career goals. Preliminary results show that the proposed solution is promising in recommending students a personalized education plan.
Issue Date:2017
Publisher:iSchools
Citation Info:Li, N., Suri, N., Gao, Z., Xia, T., Börner, K. & Liu, X. (2017). Enter a Job, Get Course Recommendations. In iConference 2017 Proceedings, Vol. 2 (pp. 118-122). https://doi.org/10.9776/17227
Series/Report:iConference 2017 Proceedings Vol. 2
Genre:Conference Paper / Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/98865
DOI:https://doi.org/10.9776/17227
Rights Information:Copyright 2017 is held by the authors.
Date Available in IDEALS:2017-12-05


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