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http://dx.doi.org/10.5392/JKCA.2021.21.07.134

Personalized University Educational Contents Recommendation Scheme for Job Curation Systems  

Lim, Jongtae (충북대학교 정보통신공학부)
Oh, Youngho (충북대학교 빅데이터학과)
Choi, JaeYong (충북대학교 정보통신공학부)
Pyun, DoWoong (충북대학교 빅데이터학과)
Lee, Somin (충북대학교 정보통신공학부)
Shin, Bokyoung (충북대학교 정보통신공학부)
Chae, Daesung (충북대학교 빅데이터학과)
Bok, Kyoungsoo (원광대학교 SW융합학과)
Yoo, Jaesoo (충북대학교 정보통신공학부)
Publication Information
The Journal of the Korea Contents Association / v.21, no.7, 2021 , pp. 134-143 More about this Journal
Abstract
Recently, with the development of mobile devices and social media services, contents recommendation schemes have been studied. They are typically applied to the job curation systems. Most existing university education content recommendation schemes only recommend the most frequently taken subjects based on the student's school and major. Therefore, they do not consider the type or field of employment that each student wants. In this paper, we propose a university educational contents recommendation scheme for job curation services. The proposed scheme extracts companies that a user is interested in by analyzing his/her activities in the job curation system. The proposed scheme selects graduates or mentors based on the reliability and similarity of graduates who have been employed at the companies of interest. The proposed scheme recommends customized subjects, comparative subjects, and autonomous activity lists to users through collaborative filtering.
Keywords
Job Curation; Educational Contents; Contents Recommendation; Personalized Recommendation; Recommendation System;
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1 J. A. Konstan, B. N. Miller, D. Maltz, J. L. Herlocker, L. R. Gordon, and J. Riedl, "Grouplens: Applying collaborative filtering to usenet news," Communications of the ACM, Vol.40, No.3, pp.77-87, 1997.   DOI
2 B. M. Sarwar, G. Karypis, J. A. Konstan and J. Riedl, "Item-based collaborative filtering recommendation algorithms," Www, Vol.1, pp.285-295, 2001.
3 Z. Zhao and M. Shang, "User-based collaborative-filtering recommendation algorithms on hadoop," Proc. of the International Conference on Knowledge Discovery and Data Mining, 2010.
4 L. Yao, Z. Xu, X. Zhou, and B. Lev, "Synergies Between Association Rules and Collaborative Filtering in Recommender System: An Application to Auto Industry," Data Science and Digital Business, pp.65-80, 2019.
5 J. L. Herlocker, J. A. Konstan, and J. Riedl, "Explaining collaborative filtering recommendations," Proc. of the 2000 ACM conference on Computer supported cooperative work, pp.241-250, 2000.
6 X. He, L. Liao, H. Zhang, L. Nie, X. Hu, and T. S. Chua, "Neural collaborative filtering," Proc. of the 26th international conference on world wide web, pp.173-182, 2017.
7 X. Su and T. M. Khoshgoftaar, "A survey of collaborative filtering techniques," Advances in artificial intelligence, 2009.
8 Y. Lee, S. Lee, and C. Wang, "The Educational Contents Recommendation System Design based on Collaborative Filtering Method," Journal of Korean Association of Computer Education, Vol.6, No.2, pp.147-156, 2003.
9 Y. Koren and R. Bell, "Advances in collaborative filtering," Recommender systems handbook, pp.77-118, 2015.
10 Y. S. Lee, B. C. Chang, H. S. Kang, and J. H. Cha, "The educational contents recommendation system using the competency ontology," Journal of Digital Contents Society, Vol.11, No.4, pp.487-494, 2010.
11 R. Noor and A. K. Farman, "Personalized recommendation strategies in mobile educational systems," Proc. of International Conference on Innovative Computing Technology (INTECH). IEEE, 2016.
12 N. Saraswat, H. Ghosh, M. Agrawal, and U. Narayanan, "Contextual recommendation of educational contents," Proc. of International Conference on Artificial Intelligence in Education, pp.439-448, 2015.
13 C. Romero, S. Ventura, J. A. Delgado, and P. De Bra, "Personalized links recommendation based on data mining in adaptive educational hypermedia systems," Proc. of European conference on technology enhanced learning, pp.292-306, 2007.
14 L. G. Ferreira, J. L. V. Barbosa, J. C. Gluz, V. K. Matter, and D. N. F. Barbosa, "Using Learner Group Profiles for Content Recommendation in Ubiquitous Environments," International Journal of Information and Communication Technology Education (IJICTE), Vol.16, No.4, pp.1-19, 2020.
15 P. Di Bitonto, T. Roselli, and V. Rossano, "Recommendation in e-learning social networks," Proc. of International Conference on Web-Based Learning, pp.327-332, 2011.
16 H. V. Nguyen and L. Bai, "Cosine similarity metric learning for face verification," In Asian conference on computer vision, pp.709-720, 2010.