지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.13 No.3
- 발행연도
- 2024.6
- 수록면
- 225 - 235 (11page)
- DOI
- 10.5573/IEIESPC.2024.13.3.225
이용수
초록· 키워드
오류제보하기
Community education is confronted with the challenge of managing information overload. The issue of prompt and precise course recommendations was addressed by proposing a community education course recommendation model based on a listwise learning algorithm for social network recommendation ranking and a dynamic community education course recommendation model based on trust relationships. The list-learning algorithm for social network recommendation ranking had a minimum and maximum cumulative gain of approximately 0.73 and 0.82, respectively. The dynamic recommendation model for community education courses based on trust relationships had a maximum coverage of approximately 0.75, with a root mean square error of 1.25–1.4. The number of dynamic recommendations varied between approximately 2400 and 4100. These methods outperformed other algorithms, suggesting that the model positively affects community education programs and promotes their growth. In summary, the constructed model showed favorable application effects in recommending community education curricula and promoting the development of community education.
목차
Abstract
1. Introduction
2. Related Works
3. CE Course DR Models based on L2R2SN Algorithm and TR
4. Analysis of the Effectiveness of a CE Course DR Model based on the L2R2SN Algorithm and TR
5. Conclusion
Reference
참고문헌 (20)
참고문헌 신청
Da’u A, Salim N. Recommendation system based on deep learning methods: a systematic review and new directions. Artificial Intelligence Review, 2020, 53(4): 2709-2748. Article (CrossRef Link)
Gao H, Liu C, Yin Y, Xu Y, Li Y. A hybrid approach to trust node assessment and management for vanets cooperative data communication: Historical interaction perspective. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(9): 16504-16513. Article (CrossRef Link)
Gao H, Kuang L, Yin Y, Guo B, Dou K. Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps. Mobile Networks and Applications, 2020, 25(4): 1233-1248. Article (CrossRef Link)
Groton D B, Spadola C E. Variability, visuals, and interaction: online learning recommendations from social work students. Social work education, 2022, 41(2): 157-165. Article (CrossRef Link)
Imène S, Taleb A A, Nadir M, Badia K, Abdelkader O, Sofiane B. A System to Search and Recommend Learning Courses Sequences. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2022, 13(03): 914-919.
Gao H, Liu C, Yin Y, Xu Y, Li Y. A hybrid approach to trust node assessment and management for vanets cooperative data communication: Historical interaction perspective. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(9): 16504-16513. Article (CrossRef Link)
Gao H, Kuang L, Yin Y, Guo B, Dou K. Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps. Mobile Networks and Applications, 2020, 25(4): 1233-1248. Article (CrossRef Link)
Groton D B, Spadola C E. Variability, visuals, and interaction: online learning recommendations from social work students. Social work education, 2022, 41(2): 157-165. Article (CrossRef Link)
Imène S, Taleb A A, Nadir M, Badia K, Abdelkader O, Sofiane B. A System to Search and Recommend Learning Courses Sequences. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 2022, 13(03): 914-919.
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