Earticle

초록

영어

Recommendation algorithm is a kind of method in information filtering and has been widely applied on Internet. Collaborative filtering is widely used in the recommendation systems and has turned out to be successful. With the growth of the resources, it is difficult for users to find learning resources that suit for themselves. The recommendation algorithm is required to analyze the behavior of the users and then recommend object of learning. Online judge is a kind of the online learning. People can evaluate their programming ability through online judge. The performance of the different recommendation algorithms is analyzed in this paper and it is proposed that the item-based collaborative filtering recommendation algorithms should be applied into the online learning system. Based on the algorithm, we propose that by pre-processing the data and using user data that have solve large number of problems, we can get a better recommendation result.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. The Recommendation Algorithms
  2.2. The Collaborative Filtering Recommendation Algorithms
 3. The Application of the Recommendation Algorithms in Online Learning
  3.1. The Online Learning
 3.2. The Description of the Problem
 3.3. The Application of the Item-based CF Recommendation Algorithms in Online Learning Platform
 4. The Experiment
  4.1. Data Sets and Evaluation Metrics
  4.2. The Traditional Item-based Recommendation Algorithm
  4.3. The Item-based CF Recommendation Algorithm by Group Users
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Ruiguo Yu [ School of Computer Science and Technology, Tianjin University, Tianjin, China, Tianjin Key Laboratory of Cognitive Computing and Application ]
• Zhiyong Cai [ School of Computer Science and Technology, Tianjin University, Tianjin, China, Tianjin Key Laboratory of Cognitive Computing and Application ]
• Xiuping Du [ School of Education, Tianjin University, Tianjin, China ]
• Muwen He [ Information and Network Center, Tianjin University, Tianjin, China ]
• Zan Wang [ School of Computer and Software, Tianjin University, Tianjin, China ]
• Binlan Yang [ School of Computer Science and Technology, Tianjin University, Tianjin, China ]
• Peng Chang [ Information and Network Center, Tianjin University, Tianjin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605