Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 461-467.

• Big Data & Data Mining • Previous Articles     Next Articles

Personalized Learning Resource Recommendation Method Based on Three-dimensionalFeature Cooperative Domination

LI Hao-jun, ZHANG Zheng, ZHANG Peng-wei   

  1. College of Education Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: Personalized recommendation is becoming an important form of information service era,and it is an effective way to alleviate knowledge disorientation and improve learning efficiency.In order to meeting learners’ personalized needs for online learning resources,personalized recommendation technology is increasingly important.Therefore,this paper proposed a personalized learning resource recommendation method based on three-dimensional feature cooperative domination (TPLRM).Firstly,a personalized learning resource recommendation model based on three-dimensional feature cooperative domination is constructed,resource recommendation feature parameters are improved,and fitness function is built.Secondly,the binary particle swarm optimization algorithm based on fuzzy control of Gauss’s membership function (FCBPSO) is used to solve the model.Finally,the evaluation target system is established.Five groups of comparative experiments verifies that TPLRM recommendation method has better recommendation performance.

Key words: Personalized learning resource recommendation, Binary particle swarm optimization algorithm, Fuzzy control, Membership function

CLC Number: 

  • TP311
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