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Agent-Based Simulation for Agricultural Learning Resource Recommendation Based on Geographical Similarities

文献类型： 会议论文

第一作者： Wei Chen

作者： Wei Chen 1 ; Zhemin Li 1 ;

作者机构： 1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences

关键词： Agent-based simulation;Agricultural learning;Recommender system

会议名称： International Symposium on Emerging Technologies for Education

主办单位：

页码： 558-563

摘要： As the development of information technology and intelligent tutoring, web-based learning has been widely used nowadays to help people acquire knowledge in a flexible way. Especially, web-based learning services can greatly facilitate farmers to gain knowledge on farming. It is observed that learning goals and preferences tend to be localized for farming knowledge due to similar climate and soil conditions in an area. Therefore, geographical information can be utilized to recommend agricultural learning resources. In this paper, an agricultural learning resource recommendation approach is proposed using agent-based simulation that takes geographical information into account. The agent simulation environment is introduced. A distance-aware agent reputation model is presented. A multi-agent collaborative recommendation approach is proposed. Simulation experiments are conducted for the evaluation of the proposed approach. The results show good performance of it.

分类号： TP3-53

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