• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IIAI International Congress on Advanced Applied Informatics >Course Recommender System for Student Enrollment Using Augmented Reality
【24h】

Course Recommender System for Student Enrollment Using Augmented Reality

机译：基于增强现实的学生推荐课程推荐系统

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

To comply with Thailand 4.0, this paper aims at developing an innovative course recommender system for student enrollment in Martin de Tours School of Management and Economics, Assumption University. The research model namely, AR-CoReSSe (Course Recommender System for Student Enrollment using Augmented Reality) is consisted of 4 main components; Hybrid recommender system, Collaborative filtering (CF), RFD (Recency, Frequency, Duration) model and Augmented Reality (AR) technology. The results from data analysis of the proposed model show that the real time relevance feedback of hybrid recommender system, analytical recommended information of the CF model, students period of time preparing for the enrollment of RFD and video presentation by lecturer of AR have significant relationship with students majoring in marketing, non-major students and students majoring in finance and banking, all at highly significant level.
机译：为了符合泰国4.0，本文旨在为假设大学的马丁·德·图尔斯管理与经济学院的学生招生开发一个创新的课程推荐系统。研究模型AR-CoReSSe（使用增强现实的学生入学课程推荐系统）由4个主要部分组成;混合推荐系统，协作过滤（CF），RFD（新近度，频率，持续时间）模型和增强现实（AR）技术。提出的模型的数据分析结果表明，混合推荐系统的实时相关性反馈，CF模型的解析推荐信息，学生准备RFD入学的时间和AR讲师的视频演示与推荐率有着密切的关系。市场营销专业的学生，​​非主要学生以及金融和银行专业的学生，​​都处于高度重要的水平。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号