Personalized Learning Resources Recommendation Model Based on Transfer Learning

摘要：

This paper based on the traditional learning resources of collaborative-filtering personalized recommendation systems exist sparse and cold start is put forward based on the personal learning resources study migration recommend model,study method can move from existing data transfer knowledge,to help the new knowledge in the future study. E-Learning environment,use of knowledge transfer for learners to provide the study resources recommended. And in a certain degree of collaborative-filtering solve sparse solution and cold start-up problem.

关键词： Transfer Learning Collaborative filtering Personal learning resources recommended

作者: Huayue Chen

作者单位: Computer College China West Normal University NanChong,China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 14-16

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）