Design of the Tourism-information-service-oriented Collaborative Filtering Recommendation Algorithm

摘要：

Personalized recommendation technology is one key application in modern Electronic commerce field with optimistic prospect. As the urgency of the use of recommendation technology in tourism industry, the authors try to design a collaborative filtering recommendation algorithm integrating with nearest neighbor recommendation and cluster analysis referring to national criteria Classification, Investigation and Evaluation of Tourism Resource on the base of existing collaborative filtering recommendation technology. Theoretical mechanism and realization method of this improved collaborative filtering recommendation algorithm will be also discussed.

关键词： recommendation algorithm collaborative filtering tourism information service

作者: Zhang Mu Chen Shan Luo Jing Feng Lei

作者单位: GIS & Tourism IT Laboratory Shenzhen Tourism College of Jinan University Shenzhen, Guangdong Provinc Business English Department Shenzhen Tourism College of Jinan University Shenzhen, Guangdong Provinc Tourism Management Department Shenzhen Tourism College of Jinan University Shenzhen, Guangdong Provi

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 361-365

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）