E-commerce Recommendation System Based on CBR and Web Log Mining

摘要：

The recommendation service is an important part of E-commerce. After analyzing the feasibility to combine CBR (Case-based Reasoning) and web log mining with recommendation system in E-commerce, we integrate the two techniques into E-commerce recommendation system effectively, and propose a framework for the recommendation system adopting B/S structure and design thought of multi-layer. The key technologies of the proposed framework are also given.

作者: Ya-min WANG Xue-ling HAN Xiao-wei LIU

作者单位: School of Economy and Management, Xidian University, Xi’an, China

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 311-315

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）