An Analysis of Web Mining-based Recommender Systems for E-commerce

摘要：

　　This article proposes a framework of Web miningbased recommender systems for e-commerce.Building on clustering analysis of data involving Web usage,content and structure,the author demonstrates how to provide users with effective recommender services according to the mining results obtained by recommender engine.Finally,the author reaches his conclusion of the advantages and practicalities of Web mining-based recommender systems for e-commerce.

关键词： E-commerce Clustering Recommender Systems and Personalized Services

作者: Luo Ya

作者单位: Guizhou University of Finance and Economics

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 167-170

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）