Research on the Application of Recommendation Engine Based on Collective Intelligence in Intelligent Web

摘要：

Collective Intelligence has been playing an important role in various intelligent web applications.As one of ap-plications, the created process of recommendation engine based on collaborative filtering is given in the paper,which takes a shopping website as an example,and combines us-erbased similarity and item-based similarity both on the basis of Jaccard similarity to make the recommendation list more reasonable.

关键词： Collective Intelligence intelligent web recommen-dation engine Collaborative Filtering Jaccard similarity

作者: Xu Xiaolin Xu Guanglin

作者单位: College of Computer and Information Shanghai Second Polytechnic University Shanghai.China College of Mathematics and Information Shanghai Lixin University of Commerce Shanghai,China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 2298-2302

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）