A personalized recommendation algorithm based on Extenics

摘要：

　　Personalized recommendation is to recommend some new items to the users based on their preference.In this paper, a new personalized recommendation algorithm based on Extenics is presented.All items are represented as matter-elements with characteristics and value intervals.We can compute the similarity of two items on the same characteristics with value intervals.Based on the similarity of characters, the similarity of two items can be calculated.Furthermore, we can get the similarity of a candidate item with the target item set.According to the similarity of an item with target set, top-n recommendation can be implemented.From a study case, we can see that the new recommendation algorithm is simple, implemental and effective.

作者: Y.Ding H.Gao W.Liu

作者单位: Transportation Management College, Dalian Maritime University, Dalian, Liaoning, China Department of Mathematics, Dalian Maritime University, Dalian, Liaoning, China

会议类型: 国际会议

会议名称: International Symposium on Extenics and Innovation Methods(可拓性与创新方法国际研讨会)

会议地点: 北京

会议语种:英文

页码: 101-107

在线出版日期: 2013-08-16（万方平台首次上网日期，不代表论文的发表时间）