AHP-Based Domain Features Recommendation Method

摘要：

　　Recent years,many researchers are focus on personalized recommendation in the area of knowledge discovery.Due to the user privacy,a recommender system finds it is hard to help individual user to find the items which the user prefers quickly and precisely.So,we combine domain features with AHP model to help us solve the problem.In this paper,we introduce a new recommendation method named AHP-Based domain recommendation method.It intends to utilize item domain features to construct user preference model,and then generates recommendation results by combining user preference model with collaborative filtering(CF)algorithm.After this,we verify our own method by comparing with other three recommendation methods including items-based,ratings-based and F-MADM.As we suspect,the results show our method achieves the best result.

关键词： personalized recommendation domain features AHP model collaborative filtering

作者: Bao JianMin Xue SiMeng

作者单位: Department of Internet of Things Nanjing University of Posts and Telecommunications Nanjing,P.R.China

会议类型: 国际会议

会议名称: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

会议地点: 重庆

会议语种:英文

页码: 768-772

在线出版日期: 2017-10-03（万方平台首次上网日期，不代表论文的发表时间）