Research on Personalized Recommendation Algorithm based on User Model and User-Project Matrix

摘要：

With the dramatic increase of the amount of network information, the phenomenon of merchandise information overload has become more and more serious. Thus, the e-commerce sites are required to provide the most needed information for customers to attract their attention. The traditional recommendation algorithm ignores the connections among users own attributes and the changes in project scoring with each passing day. With the research of the traditional collaborative filtering recommendation algorithm, the paper put an emphasis on the combination of user model and user project matrix, and introduced the data of user attributes and the variation values of project scoring over time into the traditional recommendation algorithm. By experiment, the validity of the algorithm was confirmed.

关键词： component Personalized Recommendation User Model User-Project Matrix

作者: Ning Yuan Liu Limin Xu Zhiwei

作者单位: College of Information Engineering Inner Mongolia University of Technology Hohhot, China College of Information Engineering Inner Mongolia University of Technology Hohhot, zhina

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 2400-2402

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）