An Enhanced Adaboost Algorithm for Information Recommendation System

摘要：

Social network site is now becoming one of the most popular applications , almost everyone has his own social network account , information recommendation is one of the key technologies in todays data mining field. According to users features ,auto classification is the key to this problem. The users has many different features, based on statistics ,this paper proposed a new way to recognize the users feature .Also This paper proposed a new way to recommend information based on the enhanced adaboost algorithm. The efficiency is apparently improved , and the Acceptance of user has reached eighty percent, It could be used in many areas with high value.

关键词： enhanced adaboost social network information recommendation data mining

作者: Kai Sun

作者单位: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China

会议类型: 国际会议

会议名称: 2011 Fourth International Symposium on Computational Interlligence and Design 第四届计算智能与设计国际会议 ISCID 2011

会议地点: 杭州

会议语种:英文

页码: 714-717

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）