A Method of Recommendation Based on Affection Semantic in E-Business

作     者：Wang Gang Department of Electronic& Information Engineering University of Ankang Shan’xi AnKang 725000 CHINA Yin fenxia Library of Ankang University University of Ankang Shan’xi AnKang 725000 CHINA 

会议名称：《International Conference on Broadcast Technology and Multimedia Communication(BTMC 2010)》

会议日期：2010年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：supported by Shan’xi Education fund(2009JK317 AYQDZR200916 and 2008akxy005) 

关 键 词：E-business Semantic Affection computing Data mining Association rules 

摘      要：Because current recommendation system haven’t considered user affection,we introduce affection semantic in recommendation system,and we propose a model of recommendation system based on affection semantic（RSBAS）.We design a method to get the affection support degree by affection recognition and analyzing goods emotional attributes,we use Gabor and SVM to recognize people’s feelings,and use it in apriori algorithm besides number support degree of traditional *** shows the efficiency and ability of our method.