电子商务个性化推荐系统的应用  

Electronic Commerce Personalized Recommendation System Applied

作　　者：张永攀[1] 冯锡炜[1] 关沧[1] 汪俭华[1] 毕福伟 

机构地区：[1]辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001 [2]抚顺石化公司石油三厂,辽宁抚顺113001

出　　处：《辽宁石油化工大学学报》2013年第1期69-73,共5页Journal of Liaoning Petrochemical University

基　　金：辽宁省教育厅科学研究项目(L2011055);辽宁省教育科学"十二五"规划立项课题(JG11DB163)

摘　　要：在传统的电子商务推荐系统的基础上,引入了分布式计算、基于语义的发布/订阅、本体库等技术手段,设计了一种个性化电子商务推荐模型系统,构建了电影领域的本体库,并在Protégé3.3.1中实现本体库模型。重点实现了用户特性聚类算法和基于语义的发布/订阅匹配算法。实验结果表明,基于发布/订阅的个性化推荐系统具有较好的推荐准确率。Based on the traditional electronic commerce recommendation system, these technology means such as distributed computing, publish＇subscribe hased on the semantic, and ontology were introduced. The personalized electronic commerce recommendation model architecture was designed. The film areas ontology was constructed, which was implemented by Protege 3.3. 1 ontology model tool. Tim architecture core algorithms were described in detail, which are the clustering algorithm of users characteristics and the match algorithm of publish/subscribe based on the semantic. The experimental resuhs show that lhe personalized recommendation system based on publish/subscribe has a good recommendation accuracy.

关 键 词：电子商务推荐 语义 发布 订阅 本体库 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]