电子商务个性化推荐系统的应用

辽宁石油化工大学学报 ›› 2013, Vol. 33 ›› Issue (1): 69-73.

电子商务个性化推荐系统的应用

张永攀¹,冯锡炜^1* ,关沧¹,汪俭华¹,毕福伟²

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

收稿日期:2012-05-02 出版日期:2013-03-25 发布日期:2017-07-14
作者简介:张永攀(1982-),男,辽宁营口市,在读硕士
基金资助:
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)

Electronic Commerce Personalized Recommendation System Applied

ZHANG Yongpan¹， FENG Xiwei^1*， GUAN Cang¹， WANG Jianhua¹， BI Fuwei²

1.School of Computer and Communication Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China;  2.The No.3 Refinery of Fushun Petrochemical, Liaoning Fushun 113001, China

Received:2012-05-02 Published:2013-03-25 Online:2017-07-14

摘要/Abstract

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Prot湨g湨3.3.1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。

关键词: 电子商务推荐 , 语义 , 发布/订阅, 本体库

Abstract: Based on the traditional electronic commerce recommendation system, these technology means such as distributed computing, publish/subscribe based 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 Protégé 3.3.1 ontology model tool. The 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 results show that the personalized recommendation system based on publish/subscribe has a good recommendation accuracy.

Key words: Electronic commerce recommendation , Semantic , Publish/subscribe , Ontology

张永攀,冯锡炜,关沧,汪俭华,毕福伟. 电子商务个性化推荐系统的应用[J]. 辽宁石油化工大学学报, 2013, 33(1): 69-73.

ZHANG Yongpan， FENG Xiwei，GUAN Cang，WANG Jianhua， BI Fuwei. Electronic Commerce Personalized Recommendation System Applied[J]. Journal of Liaoning Petrochemical University, 2013, 33(1): 69-73.

[1]	冯锡炜,王艳秋,薛峰,张同卫,卢红杰. 异构环境数据交换主动发现技术研究与实现[J]. 辽宁石油化工大学学报, 2009, 29(2): 53-55.
[2]	冯锡炜，张同卫，薛峰. 分布式信息资源发布订阅推荐模型研究[J]. 辽宁石油化工大学学报, 2008, 28(4): 65-68.