[1]陆晓敏 崇志宏 陈国庆.基于本体的商品推荐方法[J].计算机技术与发展,2012,(10):10-14.
 LU Xiao-min,CHONG Zhi-hong,CHEN Guo-qing.Product Recommending Method Based on Ontology[J].,2012,(10):10-14.
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基于本体的商品推荐方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年10期
页码:
10-14
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Product Recommending Method Based on Ontology
文章编号:
1673-629X(2012)10-0010-05
作者:
陆晓敏1 崇志宏2 陈国庆1
[1]东南大学软件学院[2]东南大学计算机科学与工程学院
Author(s):
LU Xiao-min1 CHONG Zhi-hong2 CHEN Guo-qing1
[1]College of Software Engineering, Southeast University[2]School of Computer Science and Engineering, Southeast University
关键词:
电子商务知识推荐系统本体
Keywords:
e-commerce knowledge recommending system ontology
分类号:
TP39
文献标志码:
A
摘要:
文中主要针对目前大多数推荐系统所存在的冷启动问题和用户兴趣漂移问题提出基于本体的解决方案。该方案首先运用关联规则挖掘算法对已有的用户数据进行挖掘,生成规则库。接着利用推理机结合规则库和商品与客户本体进行推理,从推理结果中选择与当前用户所浏览的商品相比具有较高相似性的商品向用户推荐。该方案考虑到用户个性化的需求,帮助用户找到所需商品,从而将用户从浏览者转变为购买者,提高了用户的忠诚度,给企业带来效益
Abstract:
It proposes solutions mainly aiming at the problems in the most existing recommending system such as cold start-up issues and user interests drift problem. This solution first uses association rule mining algorithm on existed customer data to generate rule base, then uses inference engine to generate inference results and select some products from these results. The selected products have higher similarity with the product which the user is browsing. This can help users find the necessary goods to meet users' personalized requirements, change users from visitors to buyers, improve users' loyalty through the website interact with users" thus increasing the efficiency of enterprises

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(60973023)陆晓敏(1987-),男,硕士,研究方向为商务智能、个性化推荐;崇志宏,副教授,研究方向为数据分析、数据存储
更新日期/Last Update: 1900-01-01