INORM: A new approach in e-commerce recommendation

被引:1
作者
Memari, Mozhgan [1 ]
Amerian, Ali [2 ]
机构
[1] NIORDC Co, Dept Informat Technol, Tehran, Iran
[2] TAM Co, Automat Dept, Tehran, Iran
来源
2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS: ICCEA 2010, PROCEEDINGS, VOL 2 | 2010年
关键词
recommendation methods; customers' behavior; recommendation quality; collaborating filtering; CUSTOMER LIFETIME VALUE; PERSONALIZATION;
D O I
10.1109/ICCEA.2010.167
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Developing an intelligent recommendation system is a good way to overcome the problem of overloaded product's information provided by the e-commerce enterprises. This paper proposes a new hybrid recommendation methodology, called INORM, based on recommendation methods and costumer navigational and behavioral algorithms to enhance the recommendation quality and the system performance of current recommender systems.
引用
收藏
页码:55 / 59
页数:5
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