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

页码：55 / 59

页数：5

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