INORM: A New Approach in E-commerce Recommendation

Author

Memari, Mozhgan ; Amerian, Ali

Author_Institution

Inf. Technol. Dept., NIORDC Co., Tehran, Iran

Volume

2

fYear

2010

fDate

19-21 March 2010

Firstpage

55

Lastpage

59

Abstract

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.

Keywords

consumer behaviour; electronic commerce; recommender systems; INORM; behavioral algorithms; costumer navigational algorithm; customer behavior; e-commerce recommendation; hybrid recommendation methodology; intelligent recommendation system; recommender systems; Association rules; Collaboration; Companies; Data mining; Databases; Electronic commerce; Information filtering; Information filters; Navigation; Recommender systems; collaborating filtering; customers´ behavior; recommendation methods; recommendation quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICCEA), 2010 Second International Conference on

Conference_Location

Bali Island

Print_ISBN

978-1-4244-6079-3

Electronic_ISBN

978-1-4244-6080-9

Type

conf

DOI

10.1109/ICCEA.2010.167

Filename

5445625