Title :
INORM: A New Approach in E-commerce Recommendation
Author :
Memari, Mozhgan ; Amerian, Ali
Author_Institution :
Inf. Technol. Dept., NIORDC Co., Tehran, Iran
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;
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
DOI :
10.1109/ICCEA.2010.167
