INORM: A New Approach in E-commerce Recommendation

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.