An intelligent system to boost the recommendation for individual and group users in mobile marketplace
by Amer A. Sallam; Siba K. Udgata; Vineet Padmanabhan
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 1, No. 1, 2012

Abstract: The ever-expanding volume and increasing complexity of information on the wired and wireless networks require a recommender system for users in a variety of information seeking and other mobile market place activities. This paper aims to propose an effective recommender system that can help mobile consumers formulate better purchasing decision by incorporating user profile. However, this system not only recommends items to users based on their interest, but is also capable of justifying the recommendations. The proposed recommender system has the potentiality to increase consumer satisfaction, enhance consumer/company loyalty, and boost overall sales by giving justification and creditability to the products that have high degree of interest to consumers. The results show a significant promise in the system's ability to make accurate recommendations to the users.

Online publication date: Sat, 23-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Systems Engineering (IJCSYSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email