An intelligent system to boost the recommendation for individual and group users in mobile marketplace Online publication date: Sat, 23-Aug-2014
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.
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