Year-end Sale % OFF 
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.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computational Systems Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
