An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Global Optimization
Multicampaign Assignment Problem
IEEE Transactions on Knowledge and Data Engineering
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
A Lagrangian Approach for Multiple Personalized Campaigns
IEEE Transactions on Knowledge and Data Engineering
The state-of-the-art of mobile payment architecture and emerging issues
International Journal of Electronic Finance
Models for financial services firms in developing countries based upon mobile commerce
International Journal of Electronic Finance
Measuring customer satisfaction with internet banking: an exploratory study
International Journal of Electronic Finance
Online payment service providers and customer relationship management
International Journal of Electronic Finance
Portfolio diversification: the role of information technology in future investment decision-making
International Journal of Electronic Finance
International Journal of Information Management: The Journal for Information Professionals
New theoretical findings in multiple personalized recommendations
Proceedings of the 2010 ACM Symposium on Applied Computing
A multi-tier framework for securing e-transactions in e-government systems of Saudi Arabia
International Journal of Electronic Finance
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In this paper, we attempt to solve the Multiple Campaign Assignment Problem (MCAP) using the Differential Evolution (DE) technique. We believe that the solution of MCAP can enhance business growth and consequently enhances the e-readiness ranking of a country. Multiple campaign assignment is a challenging NP-hard problem, which is hidden in more weighted criteria such as consumer and business adoption of e-readiness. Therefore, solving this problem can expedite levels of e-business and e-commerce such as e-finance, e-marketing and e-customer services and, hence, maximise the revenue of an organisation. In this context, we give a general framework for assessing the e-readiness ranking of a nation and solve the NP-hard MCAP using the biologically inspired DE technique.