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The massive growth of the Internet has made an enormous amount of infor- tion available to us. However, it is becoming very difficult for users to acquire an - plicable one. Therefore, some techniques such as information filtering have been - troduced to address this issue. Recommender systems filter information that is useful to a user from a large amount of information. Many e-commerce sites use rec- mender systems to filter specific information that users want out of an overload of - formation [2]. For example, Amazon. com is a good example of the success of - commender systems [1]. Over the past several years, a considerable amount of research has been conducted on recommendation systems...
Senior information executives are currently confronted by a continually growing and increasingly complex set of challenges. These include rapidly changing technologies, environmental issues and the current global economic situation. This book, volume 3 in the Global E-Governance Series, brings together the contributions of acknowledged experts from all over the world, who have presented papers and participated in discussions at three recent conferences on e-government, the role of the CIO (Chief Information Officer) and e-governance. They give us their frank and honest insights, and share with us not only their successes, but also their failures and the lessons they have learnt from them. Di...
This book constitutes the refereed proceedings of the IFIP TC 8 International Conference on E-Government and E-Services, EGES 2010 and the IFIP TC 8 International Conference on Global Information Systems Processes, GISP 2010, held as part of the 21st World Computer Congress, WCC 2010, in Brisbane, Australia, in September 2010. The 12 revised full papers presented at EGES were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on interoperability, participation, adoption and diffusion, back-end transformation, and new applications. The 6 revised full papers presented at GISP were carefully reviewed and selected from 13 submissions. They are organized in two parts: global case studies on process design issues with four papers covering the contextual settings of Singapore, Kuwait, Finland and South Africa, and globalized process design with two papers dealing with the demands of large scale process models and a process design project covering two continents.
This book constitutes the refereed proceedings of the 10th International Conference on Discovery Science, DS 2007, held in Sendai, Japan, in October 2007, co-located with the 18th International Conference on Algorithmic Learning Theory, ALT 2007. The papers cover all issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery.
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