Recommendation technique-based government-to-business personalized e-services

One of the new directions in current e-government development is to provide personalized online services to citizens and businesses. Recommendation techniques can bring a possible solution for this issue. This study proposes a hybrid recommendation approach to provide personalized government to business (G2B) e-services. The approach integrates fuzzy sets-based semantic similarity and traditional item-based collaborative filtering methods to improve recommendation accuracy. A recommender system named Intelligent Business Partner Locator (IBPL) is designed to apply the proposed recommendation approach for supporting government agencies to recommend business partners. ©2009 IEEE

The Future of eGovernment : An Exploration of ICT-driven Models of eGovernment for the EU in 2020

This report aims to describe how ICT can enable and shape future models of eGovernment. It summarizes the results of a research project, carried out by TNO and DTI on behalf of IPTS, based on desk research, expert interviews and a scenario-building exercise. It first identifies seven "hotspots" where ICT has a key impact on specific government tasks. It then analyzes these impacts under different possible future scenarios, in order to assess their robustness and the different implications for future models of eGovernment. It finally proposes a new measurement framework suitable for these future models, and outlines the key research challenges and policy options that emerge from this analysis.JRC.J.4-Information Societ