Research Article
Personalized Recommendation Framework for e-Government Services
@INPROCEEDINGS{10.4108/eai.27-2-2020.2303138, author={Mohammed Wasid and Rashid Ali and Ravi Gupta}, title={Personalized Recommendation Framework for e-Government Services}, proceedings={Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2021}, month={3}, keywords={collaborative filtering e-governance fuzzy logic ict recommender systems}, doi={10.4108/eai.27-2-2020.2303138} }- Mohammed Wasid
Rashid Ali
Ravi Gupta
Year: 2021
Personalized Recommendation Framework for e-Government Services
ICIDSSD
EAI
DOI: 10.4108/eai.27-2-2020.2303138
Abstract
The primary goal of e-Governance has been conceived as an approach to deliver government services to the citizens and business, by making use of Information and Communication Technologies (ICT) to enhance the efficiency, interactivity of government services, quality, increase the interaction between government and stakeholders. Moreover, the use of e-Governance is the way towards accelerating smart cities initiatives. In our research, personalized e-services will make e-Governance the more accurate and effective approach. To achieve this, we proposed a recommendation framework where e-service recommendations are done based on the similarity between likeminded hybrid user profiles through clustering. The Compact user profile is used to calculate the correlation between different users and to identify likeminded users to generate similar recommendations.