Abstract
eDemocracy aims to increase participation of citizens in democratic processes through the use of information and communication technologies. In this paper, an architecture of recommender systems for eElections using fuzzy clustering methods is proposed. The objective is to assist voters in making decisions by providing information about candidates close to the voters preferences and tendencies. The use of recommender systems for eGovernment is a research topic used to reduce information overload, which could help to improve democratic processes.
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Terán, L., Meier, A. (2010). A Fuzzy Recommender System for eElections. In: Andersen, K.N., Francesconi, E., Grönlund, Å., van Engers, T.M. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2010. Lecture Notes in Computer Science, vol 6267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15172-9_6
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DOI: https://doi.org/10.1007/978-3-642-15172-9_6
Publisher Name: Springer, Berlin, Heidelberg
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