A Fuzzy Recommender System for eElections

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A Fuzzy Recommender System for eElections
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.
Luis Terán, Andreas Meier
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where EGOV
Authors Luis Terán, Andreas Meier
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