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.
Keywords Recommender Systems - eDemocracy - eElections - Fuzzy Logic - Fuzzy Clustering