摘要 |
<p>One aspect of the present invention (Figure 1) relates to using data from test subjects to develop a model encoding a generalized relationship between user characteristics and candidate preferences. The test subjects can take extensive amounts of time to investigate candidates, whereby the model can relate user characteristics to informed candidate preferences. Another aspect of the invention relates to applying the model to provide users with voting recommendations, which relate to how the users would vote if the users were to undertake an extensive investigation of the candidates such as undertaken by the test subjects. According to a further aspect of the invention, users are divided based on their characteristics among clusters, which can be defined in such a way that cluster identity is highly predictive of candidate preferences. Clusters can be used to encourage block voting, form political parties, and to conduct political research.</p> |