(2004), an Ideal Point model was trained over both politicians and bills/issues, and at inference time the similarity between politician and bill was used to determine how likely the politician was to vote for the bill.
most politicians have distinct views on different issues, meaning that the views of one politician cannot be captured in a single dimension.