Human uncertainty and ranking error
Kevin Jasberg, Sergej Sizov · 2018
One of the most crucial issues in data mining is to model human behaviour in order to provide personalisation, adaptation and recommendation. This usually involves implicit or explicit knowledge, either by observing user interactions, or by asking users directly. But these sources of information are always subject to the volatility of human decisions, making the so gathered data uncertain to a particular extent.