Short-term User Behaviour Changes Modelling

As the Web becomes more and more dynamic, it is interesting to explore the short-term modelling of its user behaviour. Nowadays, it is important to have an information about user’s preferences and needs online. It allows us, in addition to other advantages, also to predict user’s future actions. In this paper we describe the doctoral research focused on the modelling of the short-term changes in user’s behaviour. We explore the task of user session exit intent prediction. Our approach employs generally available data sources on user behaviour on the Web, so it is domain independent.