Current information retrieval (IR) systems still face plenty of challenges when applied in
addressing complex search tasks (CSTs) that trigger multi-round search iterations. Existing …

Searching for information when using a computerised retrieval system is a complex and
inherently interactive process. Individuals during a search session may issue multiple …

In interactive information retrieval, researchers consider the user behaviour towards systems
and search tasks in order to adapt search results and to improve the search experience of …

Analyzing and predicting user activity is important in the current digital era with a lot of use-
cases and applications. In this paper, we present an approach that facilitates a modification …

With significant increase in popularity of online education, need for educators to get to know
about learning experiences of students and to provide feedback to students has also been …

Simulating user sessions in a way that comes closer to the original user interactions is key to
generating user data at any desired volume and variety such that A/B-testing in domain …

Providing a satisfying user experience is key to successful digital libraries. An efficient
search user interface design requires a detailed understanding of user behaviour to match …

We present a study using new computational methods, based on a novel combination of
machine learning for inferring admixture hidden Markov models and probabilistic model …

This paper answers the research question: how can we model and understand the ways in
which users actually interact with software, given that usage styles vary from user to user …

Previous work on task-based interactive information retrieval (IR) has mainly focused on
what users found along the search process and the predefined, static aspects of complex …