Exploratory Search and Personalisation (ESP) group

We use reinforcement learning and user modelling to develop practical systems that help users navigate massive data sets interactively. The research interests of the group include personalisation, exploratory search, experimental design and evaluation methodology. Our research is published in top venues for information retrieval and human-computer interaction. We are part of the Department of Computer Science at the University of Helsinki.

Representative publications:

PDF Bandit algorithms in information retrieval Foundations and Trends in IR
PDF Towards fine-grained adaptation of exploration/exploitation in information retrieval IUI 2017
PDF Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks JASIST 2016
PDF Balancing exploration and exploitation: Empirical parameterization of exploratory search systems CIKM 2015
PDF Directing exploratory search: Reinforcement learning from user interactions with keywords IUI 2013

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