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:
Towards fine-grained adaptation of exploration/exploitation in information retrieval IUI 2017
Is exploratory search different? A comparison of information search behavior for exploratory and lookup tasks JASIST 2016
Balancing exploration and exploitation: Empirical parameterization of exploratory search systems CIKM 2015
Directing exploratory search: Reinforcement learning from user interactions with keywords IUI 2013
The group has moved back to the Department of Computer Science, University of Helsinki. Moi moi Edinburgh!
Two papers accepted at CHIIR 2019, based on work by Chien-yu Huang and Dhruv Tripathi during their MSc projects. Well done!
Please submit your articles to our IUI 2019 workshop on Exploratory Search and Interactive Data Analytics in Los Angeles, USA! Please see the call for papers on the ESIDA website for details.
Dorota presented our paper How consistent is relevance feedback in exploratory search? at CIKM 2018 in Torino, Italy.
Group Leader
Assistant Professor
Co-group Leader
Post-doctoral researcher
PhD student (University of Edinburgh)