@inproceedings{15faaee82ce54809b79b51490062591e,
title = "Visualizing User Model in Exploratory Search Tasks",
abstract = "We present our ongoing work on an interactive exploratory information retrieval system designed to explain to the user the reasons for its predictions and help the user to build a mental model to predict how the system will behave. Users indicate which documents interest them and reinforcement learning is used to model the user by allowing the system to trade off between exploration and exploitation.",
author = "Kalle Ilves and Alan Medlar and Dorota Glowacka",
year = "2015",
month = nov,
day = "1",
language = "English",
volume = "43",
series = "Proceedings of Machine Learning Research",
publisher = "PMLR",
pages = "46--47",
editor = "Heriberto Cuay{\'a}huitl and Nina Dethlefs and Lutz Frommberger and Otterlo, {Martijn Van} and Olivier Pietquin",
booktitle = "Proceedings of The 4th Workshop on Machine Learning for Interactive Systems at ICML 2015",
}